Knowledge Hut

DECEMBER 13, 2023

The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

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

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

U-Next

SEPTEMBER 9, 2022

Recent statistics indicate that data engineering is one of the technology fields with the highest growth, with an increase in job postings of over 88.3 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. .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

Rockset

JANUARY 23, 2020

For a great overview on the need for these new database designs, I highly recommend watching the presentation, Stanford Seminar - Big Data is (at least) Four Different Problems , that database guru Michael Stonebraker delivered for Stanford’s Computer Systems Colloquium. Apache Cassandra is one of the most popular NoSQL databases.

Database 40

Database MySQL Kafka NoSQL 40

ProjectPro

JULY 28, 2021

You may land up in either of the following teams as a Data Scientist at Google: Engineering and Design: You will apply advanced analytical models to the data sets to develop the data and business insights. You will work with different teams to provide data-driven business-impact suggestions.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40