Data Management: Page

IT teams take big data security issues into their own hands

Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves.

By Craig Stedman • April 9, 2018

Information architecture applied to big data streaming, AI

New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI.

By Jack Vaughan • April 9, 2018

Cloud workloads, data lakes challenge information architecture

Data management options are expanding; cloud workloads are an example. That means changing your approach to information architecture, says data management expert William McKnight.

By Jack Vaughan • April 6, 2018

GDPR mandates push data quality improvement into IT spotlight

Data quality issues cost companies significant amounts of money in lost revenue and added expenses, and their impact will only get bigger when the EU starts enforcing its GDPR law.

By Andy Hayler • March 30, 2018

Kubernetes gains momentum in big data implementation process

Big data vendors and users are looking to Kubernetes-managed containers to help accelerate deployments and enable more flexible use of computing resources.

By Craig Stedman • March 21, 2018

Streaming tool from StreamSets eyes data in motion for 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.

By Jack Vaughan • March 15, 2018

What does the GDPR definition of personal data include?

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.

By Bridget Botelho • March 14, 2018

Data expert: GDPR deadline is an opportunity, not a burden

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.

By Jack Vaughan • Feb. 27, 2018

TensorFlow

TensorFlow is an open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads.

By Jack Vaughan • Feb. 21, 2018

Hyperledger Fabric offers path to enterprise blockchain future

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.

By Jack Vaughan • Feb. 16, 2018

MongoDB 4.0 takes ACID transactions to multi-document level

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.

By Jack Vaughan • Feb. 16, 2018

Data analytics architecture must break down higher ed silos

Siloed data isn't only a problem for businesses. It's also a big issue for many large universities -- one that their data infrastructures need to resolve for effective analytics.

By David Teich • Feb. 13, 2018

Data catalog software takes open data initiative to the streets

Data catalog software from Alation helped San Diego's chief data officer open up the city's data to residents, as well as city planners and other government workers.

By Jack Vaughan • Feb. 6, 2018

Data managers should study up on GPU deep learning

As GPU deep learning becomes more common, data managers will have to navigate several new layers of complexity in their quest to build or buy suitable data infrastructure.

By Jack Vaughan • Feb. 2, 2018

Three ways to turn old files into Hadoop data sets in a data lake

Hadoop data lakes offer a new home for legacy data that still has analytical value. But there are different ways to convert the data for use in Hadoop depending on your analytics needs.

By David Loshin • Feb. 1, 2018

Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs

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.

By Jack Vaughan • Jan. 3, 2018

How SQL Server containers in Docker can ease database deployment

Docker containers can make the SQL Server deployment process more efficient and flexible. Here's what they are and how to get started on creating containers for SQL Server databases.

By Robert Sheldon • Dec. 21, 2017

Dimension tables vs. fact tables: What’s the difference?

Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold different types of data.

By David Loshin • Oct. 27, 2017

NewSQL databases rise anew -- MemSQL, Spanner among contenders

The NewSQL database was almost hidden when Hadoop and NoSQL arose. Now, as more big data teams move toward production uses, MemSQL, Cloud Spanner and similar products may get a second look.

By Jack Vaughan • Oct. 19, 2017

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.

By Jack Vaughan • Sept. 26, 2017

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.

By Jack Vaughan • Aug. 21, 2017

Chief data officer jobs call for nurturing data ethos in companies

In many organizations, chief data officer jobs centered on defense against risk are giving way to ones emphasizing innovation. To do so, CDOs must nurture a data culture, MIT panelists said.

By Jack Vaughan • July 24, 2017

Quiz: What’s your IQ on data lake implementation and management?

A data lake can provide lots of analytics value to an organization. This quiz can tell you if you know what it takes to deploy and manage one; it also contains info to help boost your knowledge.

By Tréa Lavery • July 11, 2017

Operational data store vs. data warehouse: How do they differ?

Operational data stores and data warehouses both store operational data, but the similarities between them end there -- and they both have a role to play in analytics architectures.

By Craig Stedman • May 17, 2017

Microsoft SQL Server Management Studio (SSMS)

Microsoft SQL Server Management Studio (SSMS) is an integrated environment to manage a SQL Server infrastructure.

By Adam Hughes, Jessica Sirkin • Feb. 20, 2017