Features

Features

• 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

• Panera meets big data challenge of lunchtime operations

  In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies.  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 big data clusters test users on migration, management

  There are good reasons to move big data systems to the cloud, but doing so also poses challenges for IT teams on migrating workloads and then managing clusters and system instances.  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

• Big data systems help companies build new business strategies

  Organizations hungry for more revenue are using Hadoop and other big data technologies to break their existing business molds and pursue new strategies and product offerings.  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

• Bank sees ETL processes evolve from IT to front-line users

  ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.  Continue Reading

• Database security issues shadow distributed data architectures

  As companies distribute data across various platforms, they may need to pay more attention to securing it in databases and other repositories where security is far from baked in.  Continue Reading

• Data management processes take on a new tenor in analyst's view

  Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett.  Continue Reading

• Rising database security threats require attention -- and action

  Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds.  Continue Reading

• Former LinkedIn tech lead now charts Kafka streaming wave at Confluent

  It started as a messaging bus, handling LinkedIn's big data. Now, Kafka underpins wider efforts. In a Q&A, Confluent CTO Neha Narkhede marks Kafka's path to a data streaming platform.  Continue Reading

• Big data teams get proactive on data preparation for analytics users

  Organizations with big data environments are starting to prepare data for analysis before making it available to data scientists and other users, instead of leaving the work to them.  Continue Reading

• DMBOK2 eyes evolving data management best practices, challenges

  In a Q&A, DAMA president Sue Geuens talks about the second edition of the group's DMBOK reference book and how data management trends and processes have changed since the first version.  Continue Reading

• High-level tools help Hadoop data lake go to school

  Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake.  Continue Reading