ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

APRIL 2, 2018

News on Hadoop - March 2018 Kyvos Insights to Host Session "BI on Big Data - With Instant Response Times" at the Gartner Data and Analytics Summit 2018.PRNewswire.com, Source : [link] ) The data lake continues to grow deeper and wider in the cloud era.Information-age.com, March 5 , 2018.

Hadoop 40

Hadoop Data Lake Relational Database Big Data 40

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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

Knowledge Hut

JUNE 25, 2024

Python for Data Analysis - Data Wrangling with Pandas, NumPy, and IPython The book "Python for Data Analysis - Data Wrangling with Pandas, NumPy, and IPython'' by Wes McKinney was published by O'Reilly Media, Inc. This book is rated 4.16 out of 5 stars on the GoodReads website. 5 stars on GoodReads.

Data Science 97

Data Science Python Hadoop Machine Learning 97

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Kafka was mainly developed to make working with Hadoop easier. True that it is eliminating the limitations of Hadoop – but it will not eliminate Hadoop itself. Apache Kafka attempts to solve this issue.

Kafka 40

Kafka Systems Hadoop Big Data 40

Snowflake

APRIL 5, 2023

Objectif : garantir la disponibilité, les performances et la cohérence des data au sein de l’ensemble de ses filiales. Pour les équipes Peaksys enfin, les développements sont plus simples et plus rapides : “en venant du monde Hadoop, l’usage de SQL dans Snowflake nous simplifie la tâche,” rappelle le Directeur Data.

Hadoop 52

Hadoop Algorithm Business Intelligence SQL 52

Zalando Engineering

JUNE 6, 2016

Big Data Engineer The term Big Data was first coined in the 1990s by John Mashey , referring to a large set of data that is almost impossible to manage using traditional business intelligence tools. We take a look at the top five positions that have yet to reach their teenage years in the modern technological age.

Big Data 40

Big Data Programming Language MongoDB NoSQL 40

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ?

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

MAY 13, 2015

MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000.This says Andrew Erlichson, Vice President of Education & Cloud services at MongoDB.

NoSQL 40

NoSQL MongoDB Certification Database 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 Cloud Storage 52

Monte Carlo

JUNE 14, 2023

For data engineers, good data pipeline architecture is critical to solving the 5 v’s posed by big data: volume, velocity, veracity, variety, and value. Sigma Computing – A BI platform that delivers cloud-scale analytics with the simplicity of a spreadsheet and familiar data visualizations.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

JUNE 29, 2021

Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! In that case, this blog on the most popular 100+ Apache Kafka interview questions and answers will help you nail your next big data job interview. Easy to scale.

Kafka 40

Kafka Big Data Bytes Java 40

Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. Cloudera was started in 2008, and HortonWorks started in 2011. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. They eventually merged in 2012.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

ProjectPro

MARCH 16, 2015

There is a lot of buzz around big data making the world a better place and the best example to understand this is analysing the uses of big data in healthcare industry. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40