Evaluate

Evaluate

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

• Evaluate the features of data integration tools and software

  Before you evaluate and select data integration tools and software, assess which must-have, should-have and nice-to-have features match your organization's needs. Continue Reading

• Data integration platforms take users beyond ETL software

  Discover how commercial data integration platforms help organizations manage and simplify the process of combining and sharing their increasing volumes of data. Continue Reading

• Google Cloud Spanner overview: 4 features to consider

  Cloud Spanner's ability to offer data consistency and horizontal scalability has helped the relational database service gain traction. Learn more about its architecture. Continue Reading

• Augmented data management draws more enterprise interest

  With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data. Continue Reading

• Explore Hadoop distributions to manage big data

  Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market. Continue Reading

• Web integration platform eases way to machine learning models

  StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.Continue Reading

• Cloud data warehouse makes inroads as users spurn admin tasks

  Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration.Continue Reading

• 5 data management infrastructure technologies to evaluate

  It's the start of a new year -- is your organization ready to face the data management challenges ahead? Here are five technologies to consider adopting.Continue Reading

• Graph database use cases reveal relationships in data sets

  Graph databases specialize in mapping relationships in data sets, particularly complex ones. We explore how they work and the applications they're suited for.Continue Reading

• Advantages of graph databases: Easier data modeling, analytics

  Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets.Continue Reading

• Open source support was central to 2018 data deals

  Mergers and acquisitions unsettled the big data status quo in 2018. Open source support made these couplings a bit different than those of the past, Talking Data podcasters said.Continue Reading

• Datawatch Swarm on path to combine data prep, analytics

  Datawatch plans to add analytics and data visualization tools to its Swarm data preparation platform, starting with integration capabilities in a Swarm 2.2 release.Continue Reading

• FaunaDB distributed cloud database hunts transactional NoSQL

  Startup Fauna has built a "relational NoSQL" database for distributed transaction processing. Data consistency and speedy builds attracted early user ShiftX.Continue Reading

• Don't let blockchain complexity bog down business applications

  Enterprise blockchain applications that run in a controlled environment don't require some of the components of cryptocurrency networks, explains expert David Teich.Continue Reading

• Amazon Timestream, QLDB aim to grab more DBMS users for AWS

  Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.Continue Reading