Knowledge Hut

JANUARY 19, 2024

Programming Languages Delving into programming languages such as R and Python, along with exposure to database languages like SQL. Big Data Technologies Handling large-scale datasets is a challenge addressed by Big Data Technologies.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. Owing to the rise in the usage of Big Data technologies, the market is witnessing a sharp increase in jobs in Big Data. The adoption of cloud databases and technologies has further led to the expansion in data volumes.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

MARCH 7, 2016

In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles. Learn Hadoop to become a Microsoft Certified Big Data Engineer. Table of Contents Why you should take a big data certification?

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

FEBRUARY 19, 2016

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

Knowledge Hut

JANUARY 16, 2024

With so much happening around machine learning, it is no surprise that any enthusiast who is keen on shaping their career in software programming and technology would prefer machine learning as a foundation to their career. Programming Languages for Machine Learning Machine learning engineers need to code to train machines.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

JULY 8, 2015

Technologies change, upgrade and become obsolete with time. Technology has the characteristics of ‘Time’ – it waits for no one. One of the hardest challenges for IT professionals is to keep themselves updated with the latest software technologies that they are asked to implement in at a moment’s notice.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. The salary of a data scientist usually increases in the first few years.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Knowledge Hut

JANUARY 24, 2024

Data connectors: Numerous data connections are supported by Tableau, including those for Dropbox, SQL Server, Salesforce, Google Sheets, Presto, Hadoop, Amazon Athena, and Cloudera. It can also connect to the R programming language using Microsoft's Revolution Analysis but is only available to enterprise-level users.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

ProjectPro

JUNE 17, 2015

To maintain a competitive edge in the market, organizations, strives to maintain IT staff that is well-honed with the latest tools and technologies so that they business does not suffer from skills gap. The top hiring technology trends for 2015 consists of boom for big data, organizations embracing cloud computing and need for IT security.

Cloud Computing 40

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

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

NOVEMBER 30, 2021

Up-to-date knowledge of new technologies and methodologies. You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. Excellent verbal and written communication.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights. We add new use-cases every week.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52