Big Data

Big Data is everywhere around us and we constantly hear about it promising to disrupt multiple industries. These 8 companies already have their Big Data success stories. Would you like to hear them?

Selecting the right approach to building distributed data pipelines requires finding a good managed cloud computing solution, so we compare Google Cloud Compose with Astronomer.

You have definitely heard about DevOps transformation and the benefits it can bring to your business. You know it all, yes? About cost-reduction due to transition to the cloud platforms, streamlined software delivery and reduced time-to-market due to implementation of CI/CD (Continuous Integration / Continuous Delivery) workflows and a general increase in productivity due to DevOps culture of collaboration and communication between teams.

Big Data Analytics can become the main driver of innovation in the banking industry — and it is actually becoming one. We list several areas where Big Data can help the banks perform better.

Correct use of the Big Data analytics and ML algorithms helps boost the customer satisfaction, secure the bottom line and increase the ROI. Quite opposite, the Big Data misuse results will be awful.

Big Data analytics, machine learning, search engine indexing and many more fields of modern data operations require data crawling and scraping. The point is, they are not the same things!

Successful Big Data mining relies on the correct analytical model, choosing the relevant data sources, receiving worthy results and using them to ensure the positive end-users’ experience.

Reading the streams of numbers is possible only in the movies. In the real world, the businesses have to use data visualization tools to get the trends and patterns out of the raw data.

We recently explored the Big Data visualization principles. Now it’s time to delve deep into Big Data visualization techniques and find out which one is appropriate for various use cases.

Big Data visualization is undoubtedly the most essential part of Big Data analytics. Instead of drowning the user in unstructured data, visualization helps provide the actionable insights.