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. The company can use demand forecasts as input to an allocation tool.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

APRIL 1, 2016

eWeek.com Syncsort has made it easy for mainframe data to work in Hadoop and Spark by upgrading its DMX-h data integration software. Syncsort has delivered this because some of the companies in industries like financial services, banking, and insurance needed to maintain their mainframe data in native format.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

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

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 6, 2015

According to IDC, the amount of data will increase by 20 times - between 2010 and 2020, with 77% of the data relevant to organizations being unstructured. 81% of the organizations say that Big Data is a top 5 IT priority. Industries are developing predictive models as a top priority by leveraging big data analytics.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

FEBRUARY 24, 2016

According to LinkedIn, the top 5 industries for data scientists in the US are Consumer Goods, Transportation, Recreation, IT Services, and Real Estate. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40