Evaluate

Evaluate

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

• Why Spark DataFrame, lazy evaluation models outpace MapReduce

  Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce. Continue Reading

• Starburst finds new worlds to conquer with SQL query engine

  Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still. Continue Reading

• GDPR compliance requirements drive new winds of data privacy

  Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come. Continue Reading

• AP uses data collaboration platform to spread data journalism

  Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from data.world helps the Associated Press meet such needs. Continue Reading

• GPU databases bring greater parallelism to big data processing

  GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing. Continue Reading

• What are the main features of data catalog software?

  Data catalogs serve as data portals for self-service business analytics users. Learn how the data is curated, what capabilities are included, the market vendors and the benefits.Continue Reading

• Data integrity protection spurs greater security spending

  As hacking, ransomware and malware attacks mount, companies place big data protection and integrity among the primary reasons for increased spending on security software.Continue Reading

• GDPR requirements put focus on data ethics, governance

  The General Data Protection Regulation makes privacy paramount and reinforces the practice of good data governance. Will a new focus on data ethics be an important side effect?Continue Reading

• U.S. data protection laws fall short in the age of big data

  Data breaches and a history of data abuse led the EU to adopt GDPR, but it might take massive scale data security crises for the U.S. to legislate similar data protection laws.Continue Reading

• Kubernetes gains momentum in big data implementation process

  Big data vendors and users are looking to Kubernetes-managed containers to help accelerate system and application deployments and enable more flexible use of computing resources.Continue Reading

• Expert: For BI, you must know the data integration process

  Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends.Continue Reading

• Amazon Neptune database validates graph technology, rivals say

  Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say.Continue Reading

• NewSQL databases rise anew -- MemSQL, Spanner among contenders

  The NewSQL database was almost hidden when Hadoop and NoSQL arose. Now, as more big data teams move toward production uses, MemSQL, Cloud Spanner and similar products may get a second look.Continue Reading

• Cloud database services get stronger push from Microsoft, Oracle

  Using cloud databases is now more a matter of when than if at many companies. There's also the question of how, as Microsoft, Oracle and AWS square off against one another.Continue Reading

• Machine learning algorithms meet data governance

  Machine learning algorithms may change computing, but they're a bit of a black box. Still, there are ways to tame them with flexible data governance, according to tech startup exec Andrew Burt.Continue Reading