Data Management: Page

How graph data modeling can help evaluate database tools

Mapping data to a graph model can be challenging, but these steps can help you create prototype applications -- which then can aid in evaluating graph databases.

By David Loshin • July 13, 2018

eHarmony hooks up with Redis NoSQL database for hot storage

The Redis key-value store finds use in a system to match would-be romantic partners on dating site eHarmony, which employs a variety of NoSQL databases to make love click online.

By Jack Vaughan • July 9, 2018

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.

By David Loshin • July 6, 2018

The benefits of columnar storage and the Parquet file format

What's behind Apache Parquet's growing popularity? It may be the file format's columnar storage orientation, which leads to benefits including improved query performance.

By David Loshin • July 2, 2018

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.

By Mike Gualtieri, Forrester Research • June 28, 2018

MongoDB 4.0, Stitch aim to grow NoSQL apps in cloud, on-prem

NoSQL vendor MongoDB upgraded its database software with ACID support, while also releasing a serverless platform intended to simplify application development.

By Craig Stedman • June 27, 2018

Three factors for protecting sensitive data in the GDPR era

Data privacy is a hot topic nowadays thanks to GDPR and the Facebook data scandal. But how do data security, access control and data protection differ?

By David Loshin • June 27, 2018

What’s the difference between DDL and DML?

What's the difference between DDL and DML? Get the answer and see examples of data manipulation language and data definition language commands for SQL databases.

By Bridget Botelho • June 26, 2018

Hadoop data lake architecture tests IT on data integration

Hortonworks users talk about building Hadoop data lakes to support new applications -- and the challenges their teams face on ingesting and refining data for end users.

By Jack Vaughan • June 25, 2018

Hortonworks cloud options grow via Google, Microsoft, IBM

Hortonworks now supports Google Cloud Storage and has also broadened cloud deals with Microsoft and IBM, aiming to increase cloud uses of its big data platform.

By Jack Vaughan • June 18, 2018

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.

By David Loshin • June 18, 2018

Data integration techniques to help keep BI data consistent

Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem.

By David Loshin • June 18, 2018

Google Cloud data lake fuels cloud payment processing flow

To create a cloud payment processing system, Global Payments first had to deploy a data lake in the Google Cloud. Getting quick user feedback was another early step.

By Jack Vaughan • June 7, 2018

Why Spark DataFrame, lazy evaluation models outpace MapReduce

Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce.

By David Loshin • June 5, 2018

GDPR compliance requirements drive new winds of data privacy

Hello, GDPR. May 25 is the witching hour for enforcement of the EU's much-discussed GDPR compliance requirements -- and it's a harbinger of more changes to come.

By Jack Vaughan • May 24, 2018

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.

By David Loshin • May 24, 2018

AP uses data.world platform to spread data journalism

Data journalism reporters need tools that deliver quick context for stories on deadline. A data collaboration platform from data.world helps the Associated Press meet such needs.

By Jack Vaughan • May 22, 2018

GPU databases bring greater parallelism to big data processing

GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing.

By Jack Vaughan • May 11, 2018

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.

By Jack Vaughan • May 8, 2018

Why running SQL Server on Docker is no longer frowned upon

Microsoft now lets SQL Server databases run in Docker containers, a capability that depends on using volumes to store data in a persistent way outside the containers.

By Brien Posey • April 19, 2018

What the Microsoft GDPR compliance toolkit offers for SQL Server

The set of GDPR compliance tools that Microsoft offers for SQL Server is designed to make it easier for users of the database software to adhere to the EU's new data rules.

By Lindsay Moore • April 18, 2018

GDPR rules can spur broader steps to protect sensitive data

Companies need to make compliance with GDPR's requirements on managing personal data a priority, but they should also work to implement wider data protection efforts in the future.

By David Loshin • April 16, 2018

Data integrity protection spurs greater security spending

As hacking, ransomware and malware attacks mount, companies place big data protection and integrity among the primary reasons for increased spending on security software.

By Ron Karjian • April 9, 2018

GDPR requirements put focus on data ethics, governance

The General Data Protection Regulation makes privacy paramount and reinforces the practice of good data governance. Will a new focus on data ethics be an important side effect?

By Jack Vaughan • April 9, 2018

U.S. data protection laws fall short in the age of big data

Data breaches and a history of data abuse led the EU to adopt GDPR, but it might take massive scale data security crises for the U.S. to legislate similar data protection laws.

By Bridget Botelho • April 9, 2018