new Topics: Coronavirus | AI | Data Science | Deep Learning | Machine Learning | Python | R | Statistics

Search results for dbms

    Found 47 documents, 10914 searched:

  • 3 Key Trends in the DBMS Market

    Guest post by Dr. Michael Waclawiczek (NuoDB), May 3, 2014. There are 3 key trends going on in the DBMS market: The DBMS market is consolidating. For example, out of dozens and dozens of startup DBMS companies, Gartner stripped the competitive landscape down to just 19 players to watch in its...

    https://www.kdnuggets.com/2014/05/nuodb-3-key-trends-dbms-market.html

  • Exclusive Interview: Michael Brodie, Leading Database Researcher, Industry Leader, Thinker

    ...these emerging classes of data-domain specific DBMSs is that we are only now discovering the rich use cases that they serve. The use cases define the DBMSs and the DBMSs help formulate the use cases. SciDB is a superb example of managing scientific data and computation at scale. It is awkward for...

    https://www.kdnuggets.com/2014/04/michael-brodie-database-researcher-leader-thinker.html

  • 16 NoSQL, NewSQL Databases To Watch

    ...DB has high-scale, high-speed transaction processing down pat thanks to its highly distributed, in-memory architecture. The open source, GNU-licensed DBMS, dreamed up in part by co-founder/DBMS luminary Dr. Michael Stonebraker, can handle fast-streaming data from the likes of telcos, mobile ad...

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

  • To SQL or not To SQL: that is the question!

    ...h many, nested, or hierarchical relations between objects. The below table concludes this article by summarizing the differences between traditional RDBMS, NoSQL DBMS and NewSQL DBMS. Traditional SQL RDBMS NoSQL databases Blended systems, “NewSQL” Relational Yes No Yes SQL Yes No, though can come...

    https://www.kdnuggets.com/2018/05/sql-not-sql-question.html

  • Interview: Michael Stonebraker, greatest living contributor to database technology

    ...ng contributor to database technology," and what trends do you foresee in relational database management systems (RDBMS)? Aw, shucks.... I think the RDBMS market is in a "watershed" transition at the present time. The DBMS market, in general, has expanded from just business data processing to a...

    https://www.kdnuggets.com/2015/05/interview-michael-stonebraker-greatest-contributor-database-technology.html

  • Top Handy SQL Features for Data Scientists">Gold BlogTop Handy SQL Features for Data Scientists

    ...seful string functions in SQL just like we have in programming languages. You can avoid writing lines of code when such features are available in the DBMS itself, because it is faster. Some common string functions are – 1. upper and lower To convert the entire string to upper or lower case, we can...

    https://www.kdnuggets.com/2019/08/top-handy-sql-feature-data-scientist.html

  • Top 20 ODSC 2020 Global Virtual Conference Sessions

    ...Dr. Stonebraker has been a pioneer of database research and technology for more than forty years. He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES. Much of his current research focuses on database technology, operating systems and the architecture...

    https://www.kdnuggets.com/2020/03/odsc-2020-global-virtual-conference.html

  • Data Science Influencers and Keynotes Coming to ODSC East 2020

    ...Dr. Stonebraker has been a pioneer of database research and technology for more than forty years. He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES. Much of his current research focuses on database technology, operating systems and the architecture...

    https://www.kdnuggets.com/2020/02/odsc-data-science-influencers-keynotes.html

  • Is SQL needed to be a data scientist?

    ...with SQL, including answers to the 5 Ws and 1 H – how, why, where, when, who and what. We will also learn the basics of Database Management Systems (DBMS) and understand how being a data scientist could be the best choice for your career. What is data science? Data science is broad in its...

    https://www.kdnuggets.com/2019/07/sql-needed-data-scientist.html

  • Business Intelligence (BI), Analytics, Database and OLAP Software

    ...work the way you think. Follow your stream of thought to see patterns, separate outliers, expose root causes and get the answers you need now. Sav Z DBMS and Server, Object-relational DBMS, coded in Java, featuring expressive Sav Z language. Free Download! SoftPro Manager 4.0, OLAP...

    https://www.kdnuggets.com/software/bi-db-olap.html

  • KDnuggets™ News 14:n11, May 7

    ...ce team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services. Publications 3 Key Trends in the DBMS Market - May 3, 2014. The top 3 trends in DBMS include market consolidation, moving beyond OLTP, and distributed computing - we examine them in...

    https://www.kdnuggets.com/2014/n11.html

  • Big Data Techcon Boston: Hadoop is not dead yet

    ...BI, SQL, and Datawarehousing are useless for Complex Analytics #BigDataTechCon Mike Stonebraker: analysts now use 2 systems - one for stats, one for DBMS, copy back and forth, and hate it #BigDataTechCon Mike Stonebraker: Hadoop is very good at "embarassingly parallel" problems, sucks on all other...

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

  • Database Key Terms, Explained

    ...ich facilitates the organization of housed data into a particular database architecture, be it relational (Relational Database Management System, or RDBMS), document store, key-value store, column-oriented, graph, or other. Popular DBMSs include MongoDB, Cassandra, Redis, MySQL, Microsoft SQL...

    https://www.kdnuggets.com/2016/07/database-key-terms-explained.html

  • How to Make Your Database 200x Faster Without Having to Pay More

    …pproximate answers right away. In principle, it is possible to use Verdict with any SQL database, which means you won’t be restricted to any specific DBMS. But currently, it only comes with drivers for Spark SQL, Hive and Impala. The advantage is that it is generic and can be made to work with any…

    https://www.kdnuggets.com/2016/11/make-database-200x-faster.html

  • Tamr 2016 Data Management Predictions

    ...logy into DBMSs will emerge as a major issue in this space. The net effect of "one size does not fit all" is that most applications will use multiple DBMSs, each optimized for a portion of their requirements. Work on multi-DBMS "wrappers" (so-called polystores) will intensify.   Ihab Ilyas,...

    https://www.kdnuggets.com/2015/12/tamr-2016-data-management-predictions.html

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

    ...networks;5 lucrative tech careers in 2015: Data Scientist ($150K), Data Engineer ($148K);Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain;10 Most-Funded #BigData #Startups;    CFP - Calls for Papers  (see also All Calls for Papers ) Due Mar 13,...

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

  • 2015 Predictions – What’s Next for Data Scientists?

    ...er of the world’s fastest database. EXASOL is the first company to combine in-memory with columnar storage and massively parallel processing into its DBMS, EXASolution – giving it unrivaled speed and performance, according to independent TPC-H Benchmark Related: IIA 2015 Analytics Predictions...

    https://www.kdnuggets.com/2014/12/2015-predictions-data-scientists.html

  • Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer

    ...d Prof Trevor Hastie on Sparse Linear Models #DataScience t.co/lyx0FVsRZW t.co/HC0861L8uf Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain t.co/FlYuRAhepy t.co/uRiTDFSH0q .@DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights, present visually to users...

    https://www.kdnuggets.com/2015/02/top-tweets-feb23-25.html

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...allows deployment as .NET components. Teradata Warehouse Miner and Teradata Analytics, providing analytic services for in-place mining on a Teradata DBMS. thinkCRA from thinkAnalytics, an integrated suite of Customer Relationship Analytics applications supporting real-time decisioning. TIBCO...

    https://www.kdnuggets.com/software/suites.html

  • Big Data Bootcamp, Austin: Day 2 Highlights

    ...larified at first that graph databases do not store graphs/charts and graphs are very different from charts. A graph databases is basically an online DBMS with CRUD methods that expose a graph data model. Two important components of graph databases are: Native graph storage engine and native graph...

    https://www.kdnuggets.com/2015/04/big-data-bootcamp-austin-highlights-day2.html

  • Presto for Data Scientists – SQL on anything

    ...As a result, highly concurrent queries execute at interactive speeds. However, there is one notable departure from the textbook recipe for a parallel DBMS -- the separation of compute and storage. The architecture of Presto fully abstracts the data sources it can connect to. The Connector API...

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

  • Data Analytics Week for Government, Feb 23-25, Washington, DC

    ...nalytics: Continuous Activity-Based Intelligence on Big Data Understanding our Big Data Trends, the three "V's" of composition, general revolution in DBMS and in platforms and ways to empower the analyst are discussed in this past presentation by Kash Badami, Chief Healthcare Architect at...

    https://www.kdnuggets.com/2014/11/iqpc-data-analytics-week-government-february-washington-dc.html

  • CVS: Advisor, Retail Data Strategy Analytics

    ..., SAS, R, VBA, etc.) Ability to effectively write, interpret, and debug SQL with a thorough understanding of the processing and storage quirks of the DBMS on which the code is being executed – ie, at least one of the following data management systems: Teradata, Oracle, MariaDB, SQLServer, etc....

    https://www.kdnuggets.com/jobs/18/06-15-cvs-advisor-retail-data-strategy-analytics.html

  • Mongo DB Basics

    ...the collection ‘Country’. We can create multiple documents in the same collection. This collection refers to the Table for HBase or either a relation DBMS.     The below example shows a collection having multiple documents. Notice the number of fields in both the documents. The 1st...

    https://www.kdnuggets.com/2019/06/mongo-db-basics.html

  • The Great Big Data Science Glossary

    ...the new item might have. Database As simply as possible, this is a storage space for data. We mostly use databases with a Database Management System (DBMS), like PostgreSQL or MySQL. These are computer applications that allow us to interact with a database to collect and analyze the information...

    https://www.kdnuggets.com/2018/02/data-science-glossary.html

  • Celgene: Sr. Manager, Data Lake

    ...combined hands-on experience with the following technologies: Big Data Tools: Hadoop, Hive, Impala, Spark, Pig, 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...

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

  • Data Science and Big Data, Explained">Silver BlogData Science and Big Data, Explained

    ...ciples, which stands for Atomicity, Consistency, Isolation, Durability. Let’s begin by discussing database technologies. Database management systems (DBMS) and their relational counterparts (RDBMS) were the most widely used database systems for a long time since the 1980s. They are generally very...

    https://www.kdnuggets.com/2016/11/big-data-data-science-explained.html

  • The Internet of Things: An Introductory Tutorial Series

    ...y associated with high velocity and feature a streaming nature. Therefore, while a great deal of BigData analytics problems are served by traditional DBMS infrastructures that tore data in finite and persistent data sets, IoT analytics problems are typically better served by streaming databases...

    https://www.kdnuggets.com/2017/07/iot-internet-of-things-intro-tutorial-series.html

  • Help Define the Future of Open Source Data Management, Boston, June 26-28

    ...rity of companies that deliver these open source technologies. Open source database technologies are now growing at six times the rate of traditional DBMS options. Postgres Vision was created as a forum for the sharpest minds in open source as organizations strive to harvest greater strategic value...

    https://www.kdnuggets.com/2017/04/postgres-vision-boston-open-source-data-management.html

  • Starcom (SMG Performance Marketing): Analyst, Advanced Analytics

    ...al Studio, VB Script and Java Script Great project management skills Great organizational skills and attention to detail a must Great presentation and communication skills   Keywords: Analytics, optimization, quantitative, models, metrics, business intelligence, DBMS, web analytics, statistics...

    https://www.kdnuggets.com/jobs/14/07-16-smvgroup-analyst-advanced-analytics.html

  • Data Mining Engineer – Big Data/HPC

    ...inux OS system internals, storage concepts, & networking topologies & protocols. Exp. identifying performance bottlenecks w/network, I/O, OS, DBMS configuration. Exp. w/2+ of the following: Java, C++ (STL), Python, Perl, MATLAB, R, SPSS, SAS. Propensity to work with stakeholders from a...

    https://www.kdnuggets.com/jobs/13/04-03-bosch-data-mining-engineer-big-data-hpc.html

  • Sr. Data Analyst

    ...g data collaborating with statisticians/modelers during model development through implementation and maintenance extensive SQL Server (or equivalent) DBMS skills, including creating and optimizing database ETL processes (ex. SSIS SQL Server packages) Expert SQL and SAS programming skills preferred;...

    https://www.kdnuggets.com/jobs/13/01-04-iso-sr-data-analyst.html

  • Top KDnuggets tweets, Oct 7-8: Data Scientists need to be Polyglots; NaSent uses recursive deep learning

    ...how to know when to accept the model, and why clean data is dead. bit.ly/18NkxvH Google in Jeopardy: What if IBM Watson dethroned the King of Search? bit.ly/1hwFzAF Why NoSQL Databases are gaining fans: more scalable, faster & cheaper dev than DBMS from IBM, Oracle, Microsoft ubm.io/GMkoyL...

    https://www.kdnuggets.com/2013/10/top-tweets-oct7-8.html

  • Sr. Data Analyst

    ...g data collaborating with statisticians/modelers during model development through implementation and maintenance extensive SQL Server (or equivalent) DBMS skills, including creating and optimizing database ETL processes (ex. SSIS SQL Server packages) SQL and SAS programming skills preferred;...

    https://www.kdnuggets.com/jobs/13/06-29-iso-innovative-analytics-data-analyst.html

  • 2014 Jan: Features, News, Software: Analytics, Big Data, Data Mining, and Data Science

    ...Learning in SQL for Data Scientists - Jan 6, 2014.MADlib is open source with commercially usable BSD license; supports Postgres and Pivotal Greenplum DBMS, and provides classification, regression, clustering, topic modeling and other analytics for Big Data. Top stories for Dec 29 - Jan 4: Unicorn...

    https://www.kdnuggets.com/2014/01/news-software-old.html

  • KDnuggets™ News 14:n01, Jan 8

    ...Learning in SQL for Data Scientists - Jan 6, 2014.MADlib is open source with commercially usable BSD license; supports Postgres and Pivotal Greenplum DBMS, and provides classification, regression, clustering, topic modeling and other analytics for Big Data. BigML 2014 Winter Release: Faster,...

    https://www.kdnuggets.com/2014/n01.html

  • 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

    ...earning in SQL for Data Scientists - Jan 6, 2014. MADlib is open source with commercially usable BSD license; supports Postgres and Pivotal Greenplum DBMS, and provides classification, regression, clustering, topic modeling and other analytics for Big Data. Top KDnuggets tweets, Jan 3-5: How to...

    https://www.kdnuggets.com/2014/01/index-old.html

  • Top KDnuggets tweets, Dec 18-19: Poll Results: R has a big lead, Python is gaining; Who are Data Scientists?

    ...hts from complex media usage data sets, find strategic opportunities bit.ly/1fF4LpO Gartner analyst sees the bifurcation between relational and NoSQL DBMS markets diminishing over time buff.ly/18C9clH Top 10 KDnuggets tweets, Dec 16-17: A billion rows per second in Python; #BigData Dashboard...

    https://www.kdnuggets.com/2013/12/top-tweets-dec18-19.html

  • Bosch: Data Mining Engineer – Big Data Infrastructure

    ...als, storage concepts, & networking topologies & protocols is a necessity. Experience identifying performance bottlenecks w/network, I/O, OS, DBMS configuration. Experience with two or more of the following: Java, C++ (STL), Python, Perl, MATLAB, R, SPSS, SAS. HBase, Hive, Pig, Cassandra,...

    https://www.kdnuggets.com/jobs/14/04-17-bosch-data-mining-engineer-big-data-infrastructure.html

  • Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers

    ...of deep learning, called sum-product networks. SPNs have many layers of hidden variables, and thus the same kind of power as deep architectures like DBMs and DBNs, but with a big difference: in SPNs, the probabilistic inference is always tractable; it takes a single pass through the network, and...

    https://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html

  • Interview: Arpit Gupta, CEO, Actionable Analytics on Enterprise Challenges in Big Data and Cloud

    ...AR: Q6. If you were a fresher starting in Analytics industry today, how would you shape up your career? AG: Study stats, data structures, economics, DBMS and maths. Take online courses on machine learning and experiment on pen source tools such as Weka, Mahout, Hadoop etc. Be part of industry...

    https://www.kdnuggets.com/2014/08/interview-arpit-gupta-enterprise-big-data-cloud.html

  • September 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

    ...collect and analyze aerial data, raised $10M Series B t.co/8tbf9Rw9SH Sep 20: DataStax, Santa Clara firm making Apache Cassandra #BigData enterprise DBMS, secured $106M Series E t.co/Dvc4p6JHlT Sep 19: Nielsen buys Indian data analytics firm Indicus t.co/nICs90AEjq Sep 19: Dentsu Aegis media giant...

    https://www.kdnuggets.com/2014/10/september-analytics-big-data-science-company-activity.html

  • Interview: Christophe Toum, Talend on Why Big Data Needs Big Governance

    ...bad tennis player but it does not stop me from hitting the court at least once a week. Despite its incredible growth Talend has not lost its French roots of "art de vivre" and they give me the flexibility I need to get the work done and be happy in my personal life. Related: 3 Key Trends in the...

    https://www.kdnuggets.com/2014/08/interview-christophe-toum-talend-data-governance.html

  • Bosch Research and Technology Center: Data Mining Engineer – Big Data Infrastructure

    ...als, storage concepts, & networking topologies & protocols is a necessity. Experience identifying performance bottlenecks w/network, I/O, OS, DBMS configuration. Experience with two or more of the following: Java, C++ (STL), Python, Perl, MATLAB, R, SPSS, SAS. HBase, Hive, Pig, Cassandra,...

    https://www.kdnuggets.com/jobs/14/07-25-bosch-data-mining-engineer-big-data-infrastructure.html

  • KDnuggets Social Network in NodeXL, May 2014

    ...rn.html?utm_content=bufferbea9b&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer www.kdnuggets.com/2014/05/nuodb-3-key-trends-dbms-market.html?utm_content=buffer44ad7&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer...

    https://www.kdnuggets.com/2014/05/kdnuggets-social-network-nodexl-may-2014.html

  • Do you need a Masters Degree to become a Data Scientist?

    ...BioStatistics, HUMINT, OSINT, and organizational theory analysis. And experience developing software for HPC systems, information management systems, DBMS (so a lot of information theory app), etc. in languages like C/C++, PHP, Java, Python, R, and Julia. And, of course, a natural curiosity on how...

    https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html

  • U. Luxembourg: Professor of Computer Science – Big Data

    ...rate with existing research groups will be considered as well. The following topics of Big Data are of interest: Big Data Processing, Programming and DBMS Cloud Computing Techniques for Big Data Big Data Quality and Provenance Control Big Data Protection, Integrity and Privacy Machine Learning and...

    https://www.kdnuggets.com/academic/14/11-14-unilu-professor-cs-big-data.html

Refine your search here:

Sign Up

By subscribing you accept KDnuggets Privacy Policy