Data management strategies

Data is a corporate asset that helps make more-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs. Learn data management strategies to ensure IT systems run business applications and provide analytical information that drives decision-making and strategic planning by corporate executives, business managers and end users.

September 26, 2022 26 Sep'22
Starburst adds tools to enhance its data mesh capabilities

The vendor added data product and data set sharing features along with enhanced governance capabilities aimed at enabling organizations to decentralize their analytics operations.
September 23, 2022 23 Sep'22
How Lufthansa is flying its data warehouse to the cloud

Moving from an on-premises data system to the cloud can be a complex operation. Lufthansa is looking to remove some of the complexity with virtualization.
September 21, 2022 21 Sep'22
CockroachDB serverless database debuts with migration tools

After a year in preview, the database vendor is making its serverless offering generally available. It provides a new production-ready database for distributed SQL.
September 20, 2022 20 Sep'22
Imply advances Apache Druid real-time analytics database

The database vendor is continuing its effort to evolve the Apache Druid database, developing new capabilities to help users more easily load and transform data.

Bring yourself up to speed with our introductory content

table

A table in computer programming is a data structure used to organize information, just as it is on paper. Continue Reading
How to build an effective DataOps team

More organizations are turning to DataOps to bolster their data management operations. Learn how to build a team with the right people to ensure DataOps success. Continue Reading
data integrity

Data integrity is the assurance that digital information is uncorrupted and can only be accessed or modified by those authorized to do so. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

The future of DataOps trends in 2023 and beyond

DataOps is a growing tool for organizations looking to efficiently distribute accurate data to users. Learn the DataOps trends teams must understand as it evolves. Continue Reading
7 data quality best practices to improve data performance

Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. These seven data quality best practices can help improve performance. Continue Reading
Cloud database comparison: AWS, Microsoft, Google and Oracle

Here's a look at the rival cloud database offerings from AWS, Google, Microsoft and Oracle based on their product breadth, migration capabilities and pricing models. Continue Reading

Learn to apply best practices and optimize your operations.

Where does security fit into a business continuity plan?

Cybersecurity breaches are a prominent threat to business continuity today. Make sure your security and BCDR teams are in sync to recover data in a crisis. Continue Reading
Should you run your database on premises or in the cloud?

Use of cloud databases is surging, but there are still reasons for on-premises ones. Here's a comparison of cloud and local database architectures to help you choose. Continue Reading
Top 10 customer data privacy best practices

To ensure customer data remains secure and inaccessible to bad actors, organizations should implement best practices such as frequent data audits and employee trainings. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

The modern data platform drives data-centric organizations

IT leads the modern data platform, functioning as the conduit, efficiently delivering the correct data to the right users, to empower data-driven decision-making in organizations. Continue Reading
Data lake governance: Benefits, challenges and getting started

A data lake that isn't well governed may become more of a swamp. Here are key benefits and challenges of data governance in a data lake, plus initial steps to take. Continue Reading
8 proactive steps to improve data quality

Here are eight steps to take to improve your organization's data quality in a proactive way, before data errors and other issues cause business problems. Continue Reading