ProjectPro

JUNE 30, 2016

.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on big data skills gap reveals that about 2/3 rd of big data skill requirements remains unfilled and only 1/3 are met. It’s raining jobs for Hadoop skills in India. Don’t believe us?

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

MARCH 7, 2016

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Learn Hadoop to become a Microsoft Certified Big Data Engineer. Get IBM Big Data Certification in Hadoop and Spark Now!

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

MAY 19, 2015

Thus, professionals must learn Hadoop to ramp up on the big data technology as Hadoop is soon going to be identified as a must have skill by all big data companies. ” A researchreport by Markets and Markets Research anticipates that Hadoop and Big Data Analytics market will reach close to $13.9

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JUNE 17, 2015

The top hiring technology trends for 2015 consists of boom for big data, organizations embracing cloud computing and need for IT security. Yes, you read it right -cloud based big data applications have increased demand for professionals with exemplary big data skills. from the last year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52