Knowledge Hut

JUNE 30, 2023

The book focuses on developing scalable and real-time data systems, covering data modeling, processing, and distributed systems. It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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

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. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

FEBRUARY 24, 2016

Do data scientists make a lot of money? 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.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

JANUARY 16, 2024

Machine learning engineers work with data science teams on a diverse range of tasks. Their Data Science training comes in handy in roles that extend from fundamental research and development and designing AI for machine learning to the ongoing maintenance of AI systems. Machine learning produces predictions.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

JULY 8, 2015

World needs better Data Scientists Big data is making waves in the market for quite some time, there are several big data companies that have invested in Hadoop, NoSQL and data warehouses for collecting and storing big data.With open source tools like Apache Hadoop, there are organizations that have invested in millions for storing big data.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 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

You should be data-driven if you want to pursue your career in Business Intelligence, Analytics, or Data Science. We may construct a secure link with data sources to generate visually interactive reports and obtain a combined data view. Compared to Power BI, Tableau integrates much better with R.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

ProjectPro

NOVEMBER 30, 2021

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. Source Code: Customer Churn Prediction Recommended Reading: Is Data Science Hard to Learn? Answer: NO!)

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

DECEMBER 22, 2016

If you are planning to appear for a data analyst job interview, these interview questions for data analysts will help you land a top gig as a data analyst at one of the top tech companies. We have collected a library of solved Data Science use-case code examples that you can find here.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52