In response to the demand from business users for integrated views of the freshest data available, IT teams and DBAs are leveraging new software technology to accelerate and automate data preparation processes. Front-line business users want to have a complete, comprehensive perspective of the data at hand in order to derive new insights and realize the most value from their data. With a high-performance data integration tool, IT teams can accelerate the data preparation process by aggregating, filtering and transforming the data business users need faster and more efficiently.
It's worth first considering the distinction between data integration and data replication. What is data replication? Data replication typically refers to DBMS vendor-provided or third-party technologies used for creating and maintaining copies of database objects and affiliated data. Data replication tools enable firms to improve service availability, distribute and synchronize data across data centers, facilitate zero-downtime database migrations, load data efficiently into operational data stores and data warehouses, and more.
What is data integration? Data integration, on the other hand, refers to the processes of or technologies used for extracting data from various data sources and then filtering, transforming, consolidating, and delivering that data to users. Data integration, which can include replication, allows you to break down the barriers separating your data stores and applications and make different types of data available and usable across the organization while enabling enterprise-wide reporting and analytics.
For organizations hoping to leverage big data, in particular, understanding "what is data integration" is crucial. The success of big data projects depends on how efficiently and effectively firms can collect, process, integrate, and analyze large volumes of data from multiple internal and external sources. And in order to build agile data management architectures capable of supporting the variety and volume of data flowing into the organization today, data-driven firms need tools appropriate for big data integration and cloud data integration: scalable, flexible, robust data integration tools that can ingest various types and formats of data and load data quickly into a wide variety of platforms.
Over the years, Qlik (Attunity) has continued to define and redefine "what is data integration" for the data-driven enterprise. We've developed an innovative data integration platform that is simple, real-time and universal.
Qlik Replicate (formerly Attunity Replicate) is a data ingestion and data replication platform that works seamlessly across on-premises and cloud environments, including all major relational databases, data warehouses, and Hadoop data lakes. Our unique change data capture technology enables real-time data integration—without degrading the performance of your source systems—while our modular, multi-server, multi-threaded architecture supports high-volume data processing, scaling rapidly in response to your changing needs.