Features

Features

• 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

• Data monetization takes three routes to turn data into dollars

  Data monetization is not monolithic. Instead, it takes several forms, according to MIT researcher Barbara Wixom. Each approach has its own unique traits.  Continue Reading

• Data lake management, governance a hands-on job for big data teams

  Deploying big data systems is just the first step for IT and data management teams. The next big challenge is setting up systems and processes for governing data lakes.  Continue Reading

• Data governance tools for Hadoop infiltrate the enterprise

  Be it open source or commercial technology, software designed to ensure proper data governance in Hadoop data lakes is proliferating. But like many big data systems, these tools are still maturing.  Continue Reading

• Big data queries eyed to head off Hadoop performance problems

  Processing in big data systems can slow to a crawl if queries are not properly tuned or workloads not well balanced -- issues that call for careful monitoring of clusters.  Continue Reading

• Hadoop data governance takes hold in companies as data gets 'bigger'

  LinkedIn, Cleveland Clinic and fitness company Beachbody are examples of organizations that have increased their data governance efforts in connection with big data applications.  Continue Reading

• Four data management conferences on big data, governance and more

  It's not too late to consider signing up for data management conferences in June. Here's a quick rundown of four events focused on Hadoop, Spark, data governance and other topics.  Continue Reading