Features

Features

• 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

• 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

• 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

• Functionality gaps not stopping Spark usage from growing fast

  Organizations aren't letting ongoing Apache Spark development, functionality holes or issues deter them from ramping up usage of the technology. Find out why.  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

• Reltio master data management architecture rides graph analytics wave

  An onslaught of unstructured data, social and otherwise may change the nature of master data management platforms. Reltio Cloud may stand as an indicator.  Continue Reading

• Inside the Informatica Master Data Management portfolio

  Informatica Master Data Management is aimed at helping sales, marketing and customer service teams ensure they're working from the most relevant and accurate data available.  Continue Reading

• Hadoop tool finds low-hanging fruit for migrating data warehouse jobs

  It's still hard to move existing data warehouse jobs to Hadoop, but emerging tools can help. Cloudera Navigator Optimizer is one such Hadoop tool tapped by digital marketing company Conversant.  Continue Reading

• Big data governance steps into IT spotlight as architectures expand

  Effectively governing the data stored in different systems across big data architectures is emerging as one of the keys to a successful deployment of Hadoop and related technologies.  Continue Reading

• Big data architectures face big hurdles with technology integration

  Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy.  Continue Reading

• Users balance Spark support from vendors, access to new features

  Apache Spark users are often faced with a quandary: continue with vendor support or break out on their own to a newer version of the fast-moving open source software with updated features?  Continue Reading