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Search results for hdfs

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  • HDFS vs. HBase : All you need to know">Silver Blog, May 2017HDFS vs. HBase : All you need to know

    …application/web servers, we implemented solution in Apache Storm and Apache Hbase together. Given the huge velocity of data, we opted for HBase over HDFS; as HDFS does not support real-time writes. The results were overwhelming; it reduced the query time from 3 days to 3 minutes. Use Case 2 –…

    https://www.kdnuggets.com/2017/05/hdfs-hbase-need-know.html

  • Making Data Science Accessible – HDFS

    ...is one of many approaches you could take to solve a business problem using large amounts of data. The key is being able pick and choose when to take HDFS off the shelf. At a high level: HDFS may help you if your problem is huge but not hard. If you can parallelize your problem, then HDFS coupled...

    https://www.kdnuggets.com/2016/08/making-data-science-accessible-hdfs.html

  • Hadoop for Beginners">Silver BlogHadoop for Beginners

    ...of computational nodes. What’s HDFS and what are its core components? Hadoop Master-Slave Architecture Master- NameNode and Slave –DataNode in HDFS HDFS stores files across many nodes in a cluster. Hadoop follows Master-Slave architecture and hence HDFS being its core component also...

    https://www.kdnuggets.com/2018/09/hadoop-beginners.html

  • Hadoop Key Terms, Explained

    ...library of common tools and utilities. Hadoop common is mainly used by developers during application development. 4. Hadoop Distributed File System (HDFS)   The Hadoop Distributed File System (HDFS) is a distributed file system spans across commodity hardware. It scales very fast and provides...

    https://www.kdnuggets.com/2016/05/hadoop-key-terms-explained.html

  • Spark for Scale: Machine Learning for Big Data

    ...ented in Java, and a Java API was made available. Developers were now able to write the map and reduce function, select the source of data from their HDFS installation, and run their MapReduce operations to get the insights they needed from the data. HDFS and MapReduce dominated the big data market...

    https://www.kdnuggets.com/2016/09/spark-scale-machine-learning-big-data.html

  • Hadoop as a Data Warehouse: Cracking the Code with Kudu

    …ystem is used to create a temporary table, which is then joined to the existing table in a view, which is then used to overwrite the existing data in HDFS at the end of the current time period. Confused? You’re not alone. Overcoming Immutability Cloudera recognized the issues that the immutability…

    https://www.kdnuggets.com/2017/06/hadoop-data-warehouse-kudu.html

  • Yahoo! CaffeOnSpark: Distributed Deep Learning on Big Data Clusters

    ...mples.MyMLPipeline \ caffe-grid-0.1-SNAPSHOT-jar-with-dependencies.jar \ -features fc8 \ -label label \ -conf caffenet_train_solver.prototxt \ -model hdfs:///sample_images.model \ -output hdfs:///image_classifier_model \ -devices 2 System Architecture Figure 5: System Architecture Figure 5...

    https://www.kdnuggets.com/2016/02/yahoo-caffe-spark-distributed-deep-learning.html

  • How to Choose a Data Format

    …pproaching this choice, and provide some example use cases. There are different data formats available for use in the Hadoop Distributed File System (HDFS), and your choice can greatly impact your project in terms of performance and space requirements. The findings provided here are based on my…

    https://www.kdnuggets.com/2016/11/how-to-choose-data-format.html

  • Top KDnuggets tweets, Jan 21-23: Free BigData education, Coursera “pseudo-degree”; What is Hadoop, MapReduce, HDFS

    ...0;pseudo-degree” program for Data Science bit.ly/YiEFU4 Free #BigData Education: Technical perspective – Learn what is Hadoop, MapReduce, HDFS, Pig, Hive, and more bit.ly/YiFOuS New Book: R and Data Mining: Examples and Case Studies bit.ly/10gtx5L How significant is columnar storage for...

    https://www.kdnuggets.com/2013/01/top-tweets-jan21-jan23.html

  • 8 Myths about Virtualizing Hadoop on vSphere Explained

    ...rs (10 physical servers) for trial purposes on their SAN -based storage, if they intend to place significant performance load on those clusters. With HDFS-aware NAS type storage, we have seen several deployments already of virtualized Hadoop clusters where the HDFS data is contained solely on the...

    https://www.kdnuggets.com/2015/12/myths-virtualizing-hadoop-vsphere-explained.html

  • KDnuggets™ News 17:n19, May 17: Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can’t Overlook

    ...illa Guide to Machine Learning with R 5 Machine Learning Projects You Can No Longer Overlook, May The Two Phases of Gradient Descent in Deep Learning HDFS vs. HBase: All you need to know Stanford Online Data Mining & Data Science Courses Cartoon: Mother Of All Data.    Tutorials,...

    https://www.kdnuggets.com/2017/n19.html

  • How Big Data Pieces, Technology, and Animals fit together

    ...es over a cluster of machines. Notably, the MapReduce model is not well suited to graph processing so Hadoop/MapReduce are avoided in this model, but HDFS/GFS is still used as a data store. Zookeeper is a coordination and synchronization service that a distributed set of computer make decisions by...

    https://www.kdnuggets.com/2015/02/how-big-data-pieces-technology-fit-together.html

  • Benchmarking Big Data SQL Platforms in the Cloud

    ...mpute, which adds elasticity and ease of management compared to local disks, as done in the Impala benchmark. In an earlier blog post comparing S3 vs HDFS, we came to the conclusion that S3 has a much lower total cost of ownership, while HDFS might have better performance on a per node basis. This...

    https://www.kdnuggets.com/2017/09/databricks-benchmarking-big-data-sql-platforms-cloud.html

  • Apache Spark Introduction for Beginners">Silver BlogApache Spark Introduction for Beginners

    ...11; Standalone – The arrangement implies Spark possesses the place on the top of HDFS(Hadoop Distributed File System) and space is allotted for HDFS, unequivocally. Here, Spark and MapReduce will run one next to the other to covering all in the form of Cluster. Hadoop Yarn – Hadoop Yarn...

    https://www.kdnuggets.com/2018/10/apache-spark-introduction-beginners.html

  • Things you should know when traveling via the Big Data Engineering hype-train

    ...o computing jobs. What are schedulers and what schedulers are available by default? What are queues? What is Hive? – It’s a SQL layer on top of HDFS. What is the connection between hive, hiveserver2, metastore and beeline. What is the difference between hive, pig and Impala? What are UDFs?...

    https://www.kdnuggets.com/2018/10/big-data-engineering-hype-train.html

  • MapR on Open Data Platform: Why we declined

    ...are gaining market share. Ambari is used by less than 25% of the market. Hadoop was architected to support plug-and-play alternative technologies to HDFS. HDFS was built to serve as secondary storage for batch Hadoop processing. Many production use cases requiring POSIX-compliant storage replace...

    https://www.kdnuggets.com/2015/04/mapr-open-data-platform-why-declined.html

  • 5 Big Data Projects You Can No Longer Overlook

    ...run MapReduce jobs on data in Google Cloud Storage by implementing the Hadoop FileSystem interface. Benefits of doing so include: Direct data access HDFS compatibility Interoperability Data accessibility No storage management overhead Quick startup This project fits a very particular niche, but if...

    https://www.kdnuggets.com/2016/07/five-big-data-projects-cant-overlook.html

  • Hadoop and Big Data: The Top 6 Questions Answered

    ...h my original answer of: no. What about Spark, does it replace Hadoop? Once again: No. Spark is an in-memory processing engine that can run on top of HDFS or stand-alone. As an in-memory engine, Spark is much faster than the traditional MapReduce approach. Spark can process data from HDFS, Hive,...

    https://www.kdnuggets.com/2016/01/hadoop-and-big-data-questions.html

  • The top 5 Big Data courses to help you break into the industry

    ...course is a course that is designed with the following objectives: To give you a thorough knowledge of the Big Data framework using Hadoop and Spark, HDFS, YARN, and MapReduce. To know how to use Pig, Hive, and Impala to work on data stored in HDFS. To know how to use Sqoop and Flume for data...

    https://www.kdnuggets.com/2016/08/simplilearn-5-big-data-courses.html

  • 75 Big Data Terms to Know to Make your Dad Proud

    ...xperience (Hue): Hue is an open-source interface which makes it easier to use Apache Hadoop. It is a web-based application and has a file browser for HDFS, a job designer for MapReduce, an Oozie Application for making coordinators and workflows, a Shell, an Impala and Hive UI, and a group of Hadoop...

    https://www.kdnuggets.com/2017/06/75-big-data-terms.html

  • Kohls: Manager, Big Data Customer Insights

    ...ta technologies like Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R. Experience working with commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR) Experience with Hadoop Cluster Administration   preferred Experience working as a Data Scientist...

    https://www.kdnuggets.com/jobs/15/09-01-kohls-manager-big-data-customer-insights.html

  • YARN is All the Rage at Hadoop Summit 2014

    ...ations to be deployed on existing Hadoop hardware without creating a separate cluster. Spark applications can then directly access Hadoop datasets on HDFS. In Spark-on-YARN, Spark applications are launched in either standalone mode, executing the Spark master in a YARN container, or in client mode...

    https://www.kdnuggets.com/2014/06/yarn-all-rage-hadoop-summit.html

  • Pivotal HD ODBMS Interview with Scott Yara and Florian Waas

    ...cable but if you need more, you get it in the same bundle. Q5. What is the rationale beyond introducing HAWQ, a relational database that runs atop of HDFS? Scott Yara, Florian Waas: Not quite. We’ve transplanted a modern distributed query engine onto HDFS. We stripped out a lot of...

    https://www.kdnuggets.com/2013/04/pivotal-hd-odbms-interview-with-scott-yara-florian-waas.html

  • KDnuggets Analytics, Data Mining, Data Science Software Poll – Analyzed

    ...IBM Cognos. The second group also correlated with tools that were part of larger platforms. Users of Pig, Mathematica , Mahout , Perl , Other Hadoop/HDFS-based tools , and Orange have used at least 8 tools (vs avg of 3.7). The largest number of commercial tool used was for users of free tools...

    https://www.kdnuggets.com/2014/06/analytics-data-mining-data-science-software-poll-analyzed.html

  • R and Hadoop make Machine Learning Possible for Everyone

    ...ing to transform it ahead of time. As with R, many open source projects were created to re-imagine the data platform. Starting with getting data into HDFS (sqoop, flume, kafka, etc.) to compute and streaming (Spark, YARN, MapReduce, Storm, etc.), to querying data (Hive, Pig, Stinger / Tez, Drill,...

    https://www.kdnuggets.com/2014/11/r-hadoop-make-machine-learning-possible-everyone.html

  • Strata + Hadoop World 2015 San Jose – Day 1 Highlights

    ...leverage existing Hadoop ecosystem components like Pig, Hive, HBase and Oozie to seamlessly share data across applications. They presented growth of HDFS in last 10 years within a nice infographic and shared that at present they run 42,300 servers and store about 600 PB of data. They briefly...

    https://www.kdnuggets.com/2015/03/strata-hadoop-2015-san-jose-highlights-day1.html

  • Strata + Hadoop World 2015 San Jose – report and highlights

    ...ything goes through Kafka. Third, Netflix uses an S3 bucket in front of an HDFS as they do not believe in being able to reliably pipe event data into HDFS directly. This also allows them to spin clusters up and down on demand or failure using Genie. Fourth, I really enjoyed How to use Parquet as a...

    https://www.kdnuggets.com/2015/02/strata-hadoop-world-san-jose-report.html

  • Data Science & Machine Learning Platforms for the Enterprise

    …scientist might need to run offline data on a model from S3, while a backend engineer is concurrently running production data on the same model from HDFS. A fixed data-source platform will require the author of the model to have implemented two data connectors: HDFS, S3. A interchangeable…

    https://www.kdnuggets.com/2017/05/data-science-machine-learning-platforms-enterprise.html

  • Top Stories, May 15-21: Getting Into Data Science: What You Need to Know; The Best Python Packages for Data Science

    ...opular Last Week Getting Into Data Science: What You Need to Know, by Susannah Bruck The Best Python Packages for Data Science, by The Data Incubator HDFS vs. HBase : All you need to know The 10 Algorithms Machine Learning Engineers Need to Know 10 Free Must-Read Books for Machine Learning and Data...

    https://www.kdnuggets.com/2017/05/top-news-week-0515-0521.html

  • R, Python Duel As Top Analytics, Data Science software – KDnuggets 2016 Software Poll Results

    ...0% +234% HBase 5.5% 4.6% +18.6% Apache Pig 4.6% 5.4% -16.1% Apache Mahout 2.6% 2.8% -7.2% Dato 2.4% 0.5% +338% Datameer 0.4% 0.9% -52.3% Other Hadoop/HDFS-based tools 4.9% 4.5% +7.5% Deep Learning Tools For the second year KDnuggets poll include Deep Learning Tools. This year, 18% of voters used...

    https://www.kdnuggets.com/2016/06/r-python-top-analytics-data-mining-data-science-software.html

  • Apache Spark Key Terms, Explained

    ...application. As well, Spark runs on a laptop, Apache Hadoop, Apache Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Apache Cassandra, Apache HBase, and S3. It was originally developed at UC Berkeley in 2009. (Note that Spark’s creator Matei Zaharia has since...

    https://www.kdnuggets.com/2016/06/spark-key-terms-explained.html

  • Evaluating HTAP Databases for Machine Learning Applications

    …partition without interfering with each other. This system uses native file-based storage on the Hadoop File System. Older systems stored raw data on HDFS but newer systems use Apache Parquet or ORC columnar formats. These columnar storage systems compress data and perform very well. Hive is a…

    https://www.kdnuggets.com/2016/11/evaluating-htap-databases-machine-learning-applications.html

  • Big Data: Main Developments in 2016 and Key Trends in 2017

    ...ielus, Big Data Evangelist, IBM Software Hadoop declined more rapidly in 2016 from the big-data landscape than I expected. MapReduce, HBase, and even HDFS are less relevant to data scientists than ever. The dominant 2017 trend will be programmers’ rush to gain data science skills in order to...

    https://www.kdnuggets.com/2016/12/big-data-main-developments-2016-key-trends-2017.html

  • Graph Analytics Using Big Data

    ...this scale of data and hence the usage of big data and big data system. So, what would we cover in this article Building graphs on big data stored in HDFS using graphframes on top of Apache Spark. Analyzing a real-world flights dataset using graphs on top of big data. GraphFrames To build graphs...

    https://www.kdnuggets.com/2017/12/graph-analytics-using-big-data.html

  • Learn how to use PySpark in under 5 minutes (Installation + Tutorial)

    ...autifully with the world of machine learning and graph analytics through supplementary packages like MLlib and GraphX. Spark is implemented on Hadoop/HDFS and written mostly in Scala, a functional programming language.However, for most beginners, Scala is not a great first language to learn when...

    https://www.kdnuggets.com/2019/08/learn-pyspark-installation-tutorial.html

  • Platinum BlogEverything a Data Scientist Should Know About Data Management">Silver BlogPlatinum BlogEverything a Data Scientist Should Know About Data Management

    ...ource: Business Analytic 3.0). When you think Hadoop, think “distribution.” Hadoop consists of three main components: Hadoop Distributed File System (HDFS), a way to store and keep track of your data across multiple (distributed) physical hard drives; MapReduce, a framework for processing data...

    https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

  • Virginia Tech: Data Engineer [Blacksburg, VA]

    ...ting, and analyzing data using Python, Spark, SQL Hands on experience with AWS services – Kinesis, S3, Glue, Lambda, Cloudformation, RDS, EC2, EMR or HDFS, Hadoop Yarn, Hbase, Hive, Pig Hands on experience in ELT/ETL and dimensional data modeling Proficiency in Python and at least one SQL language...

    https://www.kdnuggets.com/jobs/19/05-06-virginia-tech-data-engineer.html

  • Practical Apache Spark in 10 Minutes

    ...m ETL, interactive queries (SQL), advanced analytics (e.g., machine learning) and streaming over large datasets in a wide range of data stores (e.g., HDFS, Cassandra, HBase, S3). Spark supports a variety of popular development languages including Java, Python, and Scala.   Part 1 –...

    https://www.kdnuggets.com/2019/01/practical-apache-spark-10-minutes.html

  • How (& Why) Data Scientists and Data Engineers Should Share a Platform

    ...angling processes, while the Data Science team predominantly prefers R. Using our software, they deployed a single cloud platform, with a centralized HDFS data store, fast Spark processing engines and support for both Python and R, as well a variety of other languages to boot (SQL, Java, Scala,...

    https://www.kdnuggets.com/2017/11/cazena-data-scientists-data-engineers-should-share-platform.html

  • Webinar: High Performance Hadoop With Python, May 5th

    ...on High Performance Hadoop with Python. In this webinar, you’ll learn to: Analyze NYC taxi data through distributed DataFrames on a cluster on HDFS Create interactive distributed visualizations of global temperature data Distribute in-memory natural language processing and interactive...

    https://www.kdnuggets.com/2016/04/webinar-high-performance-hadoop-python.html

  • Apache Flink: The Next Distributed Data Processing Revolution?">Silver Blog, Jul 2017Apache Flink: The Next Distributed Data Processing Revolution?

    …as released (version 1.0.0). The Hadoop framework is capable of storing a large amount of data on a cluster. This is known as the Hadoop File System (HDFS) and it is used at almost every company which has the burden to store Terabytes of data every day. Then the next problem arose: how can…

    https://www.kdnuggets.com/2017/07/apache-flink-distributed-data-processing-revolution.html

  • Simplifying Data Pipelines in Hadoop: Overcoming the Growing Pains

    ..., or sometimes custom written executables. Some SQL statements are used to create tables, others are supposed to load tables from either files from a HDFS/regular filesystem, or from other SQL tables. Other SQL statements select data out of existing tables. Custom written executables are used to in...

    https://www.kdnuggets.com/2017/05/simplify-data-pipelines-hadoop.html

  • Big Data BootCamp Santa Clara: Highlights of talks on Days 1-2

    ...ifferences between these technologies and motivation behind this evolution. Introducing HBase as distributed column oriented database built on top of HDFS, he explained the HBase Data Model – Row Keys, Columns, Cells. After briefly explaining Data Storage and Cell Versioning, he stated that HBase...

    https://www.kdnuggets.com/2014/05/big-data-bootcamp-santa-clara-talks-day-1-2.html

  • Interview: George Corugedo, CTO, RedPoint on YARN and Customer Analytics

    ...“pure YARN” enables is the porting of mature, enterprise-class technologies directly onto the Hadoop platform, allowing them to work directly at the HDFS level within Hadoop. Without YARN, technologies would be constrained to using or generating MapReduce code with all of its associated...

    https://www.kdnuggets.com/2014/05/interview-george-corugedo-yarn-analytics.html

  • Data Mining / Analytic Publications News, Jan 2013

    ...are getting disillusioned. Top KDnuggets tweets, Jan 21-23: Free BigData education, Coursera “pseudo-degree”; What is Hadoop, MapReduce, HDFS – Jan 24, 2013. Free #BigData education, including Coursera “pseudo-degree” program for Data Science ; Free #BigData...

    https://www.kdnuggets.com/2013/01/publications-news.html

  • SDSC: Supercomputer Data Mining in San Diego

    ...“traditional” Hadoop cluster, the SDSC Gordon Compute cluster is ideally suited to running Hadoop as well, with fast SSD drives enabling HDFS performance and the high speed Infiniband interconnect to provide scalability. Hadoop can be set up on Gordon in two ways 1) using the myHadoop...

    https://www.kdnuggets.com/2013/09/sdsc-supercomputer-data-mining-san-diego.html

  • Top Big Data Processing Frameworks

    ...with Big Data. But you already know about Hadoop, and MapReduce, and its ecosystem of tools and technologies including Pig, and Hive, and Flume, and HDFS. And all the others. Hadoop was first out of the gate, and enjoyed (and still does enjoy) widespread adoption in industry. So why would you...

    https://www.kdnuggets.com/2016/03/top-big-data-processing-frameworks.html

  • KDnuggets™ News 13:n02, Jan 30

    ...on for R packages at Github Top KDnuggets tweets, Jan 21-23: Free BigData education, Coursera “pseudo-degree”; What is Hadoop, MapReduce, HDFS – Jan 24, 2013. Free #BigData education, including Coursera “pseudo-degree” program for Data Science ; Free #BigData...

    https://www.kdnuggets.com/2013/n02.html

  • 18 essential Hadoop tools

    ...here is a list of 18 of the most essential: Apache Hadoop, the official distribution. Apache Ambari, a software package for managing Hadoop clusters HDFS (Hadoop Distributed File System), the basic framework for splitting data across a cluster underpinning Hadoop. Apache HBase, a table-oriented...

    https://www.kdnuggets.com/2014/08/18-essential-hadoop-tools.html

  • Data Scientist, Design Graph

    ...n systems related to design information and design processes We have a broad set of technologies with which the Data Scientist will interface: Hadoop/HDFS; Shark/Spark; Splunk; MongoDb, and numerous charting, graphing and analysis applications such as: Gephi, Google Charts, etc. Successful outcomes...

    https://www.kdnuggets.com/jobs/13/03-23-autodesk-data-scientist-b.html

  • Big Data and Hadoop, Big Data Boot Camp LA

    ...ibed scaling and access time for various database technologies. Talking about Hadoop ecosystem, Mr. Maniyam briefly described following technologies: HDFS – Provides distributed storage Map Reduce – Provides distributed computing Pig – High level Map-Reduce Hive – SQL layer over Hadoop HBase –...

    https://www.kdnuggets.com/2014/10/big-data-hadoop-boot-camp-los-angeles.html

  • Spark and the Remorseless Recrystallization of the Open Source Analytics Ecosystem

    …ctive codebases, which are widely adopted in many big-data analytics initiatives now. What joins Spark to Hadoop are that fact that they both include HDFS, HBase, Hive, Ambari, Mahout, Pig, and Cassandra as key components of their respective ecosystems. How do they differ? Unlike Spark, Hadoop also…

    https://www.kdnuggets.com/2016/01/spark-crystallization-open-source-analytics-ecosystem.html

  • A Community Event for Innovative Spark Apps: A Datapalooza Dispatch

    ...e. It enables processing and analysis of massive amounts of genome data. It runs on IBM Bluemix and Spark in the Softlayer cloud, running on YARN and HDFS, with programming in Data Scientist Workbench, R, and RStudio. The contacts for this app are Eric Li, Connie Lam, and Xiaoyang Gao.  ...

    https://www.kdnuggets.com/2015/11/datapalooza-dispatch-kobielus.html

  • Kohls: Big Data Customer Insights Analyst

    ...NSIBILITIES Design and implementation of data ingestion techniques for real time and batch processes for data into Hadoop (or similar) ecosystems and HDFS clusters Manage resources, including people and tools to deliver insight to business owners Drives operational excellence through...

    https://www.kdnuggets.com/jobs/15/09-01-kohls-big-data-customer-insights-analyst.html

  • R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites

    ...e Hadoop, 18.4% share (507 votes) Spark, 11.3% (311) Hive, 10.2% (282) SQL on Hadoop tools, 7.2% (198) Pig, 5.4% (150) HBase, 4.6% (127) Other Hadoop/HDFS-based tools, 4.5% (125) MLlib, 3.3% (91) Mahout, 2.8% (76) Datameer, 0.8% (23)   Deep Learning Tools New this year was a category of Deep...

    https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html

  • Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started

    ...d co-founder Cliff Click, who is known for his contributions to the fast Java HotSpot compiler. H2O is designed to process large datasets (e.g., from HDFS, S3 or NFS) at FORTRAN speeds using a highly efficient (fine-grain) in-memory implementation of the famous Mapreduce paradigm with built-in...

    https://www.kdnuggets.com/2015/01/interview-arno-candel-0xdata-deep-learning.html

  • KDnuggets Interview: Paul Zikopoulos, IBM on Big Data Opportunities and Challenges

    ...t thing that IBM does to distinguish itself from others are the following. First, we don’t just talk about analytics for data at rest (be it in HDFS or RDBMS, or both) but we talk about taking the harvested insights there and getting the focus to analytics on data in motion. Second,...

    https://www.kdnuggets.com/2014/12/interview-paul-zikopoulos-ibm-big-data-challenges.html

  • Swisscom: Data Scientist

    ...uch as R, Weka, Matlab, SAS, Tableau, etc. Track record in solving business issues with advanced methods Knowledge of networks (e.g. TCP/IP), Hadoop, HDFS or MapReduce is a plus Pro-active and solution-driven team player with a can-do mind set   We intend to fill this position without...

    https://www.kdnuggets.com/jobs/14/07-22-swisscom-data-scientist.html

  • Interview: Taylor Phillips, Square on Why Finance Needs Machine Learning and Data Science

    ...1; Focuses on obtaining and maintaining the data in a variety of usable forms. They own the data pipelines (e.g. Kafka, Flume) and data storage (e.g. HDFS, MySQL). Data Science Engineer – Implements the features and models and makes them go live in production. These are the unicorns who...

    https://www.kdnuggets.com/2014/08/interview-taylor-phillips-square-finance-machine-learning.html

  • GraphLab Create: large-scale machine learning platform for graph, structured, and text data

    ...hine and move to production with the same code GraphLab data visualization capabilities simplify data exploration GraphLab is integrated with Hadoop (HDFS), is Cloudera certified, and is available as part of Pivotal HD Hadoop distribution platform   GraphLab Create 1.0 will be available on...

    https://www.kdnuggets.com/2014/07/graphlab-create-large-scale-machine-learning-platform.html

  • Health Integrated: Big Data DevOps Engineer

    ...and support including design, capacity planning, cluster set up, performance tuning and monitoring Strong understanding of Hadoop eco system such as HDFS, MapReduce, HBase, Zookeeper, Pig, Hadoop streaming, Sqoop, oozie and hive Experience in administering, and supporting Linux operating systems...

    https://www.kdnuggets.com/jobs/14/09-18-healthintegrated-big-data-devops-engineer.html

  • Upcoming Webcasts on Analytics, Big Data, Data Science – May 26 and beyond

    ...r “projects”, A Research Opportunity from the Wharton Customer Analytics Initiative. May 28 10 am PT1 pm ET Apache Hadoop 2.4.0, YARN and HDFS, By Hortonworks. May 29 10 am PT1 pm ET Best Practices for the Hadoop Data Warehouse: EDW 101 for Hadoop Professionals, by Cloudera. May 29 10...

    https://www.kdnuggets.com/2014/05/upcoming-webcasts-may26-analytics-big-data-science.html

  • MassMutual: Data Engineer

    ...ructures. 3+ years of data modeling and administration of NoSQL and SQL databases. 3+ years of experience with at least one these: Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Spark, Vertica, SQL, data warehouses. (Certifications in one or more of the above tools preferred) Familiarity with...

    https://www.kdnuggets.com/jobs/14/10-30-massmutual-data-engineer.html

  • Upcoming Webcasts on Analytics, Big Data, Data Science – May 19 and beyond

    ...r “projects”, A Research Opportunity from the Wharton Customer Analytics Initiative. May 28 10 am PT1 pm ET Apache Hadoop 2.4.0, YARN and HDFS, By Hortonworks. May 29 10 am PT1 pm ET Best Practices for the Hadoop Data Warehouse: EDW 101 for Hadoop Professionals, by Cloudera. Jun 10 1 pm...

    https://www.kdnuggets.com/2014/05/upcoming-webcasts-may19-analytics-big-data-science.html

  • KDnuggets 15th Annual Analytics, Data Mining, Data Science Software Poll: RapidMiner Continues To Lead

    ...er free analytics/data mining tools (168), 1.8% alone 5.1% 3.4% Rattle (161), 0% alone 4.9% 4.5% BayesiaLab (136), 23.5% alone 4.1% 1.0% Other Hadoop/HDFS-based tools (129), 0% alone 3.9% na Gnu Octave (128), 0% alone 3.9% 2.9% JMP (125), 3.2% alone 3.8% 4.1% KXEN (now part of SAP) (125), 0% alone...

    https://www.kdnuggets.com/2014/06/kdnuggets-annual-software-poll-rapidminer-continues-lead.html

  • CRN 25 Big Data Management Companies

    ...anagement products. Redwood City, CA. Founded 1993. JethroData develops an index-based SQL engine for Hadoop that it says combines the scalability of HDFS (the Hadoop file system) with the power of a fully indexed columnar analytical database. Natanya, Israel. Founded 2012. MarkLogic‘s...

    https://www.kdnuggets.com/2014/06/crn-25-big-data-management-companies.html

  • CRN 50 Emerging Big Data Vendors

    ...prise data processing. Palo Alto, CA. Founded 2011. JethroData develops an index-based SQL engine for Hadoop that it says combines the scalability of HDFS (the Hadoop file system) with the power of a fully indexed columnar analytical database. Natanya, Israel. Founded 2012. Jut is a company that...

    https://www.kdnuggets.com/2014/06/crn-50-emerging-big-data-vendors.html

  • KDnuggets™ News 15:n07, Mar 4: Analytics/Data Science Salaries; Machine Learning Flaws; Strata Highlights

    ...+ Hadoop World San Jose, including Apache Spark vs Storm vs Samza for streaming data, Kafka as a universal message bus, what Netflix puts in front of HDFS, Parquet as a basis for ETL and analytics, DJ Patil, Internet of Things, and more.    News  (see also All News ) Top stories...

    https://www.kdnuggets.com/2015/n07.html

  • KDnuggets™ News 15:n05, Feb 11: Annual Salary Poll; 10 things statistics teaches about Big Data; Data Science Jargon

    ...applications. How Big Data Pieces, Technology, and Animals fit together – Feb 5, 2015. How Big Data Pieces and animals fit together: MapReduce, HDFS, Apache Spark,, Pregel, Zookeeper, Flume, Hive, Pig, and more, explained by a Quora (and past Facebook) Data Scientist.   ...

    https://www.kdnuggets.com/2015/n05.html

  • Poll Results: Data Types/Sources Analyzed

    ...nk (score) Microsoft SQL Server (84) 31.8% 3 (1208) Oracle (65) 24.6% 1 (1503) MySQL (60) 22.7% 2 (1309) another database engine (41) 15.5% na Hadoop/HDFS (34) 12.9% na Microsoft Access (31) 11.7% 7 (145) PostgreSQL (25) 9.5% 4 (241) DB2 (19) 7.2% 6 (186) MongoDB (13) 4.9% 5 (225) We note that...

    https://www.kdnuggets.com/2014/05/poll-results-data-types-sources-analyzed.html

  • Big Data Developer Conference, Santa Clara: Day 1 Highlights

    ...categories along with their typical use cases. Next, he discussed two key aspects of Hadoop: MapReduce framework and Hadoop Distributed File System (HDFS). He described lambda architecture and Apache Flink in details to help audience understand its critical utility. He concluded by mentioning...

    https://www.kdnuggets.com/2015/04/big-data-developer-conference-highlights-day1.html

  • Hadoop as a Service: 18 Cloud Options

    ...p, you can perform MapReduce jobs directly on data in Google Cloud Storage, without copying to local disk and running Hadoop Distributed File System (HDFS). HP Cloud provides an elastic cloud computing and cloud storage platform to analyze and index large data volumes in the hundreds of petabytes...

    https://www.kdnuggets.com/2015/04/hadoop-as-service-18-cloud-options.html

  • IE Masters in Analytics and Big Data – first hand report

    ...n depth coverage of business (telecom and utilities, finance, marketing etc.) and technical components including big data technologies such as spark, HDFS etc. There is a lot of emphasis on working in teams, development of business communication skills with a special focus on problem solving using...

    https://www.kdnuggets.com/2015/01/ie-data-science-education-first-hand-report.html

  • Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems

    ...could concisely express networking protocols. My colleagues and I then set out to implement a large-scale distributed application — the Hadoop/HDFS stack — in Overlog. The project validated our hypothesis that data-centric languages were a good fit for programming implementing...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-distributed-systems.html

  • KDnuggets Interview: Paul Zikopoulos, IBM on Why Big Data needs Polyglots

    ...: This is a broad topic, so let me narrow it on Hadoop. Enterprises are running with scissors. Look, I don’t care if the data resides in RDBMS, HDFS, or Microsoft Access, Personally Identifiable Data (PII) is PII data. So treat your BigData the same way you treated sensitive data before...

    https://www.kdnuggets.com/2014/12/interview-paul-zikopoulos-ibm-big-data-polygots.html

  • 16 NoSQL, NewSQL Databases To Watch

    ...tabase service arrived in 2012. It has been a big hit, but database services have since proliferated. HBase is the NoSQL database that runs on top of HDFS, so it gives users the unique ability to work directly with the data stored on Hadoop. Features include massive scalability (as used in...

    https://www.kdnuggets.com/2014/12/16-nosql-newsql-databases-to-watch.html

  • Open Source Tools for Machine Learning

    ...s processes — fraud or trend predictions, for instance — rather than, say, image analysis. H2O can interact in a stand-alone fashion with HDFS stores, on top of YARN, in MapReduce, or directly in an Amazon EC2 instance. Github: github.com/h2oai/h2o Mahout The Mahout framework has long...

    https://www.kdnuggets.com/2014/12/open-source-tools-machine-learning.html

  • AnalyticsStreet Panel Report: Frontiers and Dangers of Analytics and Big Data

    ...amb: Raw data storage / retrieval (Structured): HP/Vertica (I am biased), Redshift (cloud) Raw data storage / retrieval (“Unstructured”): HDFS (Hortonworks/Cloudera) Data preparation / curation: I love Tamr, but it is a hard thing to do   Q3: What are the most significant risks to...

    https://www.kdnuggets.com/2014/11/analyticsstreet-startup-panel-frontiers-dangers-analytics.html

  • Strata 2014 Santa Clara: Highlights of Day 2 (Feb 12)

    ...hms in a simple way and scale them to massive datasets Presto – Distributed SQL query engine optimized for ad-hoc analysis at interactive speed HDFS and Data Pipelines Talking about data lifecycles, she categorized data as hot data, warm data and cold data. She explained how her team improved...

    https://www.kdnuggets.com/2014/02/strata-2014-santa-clara-highlights-day2.html

  • Ajaila: Ruby package for Predictive Analysis

    ...ormat and build the required data models. Additionally, you can visualize your data with Protovis / Highcharts.js and scale your service with Hadoop (HDFS). During your work the application is provided with usefull snippets and generators. Ajaila can be easily extended with common Machine Learning...

    https://www.kdnuggets.com/2013/03/ajaila-ruby-package-for-predictive-analysis.html

  • RapidMiner 6 adds application wizards, better visualization, ease of use

    ...es, and support, priced at $2,999; and Pricing for Enterprise Edition, with access to unlimited memory, access to all files and databases, (including HDFS, SAP, SAS, and SPSS), and full support, is available on request. The same tiers also exist for RapidMiner Server v6.0, available now. For more...

    https://www.kdnuggets.com/2013/11/rapidminer-6-adds-wizards-visualization-ease-use.html

  • Principal Data Scientist

    ...ity Strong Programming skills in C/C++ or Java Experience with large scale distributed programming paradigms – experience with the Hadoop stack(HDFS/MR/Pig/Hive) a plus Experience with R/SAS/SPSS Experience with SQL and MPP databases Excellent written and verbal communication and skills...

    https://www.kdnuggets.com/jobs/13/02-26-ea-principal-data-scientist-b.html

  • Principal Data Scientist

    ...ity Strong Programming skills in C/C++ or Java Experience with large scale distributed programming paradigms – experience with the Hadoop stack(HDFS/MR/Pig/Hive) a plus Experience with R/SAS/SPSS Experience with SQL and MPP databases Excellent written and verbal communication and skills...

    https://www.kdnuggets.com/jobs/13/01-09-ea-principal-data-scientist.html

  • 10 Big Data Startups at Strata

    ...ovides indexing and real-time search capabilities for searching semi-structured or mix-structured data stores in Amazon S3 of the Hadoop File System (HDFS). Stopped.at, Mara Lewis, Co-Founder and CEO Stopped.at is a big data startup that melds analytics with social media to make your Web browsing...

    https://www.kdnuggets.com/2013/03/10-big-data-startups-at-strata.html

  • Strata Conference Reports and Highlights

    .... He actually called Spark a third-generation machine learning tool. “Excel Big Data” demo from Microsoft has point-and-click querying of HDFS that translates into Map/Reduce. Once the data was populated in the spreadsheet, it looked like you were just left to your own regular Excel...

    https://www.kdnuggets.com/2013/03/strata-conference-reports-highlights.html

  • Big Data Techcon Boston: Hadoop is not dead yet

    ...tended tutorials and classes during the day covered Apache Cassandra, Machine Learning, Hadoop, Cassandra, NoSQL, Apache Hive, Hadoop, Map/Reduce and HDFS, Data Visualization, ZooKeeper, Data Modeling and Relational Analysis in a NoSQL World, Distributed Search and Real Time Analytics, Structured...

    https://www.kdnuggets.com/2013/04/big-data-techcon-hadoop-is-not-dead-yet.html

  • Meetup/Webcast Apr 23: Shark Data Analytics Stack on a Hadoop Cluster

    ...o 100 times considering its ability to perform computations in memory. It is a computation engine built on top of the Hadoop Distributed File System (HDFS) that efficiently support iterative processing (e.g., ML algorithms), and interactive queries. Shark is a large-scale data warehouse system that...

    https://www.kdnuggets.com/2013/04/meetup-webcast-apr-23-shark-data-analytics-stack-on-a-hadoop-cluster.html

  • Data Scientist

    ...ta assets Profile First of all we are looking for passionate, pro-active and solution driven Software Developers with: Experience with Hadoop – HDFS, MapReduce, Hive, Pig, Mahout, Sqoop and related technologies Java expertise combined with Python or other scripting languages Deep knowledge of...

    https://www.kdnuggets.com/jobs/13/05-22-swisscom-senior-software-engineer-big-data.html

  • My report: IE Big Data Innovation Summit, Boston – Day 1

    ...memory DB is used today. Streaming data will REQUIRE in-memory computing tomorrow Hadoop clusters can get 10x faster with in-memory implementation of HDFS Big Data Innovations and Applications at NASA, by Nikunj Oza Current “exceedance” anomaly detection in aviation checks variables...

    https://www.kdnuggets.com/2013/09/my-report-ie-big-data-innovation-summit-boston-day-1.html

  • Senior Software Engineer – Analytics

    ...scripting languages such as Python and Javascript 3+ years of experience using distributed computing frameworks and tools such as Hadoop, MapReduce, HDFS, Hive, and , MongoDB,. Demonstrated success in building web services and developing RESTful APIs. Experience in working with data scientists is...

    https://www.kdnuggets.com/jobs/13/11-19-bosch-senior-software-engineer-analytics.html

  • Apache Spark, the hot new trend in Big Data

    ...alized what all of the fuss was about when landed on the Berkeley AMPLab. Spark is new technology that sits on top of Hadoop Distributed File System (HDFS) that is characterized as “a fast and general engine for large-scale data processing.” Spark has three key features that make it the most...

    https://www.kdnuggets.com/2014/04/apache-spark-hot-new-trend-big-data.html

  • Apple: iAd – Senior Software Engineer

    ...tecture, algorithms). Designing and implementing systems to process Terabytes to Petabytes of data using Hadoop. Extensive experience with MapReduce, HDFS, Hive, HBase Or Cassandra. Experience with Oracle 10g, 11g databases. Python and Bash Scripting Experience is a plus. Experience with Analytical...

    https://www.kdnuggets.com/jobs/14/04-20-apple-iad-senior-software-engineer.html

  • Upcoming Webcasts on Analytics, Big Data, Data Science – May 5 and beyond

    ...T Can Hadoop Coexist Peacefully with a Legacy Data Warehouse?, by DataInformed. May 28 9 am PTnoon ET Using purchase history to identify customer “projects”, A Research Opportunity from the Wharton Customer Analytics Initiative. May 28 10 am PT1 pm ET Apache Hadoop 2.4.0, YARN and HDFS,...

    https://www.kdnuggets.com/2014/05/upcoming-webcasts-may5-analytics-big-data-science.html

  • Upcoming Webcasts on Analytics, Big Data, Data Science – May 12 and beyond

    ...r “projects”, A Research Opportunity from the Wharton Customer Analytics Initiative. May 28 10 am PT1 pm ET Apache Hadoop 2.4.0, YARN and HDFS, By Hortonworks. May 29 10 am PT1 pm ET Best Practices for the Hadoop Data Warehouse: EDW 101 for Hadoop Professionals, by Cloudera. June 11 10...

    https://www.kdnuggets.com/2014/05/upcoming-webcasts-may12-analytics-big-data-science.html

  • Top KDnuggets tweets, Apr 11-13: Influential Data Scientists on Twitter; Data Analytics Handbook – free download

    ...ittle tool – Javascript JSON to CSV Converter – works in a browser buff.ly/1et2xxg #Hadoop 101: The Most Important Terms, Explained, from HDFS to YARN buff.ly/1hqnDLZ Facebook News Feed Visibility Formula and why Facebook Page reach is decreasing buff.ly/1i8Xyky From #BigData to just...

    https://www.kdnuggets.com/2014/04/top-tweets-apr11-13.html

  • AT&T: Lead Product Development Mgr, Big Data Algorithms and Insights

    ...he inconceivable Motivation to collaborate with a diverse, innovative team Working with Big Data technologies MAPR, PIG, MAHOUT, CHUKWA, FLUME, HBASE/HDFS/Cassandra, SQIVE, HOOP (for semi-structured, unstructured content) Hadoop stack-modeling, collection, development, file structure, and data...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-mgr-big-data-algorithms-insights.html

  • Online Courses in Predictive Analytics, Machine Learning, Data Science from Statistics.com

    ...28 – Apr 25 Oct 31- Nov 28 Introduction to Analytics using Hadoop. (4 weeks, online) Hands-on: set up your own Hadoop development environment. HDFS, MapReduce, data flow, functional programming with Mappers and Reducers, Hadoop streaming. Mar 28 – Apr 25 Sep 12 – Oct 10...

    https://www.kdnuggets.com/2014/01/online-courses-predictive-analytics-machine-learning-data-science-statisticscom.html

  • Method3: Experienced Big Data Software Engineer

    ...ins such as product development, marketing research, pricing, public policy, optimization, and risk management. Interface with databases (SQL, NoSQL, HDFS) to extract, transform and load data. Implement algorithms and software needed to perform analyses. Process data in large-scale environments, in...

    https://www.kdnuggets.com/jobs/14/02-27-method3-experienced-big-data-software-engineer.html

  • AT&T: Lead Product Development Engineer Big Data CIP IT Systems

    ...uct development, QA, testing, and product deployment in big data platforms Working with Big Data technologies MAPR, PIG, MAHOUT, CHUKWA, FLUME, HBASE/HDFS/Cassandra, SQIVE, HOOP (for semi-structured, unstructured content) Hadoop stack-modeling, collection, development, file structure, and data...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-engineer-big-data-cip-it-systems.html

  • Interview: George Corugedo, CTO, RedPoint on Big Data Trends and Important Skills

    ...of the benefits listed above. That is one of the reasons YARN is so important. YARN will enable later generation applications to work directly within HDFS and bypass the coding requirements that exist today. The other challenge to Big Data technology adoption is the Wild West mentality. While...

    https://www.kdnuggets.com/2014/05/interview-george-corugedo-trends-skills.html

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