A change in the Data Game?

Data is considered as the new Carbon. It is perceived as a driver for growth and change. Streams of data have created new infrastructure, new businesses, new monopolies, new politics and crucially new economics. Inferring valuable insights from historical and live data empowers organizations to make informed decisions and stay in the lead. Businesses build data pipelines by implementing ELT(Extraction, Load & Transform) or ETL(Extract, Transform & Load) processes. The exercises that promote the ETL processes may not have changed drastically.

But the trend is changing….

Organizations are moving towards establishing a distributed systems approach to contain and process their data from a traditional and relational structure while gathering live data. In addition to this, combining data science and business intelligence to the infrastructure improves customer insights. On the other hand, service providers and open source technologies are thriving to deliver platforms and frameworks with higher throughput, reduced processing speed for complex computations and more reliable performance to keep up with the trend of faster computations and speedy solution delivery. These frameworks must capacitate the power of data streaming at high volumes and velocity from sources like Industrial IOT devices, geographical and call data.

At a low level, projects develop data pipelines to handle this scenario. The labels for the project intricacies may not have changed since the beginning. However, the components of the system architecture have evolved with time. ETL/ELT processes enable the data movement within these pipelines. Deciding if a process should be ETL or ELT is based on several factors such as intensities of transformation, time of data loading and variety of the data.

The outcome of this process is not just mere figures but information that could potentially make a difference. The goal is to make data-driven decisions that allow business’s services and products to stand out, rectify mistakes and perform better in industry.

If you take a peek into projects hosted by these organizations, you will usually notice a cluster set up either

on premise or in the cloud. There are several services provided by organizations like AWS, Microsoft Azure, Snowflake, Google and Informatica that can be utilized to set up these infrastructures. With the evolving trend, developers are further challenged to advance themselves with new technologies and frameworks to keep up with the drift. The present and future innovations are further influencing the evolution of data processing.

We as iXperts are excited to support your data game change!


Author: Deeksha, iXperts Herenstraat 4 4175 CD Haaften