Data integration

Most organizations draw data from multiple sources, including external ones. Data integration combines this data to create unified sets of information for tracking business performance and managing operations. Learn about data integration strategies to ensure information from multiple sources is consistent to meet users' data analysis needs across the organization.

July 28, 2022 28 Jul'22
Truist chief data officer on data management challenges

The CDO of bank holding company Truist outlines what she sees as an optimal data management culture as the demand for data skills continues to grow.
July 22, 2022 22 Jul'22
Apache Beam users detail stream data processing applications

At a Beam conference, users detail how they're using the open source data processing technology at large scale in support of a growing number of data pipelines.
July 19, 2022 19 Jul'22
Confluent update eases multi-cloud event data streaming

The event data streaming vendor's new update introduces features to make it easier to integrate into a multi-cloud data stack deployment with the debut of a Terraform provider.
July 14, 2022 14 Jul'22
StarRocks brings open source OLAP database to the cloud

The open source online analytical transaction processing DBaaS startup takes a different approach to accelerate queries as it moves to the cloud.

Bring yourself up to speed with our introductory content

most significant bit (MSB)

The most significant bit (MSB) is the bit in a multiple-bit binary number with the largest value. This is usually the bit farthest to the left, or the bit transmitted first in a sequence. Continue Reading
data point

A data point is a discrete unit of information. In a general sense, any single fact is a data point. The term data point is roughly equivalent to datum, the singular form of data. Continue Reading
How enterprises can establish an AI-first data strategy

Enterprises looking to mature in their use of AI must focus on the information they're putting into their models. Their models should create trust in their business. Continue Reading

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

Evaluate key Azure Data Factory benefits and limitations

Organizations have plenty of options for data integration tools, some on premises and others in the cloud. Find out which type is the better fit and whether Azure is a good choice. Continue Reading
Best practices and pitfalls of the data pipeline process

Developing an effective data pipeline process is a key step for organizations to manage data sources, flow and quality. A data pipeline also ensures approved data access. Continue Reading
Data architecture vs. information architecture: How they differ

Data architects collect the statistics and information architects put the numbers into context as they work symbiotically to bolster an enterprise's data and business strategies. Continue Reading

Learn to apply best practices and optimize your operations.

Managing databases in a hybrid cloud: 8 key considerations

To manage and monitor hybrid cloud database environments, consider business and application goals plus costs, latency, security, stability, simplicity, tools and technical skills. Continue Reading
6 key components of a successful data strategy

These six elements are essential parts of an enterprise data strategy that will help meet business needs for information when paired with a solid data architecture. Continue Reading
5 principles of a well-designed data architecture

Here are five core data architecture principles to help organizations build a modern architecture that successfully meets their data management and analytics needs. Continue Reading

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

10 big data challenges and how to address them

Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for. Continue Reading
5 data integration challenges and how to overcome them

Automation can solve a lot of data integration problems, but not all of them. Learn about the top five data integration challenges and what else to do to overcome them. Continue Reading
11 real-time data streaming roadblocks and how to overcome them

Experts detail common challenges that IT teams encounter when deploying and managing real-time data streaming platforms and offer advice on how to address them. Continue Reading