ProjectPro

JUNE 6, 2025

Kafka is a commit- log/message-processing implementation that stresses data storage and retrieval more, with scalability and data redundancy. It implements an intelligent client/subscriber policy where the consumer is solely responsible for requesting and retrieving data from the broker. What is Kafka?

Kafka 72

Kafka Java Big Data Architecture 72

ProjectPro

JUNE 6, 2025

It provides a data store optimized for ingesting and processing streaming data in real-time and, as such, can be used for real-time data pipelines , stream processing, and data integration at scale. Kafka was initially developed at LinkedIn in 2011 for performing data analytics on user activity in social networking.

Kafka 40

Kafka Hadoop Big Data Data Warehouse 40

ProjectPro

JUNE 6, 2025

Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka. In Hadoop clusters , Spark apps can operate up to 10 times faster on disk. Hadoop, created by Doug Cutting and Michael J.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

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. The two of them started the Hadoop project to build an open-source implementation of Google’s system.

Hadoop 75

Hadoop Cloud Data Storage Machine Learning 75

ProjectPro

JUNE 6, 2025

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 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

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.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. 2008 -Google processed 20 petabytes of data in a single day.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40