Knowledge Hut

JULY 27, 2023

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. A Master's or Ph.D.

Hadoop 52

Hadoop Programming Language Banking Scala 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

SEPTEMBER 26, 2021

You shall have advanced programming skills in either programming languages, such as Python, R, Java, C++, C#, and others. Algorithms and Data Structures: You should understand your organization’s data structures and data functions. Big Data technologies are now being used in multiple industries and business sectors.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. It distinguishes data on semantics.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JANUARY 19, 2022

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

APRIL 11, 2016

” or “What are the various big data tools in the Hadoop stack that you have worked with?”- How big data problems are solved in retail sector? What is the largest amount of data that you have handled? What are sinks and sources in Apache Flume when working with Twitter data?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

JUNE 30, 2016

Major industries driving demand for analytics talent in India are - e-Commerce & Retail , Insurance, Finance, Manufacturing and IT with e-Commerce being the highest paymaster for Hadoop salaries in India. If you are looking for big leap in your career, then this is the best time to master big data skills.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40