Evaluate

Evaluate

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

• Data management roles: Data architect vs. data engineer, others

  Veteran data professional Michael Bowers differentiates between key data management positions, including their salaries and which ones can add the most business value. Continue Reading

• Key components of an effective data virtualization architecture

  Experts break down which elements -- both technical and nontechnical -- are most crucial to successfully deploying and managing a data virtualization architecture. Continue Reading

• Big data containers gain wider appeal in system deployments

  This handbook examines the use of Docker containers in Kubernetes clusters to run big data systems and offers insight on container deployment and management issues. Continue Reading

• Container technologies promise more agility for big data apps

  Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making. Continue Reading

• Cloud database comparison: AWS, Microsoft, Google and Oracle

  IT expert Chris Foot evaluates the leading cloud databases from AWS, Google, Microsoft and Oracle based on their product offerings and migration capabilities. Continue Reading

• Explore data integration products for your organization

  Browse through the current data integration products currently available to help you determine which tool best suits your organization's needs.Continue Reading

• A comparison of open source, real-time data streaming platforms

  With so many real-time data streaming tools, how do you know which is right for your organization? Experts compare Spark Streaming, Kafka Streams, Flink and others.Continue Reading

• Data virtualization tools promote anywhere, anytime data access

  This online handbook examines data virtualization software and how organizations are deploying and using the technology as part of their data integration processes.Continue Reading

• Data virtualization benefits seen in unified views, IT agility

  Through in-place integration, data virtualization platforms can provide wider access to data and simplify security and governance. But they come with some limitations.Continue Reading

• Data virtualization use cases cover more integration tasks

  In a Q&A, Gartner analyst Mark Beyer discusses user adoption of data virtualization software and the wider data integration uses that the technology is now handling.Continue Reading

• Microservices and big data start to get closer

  Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data.Continue Reading

• The evolution of the data preparation process and market

  Organizations have long struggled with inconsistent data and other issues. Expert Andy Hayler explores how that has led to the rise of the data preparation tools market.Continue Reading

• GDPR privacy concerns still brewing on law's first birthday

  The first year of the much-debated EU data protection rule was subdued. High-profile fines for privacy breaches have yet to come, but regulators are starting to take action.Continue Reading

• The main picks for Hadoop distributions on the market

  Check out the current top Hadoop distribution vendors in the market to help you determine which product is best for your company.Continue Reading

• Inside view of Tibco integration architecture planning

  Tibco's acquisitions of well-regarded, small software specialists such as SnappyData are part of a drive toward what it calls 'connected intelligence.' CTO Nelson Petracek provides background.Continue Reading