Search results for s3

    Found 100 documents, 10623 searched:

  • Data Version Control: iterative machine learning

    …n action: $ mkdir myrepo $ cd myrepo $ mkdir code $ wget -nv -P code/ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/featurization.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/evaluate.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/train_model.py \…

    https://www.kdnuggets.com/2017/05/data-version-control-iterative-machine-learning.html

  • Benchmarking Big Data SQL Platforms in the Cloud

    ...and compute, 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....

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

  • IoT on AWS: Machine Learning Models and Dashboards from Sensor Data

    ...ne from DynamoDB to S3 to be used by QuickSight: It is also needed to create a JSON file and set up IAM permissions so that Quick Sight can read from S3 bucket: { "fileLocations": [ { "URIs": [ "https://s3.amazonaws.com/your-bucket/2018-05-19-19-41-16/12345-c2712345-12345" ] }, { "URIPrefixes": [...

    https://www.kdnuggets.com/2018/06/zimbres-iot-aws-machine-learning-dashboard.html

  • Training with Keras-MXNet on Amazon SageMaker

    ...name (‘train’) and we make it executable. For more flexibility, we could write a generic launcher that would fetch the actual training script from an S3 location passed as an hyper parameter. This is left as an exercise for the reader ;) the Keras configuration file to /root/.keras/keras.json....

    https://www.kdnuggets.com/2018/09/training-keras-mxnet-amazon-sagemaker.html

  • Schema Evolution in Data Lakes

    ...and schemas. In our case, this data catalog is managed by Glue, which uses a set of predefined crawlers to read through samples of the data stored on S3 to infer a schema for the data. Athena then attempts to use this schema when reading the data stored on S3. In our initial experiments with these...

    https://www.kdnuggets.com/2020/01/schema-evolution-data-lakes.html

  • 10 Python String Processing Tips & Tricks

    ...ections module. from collections import Counter def is_anagram(s1, s2): return Counter(s1) == Counter(s2) s1 = 'listen' s2 = 'silent' s3 = 'runner' s4 = 'neuron' print('\'listen\' is an anagram of \'silent\' -> {}'.format(is_anagram(s1,...

    https://www.kdnuggets.com/2020/01/python-string-processing-primer.html

  • Cookiecutter Data Science: How to Organize Your Data Science Project">Gold BlogCookiecutter Data Science: How to Organize Your Data Science Project

    ...arns if files are over 50MB and rejects files over 100MB. Some other options for storing/syncing large data include AWS S3 with a syncing tool (e.g., s3cmd), Git Large File Storage, Git Annex, and dat. Currently by default, we ask for an S3 bucket and use AWS CLI to sync data in the data folder...

    https://www.kdnuggets.com/2018/07/cookiecutter-data-science-organize-data-project.html

  • Deploying a pretrained GPT-2 model on AWS

    ...om_pretrained, you need to provide the name of the model you intend to load. gpt2 in our case. Huggingface takes care of downloading the needful from S3. If you want to persist those files (as we do) you have to invoke save_pretrained (lines 78-79) with a path of choice, and the method will do what...

    https://www.kdnuggets.com/2019/12/deploying-pretrained-gpt-2-model-aws.html

  • 7 Super Simple Steps From Idea To Successful Data Science Project

    ...tomate as much as possible. You need to be able to concentrate on the further development and not on system operation. Automate how to upload data to S3, stop starting the analytics by hand and write an automation script. Start the analysis automatically and no longer by hand. Connect the download...

    https://www.kdnuggets.com/2017/11/7-super-simple-steps-idea-successful-data-science-project.html

  • Deploy your PyTorch model to Production

    ...t Choripan', 'Choripan'] ​ # set your data directory data_dir = 'data' ​ # set the URL where you can download your model weights MODEL_URL = 'https://s3.amazonaws.com/nicolas-dataset/stage1.pth' # example weights ​ # set some deployment settings PORT = 8080 We can now go through the...

    https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html

  • Choosing Between Modern Data Warehouses

    ...ens of petabytes in storage seamlessly, without paying the penalty of attaching much more expensive computing resources. Snowflake is built on Amazon S3 cloud storage and its storage layer holds all the diverse data, tables, and query results. Because this storage layer is engineered to scale...

    https://www.kdnuggets.com/2018/06/choosing-between-modern-data-warehouses.html

  • Presto for Data Scientists – SQL on anything

    ...and rows, it is possible to create a Presto connector.   In fact, Presto is available with a large number of existing connectors including HDFS, S3, Cassandra, Accumulo, MongoDB, MySQL, PostgreSQL and other data stores. What’s more, inside a single installation of Presto users can register...

    https://www.kdnuggets.com/2018/04/presto-data-scientists-sql.html

  • Virginia Tech: Data Engineer [Blacksburg, VA]

    ...rience in extracting, processing, curating, integrating, 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...

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

  • Extracting Knowledge from Knowledge Graphs Using Facebook’s Pytorch-BigGraph

    ...ling to capture homophily and depth-first sampling to capture structural equivalence. As we can see, the node (u) acts as a hub within a group (s1,s2,s3,s4), which is similar to s6 being a hub for (s7,s5,s8,s9). We discover the (s1,s2,s3,s4) community by BFS and (u)<->(s6) similarity by doing...

    https://www.kdnuggets.com/2019/05/extracting-knowledge-graphs-facebook-pytorch-biggraph.html

  • Audio File Processing: ECG Audio Using Python

    ...dclavicular line. The different types of heart sounds are as follows : S1 — onset of the ventricular contraction S2 — closure of the semilunar valves S3 — ventricular gallop S4 — atrial gallop EC — Systolic ejection click MC — Mid-systolic click OS — Diastolic sound or opening snap Murmurs...

    https://www.kdnuggets.com/2020/02/audio-file-processing-ecg-audio-python.html

  • An Overview of Python’s Datatable package

    ...ith pip: pip install datatable On Linux, installation is achieved with a binary distribution as follows: # If you have Python 3.5 pip install https://s3.amazonaws.com/h2o-release/datatable/stable/datatable-0.8.0/datatable-0.8.0-cp35-cp35m-linux_x86_64.whl# If you have Python 3.6 pip install...

    https://www.kdnuggets.com/2019/08/overview-python-datatable-package.html

  • Ingram Micro: Data Architect

    ...services: acquire, cleanse, merge, validate, visualize and data mine Technical experience with Cloud Infrastructure Knowledge of AWS Data Stack using S3, EMR, Data Pipeline Data warehousing management, database optimization, and administration experience Implementation of the SLDC –...

    https://www.kdnuggets.com/jobs/17/12-19-ingram-micro-data-infrastructure-architect.html

  • Comparison of the Most Useful Text Processing APIs">Silver BlogComparison of the Most Useful Text Processing APIs

    ...in the document are shown. A negative feature here is that if you want to perform topic modeling, you should have all your documents stored in Amazon S3. Free Tier program is available up to 12 months. Here you pay just for those things you are using and only in the amounts required. Thus, Amazon...

    https://www.kdnuggets.com/2018/08/comparison-most-useful-text-processing-apis.html

  • Crushed it! Landing a data science job

    …By Erin Shellman. After two amazing years with the Nordstrom Data Lab, I’ve accepted a research scientist position at Amazon Web Services to work on S3. I’m excited to begin a new chapter of my career, and relieved that the interview process is over because it’s grueling and time-consuming….

    https://www.kdnuggets.com/2015/10/erin-shellman-landing-data-science-job.html

  • Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools

    ...e, you can find many of our other Big Data tools on Github, such as Inviso (a central dashboard to visualize cluster load and debug job performance), S3mper (an S3 consistency monitor), Lipstick (a visual interface for Pig which we utilize extensively for sharing and analyzing data about these...

    https://www.kdnuggets.com/2015/06/interview-joseph-babcock-netflix-in-house-developed-tools.html

  • Guide to Data Science Cheat Sheets

    ...cheat sheets in comments below. Cheat Sheets for Python Python www.astro.up.pt/~sousasag/Python_For_Astronomers/Python_qr.pdf NumPy, SciPy and Pandas s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf Cheat Sheets for R Short Reference Card...

    https://www.kdnuggets.com/2014/05/guide-to-data-science-cheat-sheets.html

  • Big Data: Main Developments in 2017 and Key Trends in 2018">Silver BlogBig Data: Main Developments in 2017 and Key Trends in 2018

    ...asticity and management capabilities. For example, per-second billing and serverless computing enables truly elastic computation, while services like S3 Select enable fundamentally new ways of querying data. Neither of these has an equivalent on-premise. I expect to see cloud data management...

    https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

  • Amazon Machine Learning: Nice and Easy or Overly Simple?

    …ell conceived wizards, creating your first project is a fast and pleasant experience. Once you have your data set in a properly formatted csv file on S3, the whole process is composed of four steps: Creating a datasource: Telling Amazon Machine Learning where your data is and what schema it follows…

    https://www.kdnuggets.com/2016/02/amazon-machine-learning-nice-easy-simple.html

  • Interview: Dave McCrory, Basho on Why Data Gravity Cannot be Ignored in Architecture Design

    ...he Solr. It powers integration with a wider variety of existing software through client query APIs. In Riak CS 1.5, I really like the improved Amazon S3 compatibility. Our expanded storage API compatibility with S3 includes multi-object delete, put object copy and cache control headers which...

    https://www.kdnuggets.com/2015/03/interview-dave-mccrory-basho-data-gravity.html

  • DuPont Pioneer: Data Engineer

    ...n Computer Science, Physics, Electrical Engineering, or a related field. Required Competencies: Practical cloud computing with AWS technologies (EC2, S3, ECS, etc.) in high performance and data intensive architectures for ingesting, computing, and managing spatial and non-spatial datasets. Strong...

    https://www.kdnuggets.com/jobs/17/06-29-dupont-pioneer-data-engineer.html

  • Data Science & Machine Learning Platforms for the Enterprise

    …sures such as firewall rules and audit trails. Fixed vs. Interchangeable Data Sources A data 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…

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

  • How A Data Scientist Can Improve Productivity

    …tutorial): # Install DVC $ pip install dvc # Initialize DVC repository $ dvc init # Download a file and put to data/ directory. $ dvc import https://s3-us-west-2.amazonaws.com/dvc-share/so/25K/Posts.xml.tgz data/ # Extract XML from the archive. $ dvc run tar zxf data/Posts.xml.tgz -C data/ #…

    https://www.kdnuggets.com/2017/05/data-scientist-improve-productivity.html

  • Are Data Lakes Fake News?">Silver Blog, Sep 2017Are Data Lakes Fake News?

    …hnologies are a good fit for a data reservoir. This really depends on the type of your data. For unstructured data, a distributed file system such as S3 or HDFS is a good fit. For small volumes of data, e.g. reference, master data, or application data from operational systems, a relational database…

    https://www.kdnuggets.com/2017/09/data-lakes-fake-news.html

  • Data Version Control in Analytics DevOps Paradigm

    …tomatically building data dependency graph (DAG). Your code and the dependencies could be easily shared by Git, and data — through cloud storage (AWS S3, GCP) in a single DVC environment. Although DVC was created for machine learning developers and data scientists originally, it appeared to be…

    https://www.kdnuggets.com/2017/08/data-version-control-analytics-devops-paradigm.html

  • Celgene: Sr. Manager, Data Lake

    ...g, Scoop, Cloudera Navigator, or similar DBMS / SQL NoSQL and Graph databases ETL/ELT Tools (e.g Talend, Informatica BDM) AWS services, in particular S3 and use of CLI Implementation/maintenance of complex data pipelines Programming languages such Java, python XML/JSON file formats Metadata...

    https://www.kdnuggets.com/jobs/17/07-18-celgene-manager-data-lake.html

  • Best practices of orchestrating Python and R code in ML projects

    …hat are related to our model development. In that phase DVC creates dependencies that will be used in the reproducibility phase: $ dvc import https://s3-us-west-2.amazonaws.com/dvc-share/so/25K/Posts.xml.tgz data/ $ dvc run tar zxf data/Posts.xml.tgz -C data/ $ dvc run Rscript code/parsingxml.R…

    https://www.kdnuggets.com/2017/10/best-practices-python-r-code-ml-projects.html

  • Yet Another Day in the Life of a Data Scientist">Silver BlogYet Another Day in the Life of a Data Scientist

    ...s a senior data engineer and a member of the core team, I have already worked on creating a scalable and easily accessible data pipeline using Amazon S3, Redis, Python and AWS Lambda (the upstream system mentioned earlier) to make this process smooth and easy. Now I am actively involved in...

    https://www.kdnuggets.com/2017/12/yet-another-day-life-data-scientist.html

  • Retina.AI: Sr. Data Engineer

    ...d maintenance Experience with multiple RDBMS and Columnar/Graph database technologies at scale Experience with cloud technologies (e.g. AWS Redshift, S3, EMR, etc) Experience in dimensional data modeling and schema design BI and Visualization experience a plus Excellent written and verbal...

    https://www.kdnuggets.com/jobs/17/10-19-retina-ai-data-engineer.html

  • Machine Learning in Real Life: Tales from the Trenches to the Cloud – Part 1

    ...with daily backups), which not only stores the final performance metrics, but also stores links to where the generated models which we stored in AWS s3. We create a git tag automatically for the training code, each time an experiment is run, with the database experiment id in the git tag text....

    https://www.kdnuggets.com/2017/06/machine-learning-real-life-tales-1.html

  • Graph Analytics Using Big Data

    ...SparkSession session = ...   Let’s now load the airports dataset. Even though this file is stored locally but it can reside it HDFS or in amazon s3 and apache spark is quite flexible to let us pull this. Dataset rawDataAirport = session.read().csv("data/flight/airports.dat");   Now let’s...

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

  • Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

    ...ublic cloud extends the flexibility and choice for the data scientist/data engineer. Analysis workloads on the VMware Cloud on AWS may now reach into S3 storage on AWS in a local fashion, within a common data center, thus bringing down the latency of access for data. In this article, we have seen...

    https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

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

    ...the share of cloud users grew from 2015 (51% to 61%) while the share of YARN decreased (40% to 36%). One reason is that cloud storage such as Amazon S3 is generally more cost-effective, more reliable and easier to manage than HDFS. 2) Apache Spark 2.0 was released in July, with significant...

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

  • Eight Things an R user Will Find Frustrating When Trying to Learn Python">Silver BlogEight Things an R user Will Find Frustrating When Trying to Learn Python

    ...d so on is frustrating. That said, python’s capabilities are a little better than R in this area. Object Orientation. I’ve grown to love R’s flexible S3 classes with lines like: > x <- 5 > class(x) <- "just_made_this_up" > x [1] 5 attr(,"class") [1] "just_made_this_up" In python I am...

    https://www.kdnuggets.com/2016/11/r-user-frustrating-learning-python.html

  • Propensity Score Matching in R

    ...sponds to the ad campaign). References: www.statisticshowto.com/propensity-score-matching/ pareonline.net/getvn.asp?v=19&n=18 rstudio-pubs-static.s3.amazonaws.com/284461_5fabe52157594320921fc9e4d539ebc2.html Research paper on “Propensity Score Matching in Observational Studies”. Inferring...

    https://www.kdnuggets.com/2018/01/propensity-score-matching-r.html

  • Laying the Foundation for a Data Team

    ...ve if you are careless). Support for streaming inserts with basic deduplication functionality. As compared to Redshift, we don’t need to save data on S3 or Google Cloud Storage first which avoids one unnecessary step. Fully managed, just throw everything you can at it. Data is available in...

    https://www.kdnuggets.com/2016/12/laying-foundation-data-team.html

  • Pandas Cheat Sheet: Data Science and Data Wrangling in Python">Silver BlogPandas Cheat Sheet: Data Science and Data Wrangling in Python

    ...ith Pandas is how your data gets handled when your indices are not syncing up. In the example that the cheat sheet gives, you see that the indices of s3 aren’t equal to the ones your Series s has. This could happen very often! What Pandas does for you in such cases is introduce NA values in the...

    https://www.kdnuggets.com/2017/01/pandas-cheat-sheet.html

  • Models: From the Lab to the Factory

    ...data that gets stored in the app’s online production data repository. This data is later fed to an offline historical data repository (like Hadoop or S3) so that it can be analyzed by data scientists to understand how users are interacting with the app. It can also be used, for example, to build a...

    https://www.kdnuggets.com/2017/04/models-from-lab-factory.html

  • Dask and Pandas and XGBoost: Playing nicely between distributed systems

    ...ust a bunch of Pandas dataframes spread across a cluster) and do a bit of preprocessing: This loaded a few hundred pandas dataframes from CSV data on S3. We then had to downsample because how we are going to use XGBoost in the future seems to require a lot of RAM. I am not an XGBoost expert. Please...

    https://www.kdnuggets.com/2017/04/dask-pandas-xgboost-playing-nicely-distributed-systems.html

  • AI & Machine Learning Black Boxes: The Need for Transparency and Accountability

    ...a; and Barocas, Solon (2014). Data and Discrimination: Collected Essays. New America: Open Technology Institute. Retrieved from https://na-production.s3.amazonaws.com/documents/data-and-discrimination.pdf. Programming and Prejudice: UTAH computer scientists discover how to find bias in algorithms...

    https://www.kdnuggets.com/2017/04/ai-machine-learning-black-boxes-transparency-accountability.html

  • More Effective Transfer Learning for NLP

    ...e naive baseline with as few as 100 labeled training examples. Complete benchmarks on 23 different classification tasks are available for download on s3.   “Finetune”: Scikit-Learn Style Model Finetuning for NLP   In light of this recent development, Indico has open sourced a wrapper for...

    https://www.kdnuggets.com/2018/10/more-effective-transfer-learning-nlp.html

  • Jimdo: Sr Data Scientist [Hamburg, Germany]

    ...Wabbit, Snorkel, scikit-learn, weka, H2O, TensorFlow, Keras, MXNet, etc.) Nice to have Demonstrated ability to work and improve on an AWS stack (EC2, S3, RDS, Lambda and Redshift) Experience in a SAAS / Freemium product environment 4+ years of job experience in Data Science Amanda will be happy to...

    https://www.kdnuggets.com/jobs/18/09-27-jimdo-gmbh-data-scientist.html

  • Free resources to learn Natural Language Processing

    ...sser amount of data. Here are two papers from OpenAI and Ruder, and Howard which deal with these techniques. https://arxiv.org/abs/1801.06146 https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf. Fast.ai has a more friendly...

    https://www.kdnuggets.com/2018/09/free-resources-natural-language-processing.html

  • DynamoDB vs. Cassandra: from “no idea” to “it’s a no-brainer”

    ...the already existing tables, especially if you can’t stop your incoming data traffic. The migration process requires additional tools, such as Amazon S3 and Data Pipeline (or, instead, DynamoDB streams and Lambda function).Oryou may even have to temporarily modify your application code (which...

    https://www.kdnuggets.com/2018/08/dynamodb-vs-cassandra.html

  • Predictive Science: Data Scientist

    ...analysis methodology, simulation, scenario analysis, modeling, and neural networks. Experience with web services such as AWS ,DigitalOcean, Redshift, S3, and Spark. Also the ability to connect data using web API, REST API, and web crawling techniques. Experience with SQL querying and knowledge of...

    https://www.kdnuggets.com/jobs/16/10-12-predictivescience-data-scientist.html

  • Mindstrong Health: Sr Data Scientist / Machine Learning, Statistics, Coding [Palo Alto, CA]

    ...livering concrete implementations on tight schedules Have extensive experience using Python/R, TensorFlow & Keras/Torch, Spark and the AWS stack (S3, SQL, Mongo, Redshift) PhD (preferred) or MS in statistics, computer science or related mathematical disciplines with an emphasis on both...

    https://www.kdnuggets.com/jobs/18/10-17-mindstrong-health-data-scientist.html

  • Practical Apache Spark in 10 Minutes

    ...es (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 – Ubuntu installation In this...

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

  • The Role of the Data Engineer is Changing

    ...it here is that this shift has a tremendous impact on who builds these pipelines . If you’re writing Scalding code to scan terabytes of event data in S3 and aggregating it to a session level so that it can be loaded into Vertica, you’re probably going to need a data engineer to write that job. But...

    https://www.kdnuggets.com/2019/01/role-data-engineer-changing.html

  • Comparison of the Top Speech Processing APIs

    ...on Transcribe   Amazon Transcribe is a part of the Amazon Web Services infrastructure. You can analyze your audio documents stored in the Amazon S3 service and get the text made from the audio. Amazon Transcribe can add punctuation and text-formatting. Another valuable function provided by...

    https://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.html

  • Introduction to Apache Spark

    ...ile stored in the Hadoop distributed filesystem (HDFS) or other storage systems supported by the Hadoop APIs (including your local filesystem, Amazon S3, Cassandra, Hive, HBase, etc.). It’s important to remember that Spark does not require Hadoop; it simply has support for storage systems...

    https://www.kdnuggets.com/2018/07/introduction-apache-spark.html

  • Why the Data Lake Matters

    ...easily get clear business value from their streaming data. Bio: Yoni Iny is the CTO of Upsolver, which provides a leading Data Lake Platform for AWS S3, and is a technologist specializing in big data and predictive analytics. Before co-founding Upsolver, he worked in several technology roles,...

    https://www.kdnuggets.com/2018/06/why-data-lake-matters.html

  • Pair Finance: Python Developer

    ...xperience with Linux server administration, IT security, distributed computing and parallelized computation Experience with Amazon Web Services (EC2, S3, RDS, OpsWorks) or other cloud-based infrastructure solutions What do we offer You will have the opportunity to participate in one of the most...

    https://www.kdnuggets.com/jobs/18/04-30-pair-finance-python-developer.html

  • National Grid: Dev Ops – Operations Engineer / Sr Ops Engineer – Advanced Analytics

    ...aho, Kettle, SSIS AWS (Amazon Web Service) – Infrastructure Deployment & Multi-thread Programming, Cloud administration, IAM, VPC, EC2, RDS, EMR, S3, EBS, ELB Distributed Process Management – Elastic MapReduce (EMR), SPARK Analytics Operations Engineering skills (e.g. distributed computing,...

    https://www.kdnuggets.com/jobs/18/03-21-national-grid-dev-ops.html

  • A Beginner’s Guide to Data Engineering – Part II

    ...uery performance. In particular, one common partition key to use is datestamp (ds for short), and for good reason. First, in data storage system like S3, raw data is often organized by datestamp and stored in time-labeled directories. Furthermore, the unit of work for a batch ETL job is typically...

    https://www.kdnuggets.com/2018/03/beginners-guide-data-engineering-part-2.html

  • Pair Finance: Team Lead Data Scientist

    ...xperience with Linux server administration, IT security, distributed computing and parallelized computation Experience with Amazon Web Services (EC2, S3, RDS, OpsWorks) or other cloud-based infrastructure solutions Experience with A/B testing What do we offer You will have the opportunity to...

    https://www.kdnuggets.com/jobs/18/04-30-pair-finance-team-lead-data-scientist.html

  • Midigator: Sr. Data Engineer

    ...ysis with fast growing and evolving datasets Ability to productize data models within business requirements Amazon Web Services experience (VPC, EC2, S3, SNS/SQS, Lambda, ECS, ECR, ELB, EBS, Route53) 4-5 year of related experience Preferred Qualifications Experience with Spark, Databricks, etc....

    https://www.kdnuggets.com/jobs/18/05-07-midigator-data-engineer.html

  • Agero: Sr. Data Science Engineer

    ...ganizing, and able to prioritize multiple complex assignments. Preferred Qualifications: Experience with AWS technologies including Lambda, DynamoDB, S3, EC2, Redshift. Experience using Git and working on shared code repositories. Experience with Spark / Databricks. Experience implementing and...

    https://www.kdnuggets.com/jobs/18/05-11-agero-data-science-engineer.html

  • 9 Must-have skills you need to become a Data Scientist, updated">Platinum Blog9 Must-have skills you need to become a Data Scientist, updated

    ...it is heavily preferred in many cases. Having experience with Hive or Pig is also a strong selling point. Familiarity with cloud tools such as Amazon S3 can also be beneficial. A study carried out by CrowdFlower on 3490 LinkedIn data science jobs ranked Apache Hadoop as the second most important...

    https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html

  • Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Gold BlogComparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

    ...d NoSQL database schemes, which are supported by many established and trusted solutions like Hadoop Distributed File System (HDFS), Cassandra, Amazon S3, and Redshift. For organizations that have used powerful storage systems before embarking on machine learning, this won’t be a barrier. If you...

    https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

  • Decision Boundaries for Deep Learning and other Machine Learning classifiers

    …on GitHub. In order to install it, you have to add some arguments to run install.packages function. > install.packages( “h2o” , repos= (c( “http://s3.amazonaws.com/h2o-release/h2o/master/1542/R” , getOption( “repos” )))) > library ( “h2o” , lib.loc= “C:/Program Files/R/R-3.0.2/library” )…

    https://www.kdnuggets.com/2015/06/decision-boundaries-deep-learning-machine-learning-classifiers.html

  • Dataiku Data Science Studio

    ...portant than ever. Load and Prepare First of all, DSS enables direct and fast connection to the most common sources (Hadoop, SQL, Cassandra, MongoDB, S3, …) and formats (CSV, Excel, SAS, JSON, Avro, …) for data today. After connecting to a data source, the first step in any serious modeling job is...

    https://www.kdnuggets.com/2014/08/dataiku-data-science-studio.html

  • Business Intelligence Innovation Summit 2014 Chicago: Day 2 Highlights

    ...for product design, content selection, marketing, customer experience, payments and finance. The data (greater than 7 peta-bytes) is stored on Amazon S3 (Simple Storage Service) and Teradata Cloud, where it observes around 100 billion events/transactions per day. Using cloud-based architecture...

    https://www.kdnuggets.com/2014/07/business-intelligence-innovation-summit-2014-chicago-day2.html

  • Affinio: Sr. Software Engineer, Machine Learning and Big Data

    ...owledge and Experience Requirements Expert knowledge of the Java/Scala programming languages, web service development, and scalable data stores (e.g. S3, DynamoDB, HBase, Cassandra) Expert knowledge of C, C++, SQL, and object-oriented programming languages Minimum of 5 years professional experience...

    https://www.kdnuggets.com/jobs/14/07-22-affinio-sr-software-engineer-machine-learning-big-data.html

  • RTDS: Senior Data Mining Developer

    ...nx, tomcat, Jetty, and Apache.   Nice-to-Have Expertise Knowledge of data mining and big data. Experience with Amazon technology such as EC2 and S3. Working experience with source-revision software such Git/SVN. Practical knowledge of tool such as R, SPSS, Orange, and Rapid Miner.  ...

    https://www.kdnuggets.com/jobs/14/11-20-rtdsinc-senior-data-mining-developer.html

  • 9 Must-Have Skills You Need to Become a Data Scientist

    ...it is heavily preferred in many cases. Having experience with Hive or Pig is also a strong selling point. Familiarity with cloud tools such as Amazon S3 can also be beneficial. SQL Database/Coding – Even though NoSQL and Hadoop have become a large component of data science, it is still expected...

    https://www.kdnuggets.com/2014/11/9-must-have-skills-data-scientist.html

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

    ...ounder 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 lossless...

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

  • 16 NoSQL, NewSQL Databases To Watch

    ...d operational simplicity. Basho-supported Riak Enterprise and Riak CS bring support plus enterprise-grade features and Amazon Web Services-compatible S3 cloud storage, respectively. Splice Machine. There are plenty of SQL-on-Hadoop options out there, but the unique claim of startup Splice Machine...

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

  • Real Time Data Solutions: Data Analyst

    ...equivalent work experience Proven record of work with very large structured and unstructured data sets Familiarity with AWS technologies such as EC2, S3. Strong background in applied mathematics and statistics. Expert knowledge of tool such as R, SPSS, Orange, or RapidMiner. Ability to use...

    https://www.kdnuggets.com/jobs/14/11-22-rtdsinc-data-analyst.html

  • Don Zereski, VP, Local Search & Discovery, HERE (Nokia) on Location Analytics and Architecture Evolution

    ...the key drivers of the change. In our case, we have many different teams sharing a common data asset. With Amazon, we house the common data asset in S3 buckets and allow teams to independently run analytics jobs in their own EMR clusters. This is much better since it allows teams to scale up their...

    https://www.kdnuggets.com/2014/06/interview-don-zereski-nokia-location-analytics-architecture.html

  • Hadoop: Elephants in the Cloud

    ...e. Hadoop 2.0 clusters could be launched alongside existing Hadoop 1.0 clusters, processing the same data stored in cloud storage like Amazon’s S3, with minimal capacity investment. If found suitable, clusters can be switched to the new version in a phased manner, easing migration. Thus, the...

    https://www.kdnuggets.com/2014/01/hadoop-elephants-in-the-cloud.html

  • Data Mining Programmer

    …ource revision software such git/svn. Nice to have Expertise Knowledge of Data Mining and big data. Experience with Amazon technology such as EC2 and S3. Keen interest for Data Visualization. Ability to perform back-end task such as configuring server like nginx, tomcat, jetty, apache. C/C++…

    https://www.kdnuggets.com/jobs/13/08-17-realtimedatasolution-data-mining-programmer-b.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...achine learning, data mining, artificial intelligence, statistics. Experience distributed algorithms (Map-Reduce, MPI) Experience with AWS offerings (S3, EMR, SWF) Ability to technically lead small to mid-size teams, mentor junior members. Excellent verbal and written communication skills. Results...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • YPS: Yottamine Predictive ServicesSVM, Machine Learning in the Amazon Cloud

    ...ng family of predictive services. YPS is available exclusively to users of Amazon’s AWS Elastic Compute Cloud (EC2) and Simple Storage Service (S3). These Amazon services allow YPS users to “rent” just the amount of computing power and data storage they need to build new...

    https://www.kdnuggets.com/2013/02/yps-yottamine-predictive-services-machine-learning-amazon-cloud.html

  • Real Time Data Mining, Sr. UX designer

    …te illustrations, skin UI, and edit images is a strong plus. Working knowledge of REST applications Experience with Amazon technology such as EC2 and S3 Work experience with source revision software such git/svn. Ability to perform back-end task such as configuring server like nginx, tomcat, jetty,…

    https://www.kdnuggets.com/jobs/13/07-15-adtheorent-senior-information-architect-ux-designer.html

  • Data Mining Programmer

    …ource revision software such git/svn. Nice to have Expertise Knowledge of Data Mining and big data. Experience with Amazon technology such as EC2 and S3. Keen interest for Data Visualization. Ability to perform back-end task such as configuring server like nginx, tomcat, jetty, apache. C/C++…

    https://www.kdnuggets.com/jobs/13/07-31-adtheorent-data-mining-programmer-b.html

  • 10 Big Data Startups at Strata

    ...e’s SimpleSearch tool provides 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...

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

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...achine learning, data mining, artificial intelligence, statistics. Experience distributed algorithms (Map-Reduce, MPI) Experience with AWS offerings (S3, EMR, SWF) Ability to technically lead small to mid-size teams, mentor junior members. Excellent verbal and written communication skills. Results...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

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

    ...itoring dashboards, processing and re-processing data (yes, dataflow graphs can have cycles!) ­ everything 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...

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

  • Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure

    ...can load your data from anywhere it might live in its vast network of web services. This includes relational data stored in RDS, csv files stored in S3 or data in Amazon’s Redshift data warehouse. Given Amazon’s primacy in virtualized web services, it seems this is likely to appeal to...

    https://www.kdnuggets.com/2015/04/cloud-machine-learning-amazon-ibm-watson-microsoft-azure.html

  • Hadoop Key Terms, Explained

    ...SQL like query language known as HiveQL (HQL), for querying the dataset. Hive supports storage in HDFS and other compatible file systems like Amazon S3, and others. 8. Apache Pig   Apache Pig is a high level platform for large data set analysis. The language to write Pig scripts are known as...

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

  • CRN Top Data Management Technologies Vendors 2016

    ...r that speeds up big data queries from business intelligence tools such as Tableau, Qlik and MicroStrategy from any data source like Hadoop or Amazon S3. New York, NY. MarkLogic – Offers an enterprise NoSQL database built with a flexible data model to store, manage, query and search...

    https://www.kdnuggets.com/2016/05/crn-top-data-management-technologies-vendors-2016.html

  • Spark 2.0 Preview Now on Databricks Community Edition: Easier, Faster, Smarter

    By Reynold Xin, Databricks. For the past few months, we have been busy working on the next major release of the big data open source software we love: Apache Spark 2.0. Since Spark 1.0 came out two years ago, we have heard praises and complaints. Spark 2.0 builds on what we have learned in the...

    https://www.kdnuggets.com/2016/05/spark-2-preview-databricks-community-edition.html

  • Cloud Computing Key Terms, Explained

    …s they use by the hour. An auto-scaling feature allows developers to dynamically adapt to changes in requirements. 10. Amazon Simple Storage Service (S3) This is again a part of AWS that allows for the storage and backup of data on the cloud. It offers highly scalable, unlimited archiving and…

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

  • Apache Spark Key Terms, Explained

    ...top, 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 become CTO at Databricks and faculty...

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

  • Jimdo: Data Scientist

    ...ood knowledge of current developments in Data Science and Big Data. Keen to work within an innovative and flexible analytics infrastructure (AWS EC2, S3, RDS and Redshift). Awesome communication skills, and a high level of initiative and creativity. Always looking at the “bigger picture”,...

    https://www.kdnuggets.com/jobs/16/06-30-jimdo-data-scientist.html

  • Jimdo: Data Engineer

    ...xperience with cloud-based infrastructure like Amazon Web Services with a strong focus on flexible web service and analytics infrastructure (AWS EC2, S3, EMR, RDS, Redshift) Technical skills to process large data volumes Continuous integration and deployment are terms you love to hear An agile...

    https://www.kdnuggets.com/jobs/16/06-30-jimdo-data-engineer.html

  • Top 15 Frameworks for Machine Learning Experts

    …e process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. It connects to data stored in Amazon S3, Redshift, or RDS, and can run binary classification, multiclass categorization, or regression on said data to create a model. Azure ML Studio…

    https://www.kdnuggets.com/2016/04/top-15-frameworks-machine-learning-experts.html

  • Top Spark Ecosystem Projects

    ...Formerly known as Tachyon, Alluxio sits between computation frameworks, such as Apache Spark, and various types of storage systems, including Amazon S3, HDFS, Ceph, and others. Spark jobs can run on Alluxio without any changes, to which Alluxio can provide significant performance increases....

    https://www.kdnuggets.com/2016/03/top-spark-ecosystem-projects.html

  • Exclusive Interview: Matei Zaharia, creator of Apache Spark, on Spark, Hadoop, Flink, and Big Data in 2020

    ...eployments that are not on Hadoop, including deployments on NoSQL stores (e.g. Cassandra) and deployments directly against cloud storage (e.g. Amazon S3, Databricks Cloud). In this sense Spark is reaching a broader audience than Hadoop users. Most of the development activity in Apache Spark is now...

    https://www.kdnuggets.com/2015/05/interview-matei-zaharia-creator-apache-spark.html

  • WebDataCommons – the Data and Framework for Web-scale Mining

    ...has changed in 2012 with the nonprofit Common Crawl Foundation starting to crawl the Web and making large Web corpora accessible to anyone on Amazon S3. Still, a corpus of several billion HTML pages is not exactly the right input for many mining algorithms and a fair amount of pre-processing and...

    https://www.kdnuggets.com/2015/05/webdatacommons-data-web-scale-mining.html

  • KDnuggets™ News 15:n12, Apr 22: Predictive Analytics Future? Top LinkedIn Groups; Preventing Overfitting

    ...mazon recently announced Amazon Machine Learning, a cloud machine learning solution for Amazon Web Services. Able to pull data effortlessly from RDS, S3 and Redshift, the product could pose a significant threat to Microsoft Azure ML and IBM Watson Analytics. Cartoon: A solution for Data Scientists...

    https://www.kdnuggets.com/2015/n12.html

  • Top 20 R packages by popularity

    ...Curl General network (HTTP/FTP/…) client interface for R. (340530 downloads, 4.2/5 by 11 users) bitops Bitwise Operations(322743 downloads) zoo S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations) (302052 downloads, 3.8/5 by 11 users) knitr A...

    https://www.kdnuggets.com/2015/06/top-20-r-packages.html

  • Bot or Not: an end-to-end data analysis in Python

    …el for future development in scikit-learn. Bio: Erin Shellman is a statistician + programmer working as a research scientist at Amazon Web Services – S3. Before joining AWS, she was a Data Scientist in the Nordstrom Data Lab where I worked in the area of personalization, building product…

    https://www.kdnuggets.com/2015/11/bot-not-data-analysis-python.html

  • Python Data Science with Pandas vs Spark DataFrame: Key Differences

    ...lar professional formats, like JSON files, Parquet files, Hive table — be it from local file systems, distributed file systems (HDFS), cloud storage (S3), or external relational database systems. But CSV is not supported natively by Spark. You have to use a separate library: spark-csv. pandasDF =...

    https://www.kdnuggets.com/2016/01/python-data-science-pandas-spark-dataframe-differences.html

  • Quad Analytix: Extraction Architect

    ...s or Masters in Computer Science Python: celery, urllib2, lxml, selenium, eventlet, nltk, matplotlib, scrapbook extensions. Amazon Web Services (EC2, S3/Glacier, VPC) Devops tools like Puppet and Fabric. Knowledge of Nutch, Heritrix. NoSQL Databases such as MongoDB and Hadoop-Hbase. Statsd &...

    https://www.kdnuggets.com/jobs/16/01-08-quadanalytix-extraction-architect.html

  • Big Data Key Terms, Explained

    ...top, Apache Hadoop, Apache Mesos, standalone, or in the cloud. It can access diverse data sources including HDFS, Apache Cassandra, Apache HBase, and S3. (From Denny Lee and Jules Damji’s Apache Spark Key Term’s, Explained) 18. Internet of Things The Internet of Things (IoT) is a...

    https://www.kdnuggets.com/2016/08/big-data-key-terms-explained.html

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