Category Archives: Big Data

Data Processing with Apache Spark

Spark has emerged as a favorite for analytics, especially those that can handle massive volumes of data as well as provide high performance compared to any other conventional database engines. Spark SQL allows users to formulate their complex business requirements to Spark by using the familiar language of SQL. So, in this blog, we will […]

Real Time Analytics Using Spark With Cosmos DB Connector

How can you integrate Spark & Cosmos DB? This blog helps you understand how Spark and Cosmos DB can be integrated allowing Spark to fully take advantage of Cosmos DB to run real-time analytics directly on petabytes of operational data! High-Level Architecture With the Spark Connector for Azure Cosmos DB, data is run in parallel […]

MongoDB to Redshift- Data Migration

We will cover various approaches used to perform data migration from MongoDB to Redshift in this article. A Brief Overview of MongoDB and Redshift MongoDB is an open source NoSQL database which stores data in JSON format using a document-oriented data model. Data fields can vary by document. MongoDB isn’t associated with any specific data […]

How to utilize the power of Big Data in Manufacturing

Transforming manufacturing with Big Data and Data Engineering As part of the manufacturing industry, everyone you seek a solution from always has two questions: What is it that you are battling? (Well, simply put it could be that your operational efficiency has taken a hit, or your products seem to be getting returned often, or […]

Why it is time to think deep about Deep Retail

Introduction So yes, we all agree that the pandemic threw spanner in the works. And this year has seen the largest number of retail store closures. Being a brick-and-mortar company just does not seem to cut it anymore, you also need to have technology in the mix. As technologies change by the passing hour, they […]