ProjectPro

SEPTEMBER 30, 2014

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Hadoop is extensively talked about as the best platform for ETL because it is considered an all-purpose staging area and landing zone for enterprise big data.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

SEPTEMBER 14, 2016

A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do? Table of Contents Who is a Hadoop Developer?

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 21, 2016

Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs. Need to Offload Data from Mainframes to Hadoop Mainframe legacy systems account for 60% of the global enterprise transactions happening today.70%

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

DECEMBER 7, 2021

It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. ETL is the acronym for Extract, Transform, and Load.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52