Technology Blog - Redapt | Data Management and Analytics

Parallel processing refers to an operational process divided into parts and executed simultaneously across different compute resources to help optimize performance and decrease load times. This is...

In today's data-driven world, enterprises deal with vast amounts of data from various sources and formats. Efficiently integrating, processing, and managing this data is critical to achieving...

Data governance is crucial to modern data management. Data governance is the process a company takes to ensure its data isaccurate, available, usable, secure,andmeets compliance standards to ...

No one wants to be set up to fail.

When it comes to platforms for processing large amounts of data, two of the common choices for enterprises are Azure Synapse and Databricks. Since both are solid options, deciding on which to go with...

Here’s a sobering fact: Datacenters consume approximately 200 terawatt-hours (TWh) of electricity. That is nearly 1% of all global electricity consumed.This is a problem. A research firm, Enterprise...

All the major cloud providers have products and services that, while similar, are designed for their specific platforms.

In today’s business environment, simply making smarter decisions is not enough to remain competitive. You need to make smarter decisions faster. That means finding ways to mine large amounts of data...

It can be easy to think of storage infrastructure as static. A simple container for housing data and workloads.

AIOps is an emerging technology that, as its name suggests, is the practice of applying artificial intelligence (AI) to IT operations. 

It combines the characteristics of AI and machine learning (ML)...