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CData Blog
CData Sync Expands to Support PostgreSQL Change Data Capture
The CData Sync compatibility roster is expanding support replication across more of your data-driven workflows. PostgreSQL is the latest to join SQL Server and MySQL in leveraging CData Sync’s Change Data Capture (CDC) capabilities.
What is Data Integration? How it Works and Examples
Data integration is the process of uniting data from multiple sources into a single source of information. This data management solution allows organizations to move and transform raw data from disparate applications and systems to a data...
CData is a Premier Snowflake Technology Partner for ETL
CData is a Premier Snowflake Technology Partner for ETL (extract, transform, load) tasks. As we continue to grow and innovate across our connectivity platform, we're bringing even more value to our customers who use Snowflake.
Support for Change Data Capture-based Data Replication
Change Data Capture (CDC) is a proven data integration pattern to track when and which changes occur in data, then alert other systems services that must respond to those changes. Change data capture helps maintain consistency and functionality across all systems that rely on data. Many d...
New CData Sync Clustering Boosts Pipeline Performance
Data is everywhere, and more of it is hosted in the cloud, locked behind APIs than ever before. Over 24,000 public APIs are available today, with over a thousand added each year. These APIs represent an application or data set organizations use to maintain their business and drive growth....
Cloud Data Crossing the Firewall: Connect Cloud, Hybrid Cloud, and On-Premises Data
With CData Sync, you no longer have to struggle with firewall rules, VPNs, or agents to integrate data across your hybrid applications. Simply install CData Sync wherever you need it, on-premises or in the cloud without the help of IT, and you can move the right data quickly and easily wherever you need it.
Reverse ETL with Salesforce and SQL Server
As data usage grows many organizations turn to data warehousing in order to consolidate data for analytics, reporting, governance and decision support. Modern warehousing solutions are flexible, faster, more scalable, and more economical than ever before. But data warehousing is not witho...
ETL vs. ELT: Which is better? 6 key differences
To bring their diffuse data into their data warehouse, organizations typically leverage an ETL or ELT process using a dedicated data pipeline. In this article, we define and compare the six main differences between ETL and ELT processes to help you determine which is right in various data integration scenarios.
World of Data Series Part 3: Analyzing and Actioning Data
Access to accurate data is only one part of the equation to making that data actionable. Only when analytics is at the forefront of your strategy will you be able to drive business outcomes using your data The ability to make sense of the data you have on hand and turn it into actionable ...