Tag Archives: Big Data

5 Top-Tier Data Engineering Services

Store, organize, and process your data efficiently In the past, a lot of companies who opted for digital transformation produced unimaginable volumes of new types of data. They deployed costly enterprise data warehouses along with data marts to store, process, and analyze it and somehow got success, but, unfortunately, they didn’t achieve distributed, scalable, and […]

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 […]

Why should you move to Cloud for Data Warehousing?

So far technology has been taking us for a spin, we have been drowning under that mass called data, if that is not enough Big Data keeps pulling us 5 ways (volume, velocity, variety, veracity, and value). Not painting a great picture am I, but then a host of Data engineers, Data Scientists, and infrastructure […]

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 […]