Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• Preparing data for analysis helps JTV find predictive gold

  Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications. Continue Reading

• Data preparation steps increase to meet predictive analytics needs

  Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications. Continue Reading

• Fast-moving big data changes data preparation process for analytics

  Increased automation of data pipelines and more flexibility for data scientists through self-service software are taking hold as big data deployments change data preparation practices. Continue Reading

• When predictive analytics models produce false outcomes

  Predictions are very difficult, especially when they're about the future. Whether attributed in part or whole to Nobel physicist Niels Bohr or Hall of Fame catcher Yogi Berra, at no time was that prescient observation more applicable than in ... Continue Reading

• With better scaling, semantic technology knocks on enterprise's door

  Cambridge Semantics CTO Sean Martin says better scalability can lead to richer representations of data. Such advances are behind the renewed interest in semantic technology. Continue Reading

• Big data management and analytics weather tumult -- with more in store

  Cloud had a big impact on big data management and analytics last year. Machine learning and streaming designs will contribute to change in 2017.Continue Reading

• Embedded analytics to feel widest impact of machine learning projects

  Ovum analyst Tony Baer discusses machine learning tools, IoT-driven streaming analytics and Hadoop in the cloud, all of which gained attention in 2016, with more likely in store for 2017.Continue Reading

• Amazon Web Services history set the stage for cloud data grab

  Seeing the future is hard, as a look into Amazon Web Services history can show. Now, though, it's clear that the cloud leader seems ready to take a bigger piece of the data management pie.Continue Reading

• Microsoft SQL Server 2016 relational DBMS overview

  Microsoft SQL Server 2016 for Windows comes in four editions, with updates that include a new stretch database feature, Polybase, dynamic data masking and more.Continue Reading

• A look at the EnterpriseDB Postgres data management platform

  The EDB Postgres platform, which is based on the PostgreSQL open source relational database, is offered as a subscription service for production and nonproduction systems.Continue Reading

• Inside the Amazon DynamoDB NoSQL cloud database as a service

  The DynamoDB NoSQL cloud database supports both document and key-value store models, providing flexibility for development of web, gaming, IoT and many other applications.Continue Reading

• Data trust gap confronts analytics -- time to open the 'black box'

  C-suite honchos sign off on analytics tool purchases and then wonder what they've wrought. But data trust can build if practitioners make the analytics process more transparent, consultant Bill Nowacki says.Continue Reading

• Following a notion for SQL, architect creates NoSQL data modeling notation

  Ted Hills, an enterprise architect at LexisNexis and the author of a recent book on NoSQL data modeling, discusses the ins and outs of database schema design in an era of big data disruption.Continue Reading

• What is the difference between DBMS and RDBMS?

  A relational database management system is the most popular type of database management system for business uses. Find out how RDBMS software differs from DBMS technology in general.Continue Reading

• Spark architecture finds place at center of big data environments

  Spark's draw has gone beyond its batch processing speed. Find out why more than 500 organizations, including Webtrends and Synchronoss Technologies, have turned to the technology.Continue Reading