article thumbnail

5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Mention about ETL and eyes glaze over Hadoop as a logical platform for data preparation and transformation as it allows them to manage huge volume, variety, and velocity of data flawlessly.

Hadoop 52
article thumbnail

Understanding the Power of Hadoop-as-a-Service

ProjectPro

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. The challenges in maintaining a well-run Hadoop environment has led to the growth of Hadoop-as-a-Service (HDaaS) market. from 2014-2019.

Hadoop 40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

article thumbnail

R Hadoop – A perfect match for Big Data

ProjectPro

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40
article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

article thumbnail

Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

Apache Hadoop. Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006. Hadoop architecture layers. As you can see, the Hadoop ecosystem consists of many components. Source: phoenixNAP. NoSQL databases. Apache Kafka.

article thumbnail

How to Become a Big Data Engineer in 2023

ProjectPro

As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today. You will get to learn about data storage and management with lessons on Big Data tools.