Knowledge Hut

DECEMBER 13, 2023

The company was established in 2011, and as of right now, they employ about 250 people. Tata Consultancy Services Tata Consultancy Services is known among the big data companies in India. They have put in a lot of effort to rise to the top among data analyst companies. This tool can process up to 80 terabytes of data.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

ProjectPro

MARCH 14, 2014

Every department of an organization including marketing, finance and HR are now getting direct access to their own data. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. In 2015, big data has evolved beyond the hype. While only 5.4%

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 26, 2015

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1960 - Data warehousing became cheaper.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

JANUARY 24, 2023

Google BigQuery Data Analysis Workflows Google BigQuery Architecture- A Detailed Overview Google BigQuery Datatypes BigQuery Tutorial for Beginners: How To Use BigQuery? Since its public release in 2011, BigQuery has been marketed as a unique analytics cloud data warehouse tool that requires no virtual machines or hardware resources.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

JULY 21, 2021

So, if you want to find the answer to the question - Should I use RabbitMQ vs. Kafka, then we suggest you get an in-depth understanding of the two messaging systems before you decide on a message broker for your next big data project. What is Kafka? When a message is processed successfully, consumers move on to processing new messages.

Kafka 52

Kafka Big Data Java Architecture 52

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. Doug Cutting and Mike Cafarella were working together on a personal project, a web crawler, and read the Google papers.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75