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

U-Next

SEPTEMBER 9, 2022

The IT, finance, insurance, and related professional services account for 5% of all data analytics and Data Science positions, according to the most recent reports from Forbes. . You need to be skilled at using tools like Spark, Hadoop, and NoSQL. For a career in Data Sciences, not all of it is necessary.

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

ProjectPro

JULY 28, 2021

Google-tech Professional Services: You will work on technical optimizations to assist the clients in achieving their business objectives. You can expect interview questions from various technologies and fields, such as Statistics, Python, SQL, A/B Testing, Machine Learning , Big Data, NoSQL , etc.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40