Data Integration Blog

Data integration is a complex process that involves consolidating data from several sources. These sources often do not have data stored in a compatible format. So, there’s a strong need for a viable automation tool that organizes data into a common syntax. The Extensible Markup Language (XML) is being touted as the best in fulfilling this very critical requirement.

ETL is not dead. Never will be.

Whether you’re looking to extract data, tables, images, or other content from your PDF files, you need to ensure the tool you are using has the capabilities necessary for accurate and complete extraction.

However, many data integration teams often neglect the staging area while considering complex data integration needs. Especially for the data integration tasks where large volumes of variable data is being processed.

Since Data Virtualization does not require large infrastructure, implementation costs are significantly low. According to Forrester, data virtualization is becoming a critical asset for enterprises looking to overcome big data challenges, today. Moreover, in a 2017 report, Gartner predicted that the organizations embracing data virtualization will be spending 40% less on integrating data from a diverse set of sources as opposed to those who adopt the traditional data unification techniques.

Data extraction helps identify which data is most valuable for attaining the business goal, driving the overall ETL data integration process.

Astera Centerprise is a one-stop solution for all business integration and transformation tasks. Whether you need to migrate data from specific data marts to a data warehouse or implement a thorough Extract, Transform, and Load (ETL) process, it is the tool for the job.

Are you a data-driven business? Do you plan to extract and transform data from numerous sources and then load it into one or more targets? If yes, then Extract, Transform, Load (ETL) is the best possible option.

Whether in the form of reports, ledgers, accounts, or visualized dashboard – every business transaction creates data. Surveys from IDG, show that the average company manages around 162.9 TB of data on an ongoing basis with most respondents expecting their requirements to increase in the coming years. Despite the volume of inputs flowing through enterprise systems, most businesses struggle to make use of their data to improve processes.

Organizations big and small, all over the world, generate copious amounts of data every day. Ideally, all this data should be stored in a single repository, and used by one application that delivers on all business requirements. But in reality, this isn’t the case.

Everything you need to know about data integration, data extraction, data migration, and ETL