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Learn to apply best practices and optimize your operations.

• How data lineage tools boost data governance policies

  Enterprises can bolster data governance efforts by tracking how and when changes are made to data. Expert David Loshin offers advice on what to look for with data lineage products. Continue Reading

• Big data platform broadens place in analytics architecture

  Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. Continue Reading

• The gradual evolution of master data management software

  Master data management kicked off with a bang in 2004, then hit a few roadblocks before data governance was embraced by the industry. Expert Andy Hayler looks back at the MDM journey. Continue Reading

• Mining equipment maker uses BI on Hadoop to dig for data

  BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people. Continue Reading

• What is the best structure for data governance programs?

  The optimal approach to a data governance framework includes a program team, a data governance council and stewards. Expert Anne Marie Smith explains what role each group plays. Continue Reading

• Why data quality tools matter in today's organizations

  Data is everywhere -- but is it good? Data quality tools could answer that question and help save time and money. So why don't more organizations use the technology?Continue Reading

• GDPR checklist items data managers might have overlooked

  Now that the General Data Protection Regulation has been implemented, it's a good time for organizations to make sure they haven't missed any GDPR best practices.Continue Reading

• How to manage data and the GDPR right to be forgotten

  The General Data Protection Regulation requires organizations to delete personally identifiable information if customers ask -- which can be a challenge. Experts offer four tips.Continue Reading

• How graph data modeling can help evaluate database tools

  Mapping data to a graph model can be challenging -- but it can also help an organization create prototypes to evaluate graph database tools in a growing market.Continue Reading

• When to choose an S3 big data environment over HDFS storage

  Selecting a storage service for big data in the cloud can be challenging. Expert David Loshin explains usage patterns that could lead organizations to Amazon Simple Storage Service.Continue Reading

• Four first steps for customer data management

  Forrester's Mike Gualtieri details how to develop a unified plan to manage customer data that gives business users what they need to manage CRM programs.Continue Reading

• Evolving data integration strategies target new analytics needs

  Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address.Continue Reading

• What goes into a customer analytics data integration framework

  Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process.Continue Reading

• Six data risk management steps for GDPR compliance

  By layering data risk management processes into your data governance framework, you can ensure the personally identifiable information your company stores meets GDPR compliance rules.Continue Reading

• CockroachDB database wagered on for scalability boost, GDPR

  CockroachDB is an open source distributed database designed for processing on a global scale, a need that online gambling company Kindred Group hopes it can meet.Continue Reading