Data Management: Page

Why data silos matter: Settling ownership of data issues

Data management is often still seen as an IT task, but that can lead to data silos. Find out why the business should be in charge of its data as part of a governance process.

By Andy Hayler • March 22, 2019

Machine learning approaches gain critical mass for data pros

Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.

By Jack Vaughan • March 21, 2019

Big data management practices gain attention amid risks

Many data professionals have yet to solidify traditional data management practices, but they have a new set of challenges to overcome to ensure data privacy and avoid misuse.

By Jack Vaughan • March 15, 2019

object-oriented database management system (OODBMS)

An object-oriented database management system (OODBMS), sometimes shortened to ODBMS for object database management system, is a database management system (DBMS) that supports the modelling and creation of data as objects.

By Krishna Kumar • March 14, 2019

Aerospike database garners Spark, Kafka connectors

Apache Kafka and Apache Spark connectors ease use of the Aerospike NoSQL data store in high-speed applications such as analytics that are becoming more broadly supported.

By Jack Vaughan • March 12, 2019

Data catalog software takes on data lakes, privacy laws

Data catalogs form a hub for managing enterprise data. New products focus on machine learning and AI add-ons that help automate aspects of data governance.

By Jack Vaughan • March 11, 2019

Augmented data management draws more enterprise interest

With AI and machine learning, organizations are starting to augment their data management. This is changing the way enterprise users capture, govern and integrate data.

By Brian Holak • March 6, 2019

How to navigate the challenges of the data modeling process

Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality.

By George Lawton • Feb. 27, 2019

8 tips to improve the data curation process

A data curation and modeling strategy can ensure accuracy and enhance governance. Experts offer eight best practices for curating data. First, start at the source.

By George Lawton • Feb. 27, 2019

Hazelcast grid tunes for data scalability tradeoffs

An in-memory data grid (IMDG) from Hazelcast lets designers tune subsystems to support consistency over availability, or the reverse, depending on what designers want.

By Jack Vaughan • Feb. 26, 2019

Explore Hadoop distributions to manage big data

Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market.

By David Loshin • Feb. 25, 2019

DataOps is more than DevOps for data, Delphix CTO says

Data operations is young compared to DevOps, but it is increasingly used as part of projects that put data at the center of development. Here, Delphix CTO Eric Schrock makes observations about the trend.

By Jack Vaughan • Feb. 21, 2019

SQL Server auditing best practices: 3 key questions for DBAs

Acing a SQL Server database audit starts with careful monitoring of how sensitive data is accessed and used so you can answer the top questions that auditors ask.

By Lindsay Moore • Feb. 21, 2019

Click-to-launch tools pull apps through Oracle Cloud Infrastructure marketplace

Oracle has made it easier for customers to choose and launch third-party software onto its cloud. Now, the question is whether more businesses will follow.

By Chris Kanaracus • Feb. 15, 2019

Originators form group to boost Presto SQL query engine

The Presto engine arose as an alternative to Hive for big data queries. Now, the Presto Software Foundation has formed to promote the SQL query software's virtues.

By Jack Vaughan • Feb. 14, 2019

5 best practices for managing real-time data integration

Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices.

By George Lawton • Feb. 13, 2019

Web integration platform eases way to machine learning models

StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.

By Jack Vaughan • Feb. 11, 2019

Open source cloud databases battle software ‘strip mining’

Cloud giants like AWS have adopted open source databases, causing Confluent, MongoDB and others to guard their assets the best way they know how: licensing.

By Jack Vaughan • Feb. 1, 2019

Cloud data management, security top of mind for government

Federal government data officers grapple with cloud data management, weighing lower cost and efficiencies against security threats and vendor lock-in.

By Dave Raffo • Feb. 1, 2019

Cloud data warehouse makes inroads as users spurn admin tasks

Overlooked in the run-up to Hadoop, data warehouses have found new life off premises. Cloud-based data warehouses find favor with teams that want to reduce warehouse administration.

By Jack Vaughan • Feb. 1, 2019

5 trends for SQL Server environments as SQL Server 2019 looms

SQL Server is undergoing new changes, as Microsoft prepares to release the 2019 version of the database software. Other changes are also on tap for SQL Server users.

By Michael Otey • Feb. 1, 2019

5 data management infrastructure technologies to evaluate

It's the start of a new year -- is your organization ready to face the data management challenges ahead? Here are five technologies to consider adopting.

By Chris Foot • Jan. 29, 2019

Advantages of graph databases: Easier data modeling, analytics

Graph databases are finding a place in analytics applications at organizations that need to be able to map and understand the connections in large and varied data sets.

By Jack Vaughan • Jan. 23, 2019

New Teradata CEO pursues cloud-based architecture

Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.

By Jack Vaughan • Jan. 22, 2019

Data.gov shutdown shows limits of open data

The Data.gov shutdown shows that, as open data can be turned off, data professionals may need to consider alternative sources for the kinds of data the government offers.

By Jack Vaughan • Jan. 21, 2019