New & Notable

Get Started

How to interpret the GDPR definition of personal data

The definition of personal data in the EU's GDPR data protection rules is broad enough to include any type of data that can be used to directly or indirectly identify a person.

Get Started

Q&A: GDPR calls for fresh approach to privacy rights

There is stress as the EU's General Data Protection Regulation compliance deadline nears, but the GDPR privacy movement is a good thing for data policies, advises consultant Daragh O Brien.


Google fields TPUs -- LinkedIn fires up Dynamometer

In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer.

Get Started

Hyperledger Fabric smooths out blockchain's rough side

Blockchain arose from bitcoin, but it's looking to find a place in the enterprise. Frameworks like Hyperledger Fabric could smooth out the technology's rough side for business uses.

Topics Covered

Have a question for an expert?

Please add a title for your question

Get answers from your peers on your most technical Data Management/Data Warehousing challenges.

You will be able to add details on the next page.

Find Solutions For Your Project

Pro+ Data Management Downloads

View All

Data Management/Data Warehousing Basics

View All Get Started


Videos, Podcasts and Photo Stories

Sections from across SearchDataManagement

  • News

    View All
  • Hadoop framework

    Stream processing meets GDPR

    StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.

  • Database management system (DBMS) software and technology

    MongoDB 4.0 expands ACID support for documents

    MongoDB is taking a deeper step into SQL-style processing waters with a 4.0 update that brings increased support for ACID-compliant transactions to its NoSQL database.

  • Hadoop framework

    Hadoop 3.0 deepens potential cloud, machine learning reach

    Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.