ProjectPro

DECEMBER 14, 2021

Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. Table of Contents What is Power BI? What is Power BI Used For? Customer Churn Analysis 2.

BI 52

BI Project Business Intelligence Datasets 52

Knowledge Hut

JANUARY 18, 2024

The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. Although, data science is very different from the traditional conception of computer science. Go Go is a programming language data science which is also referred to as GoLang.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

JANUARY 18, 2024

The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. Although, data science is very different from the traditional conception of computer science. Go Go is a programming language data science which is also referred to as GoLang.

Programming Language 75

Programming Language Data Science Programming Scala 75

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. How much python should you know to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

MAY 2, 2016

But there are so many developments still happening on Hadoop – which makes it the goto technology in open source for data analysis and storage. Hortonworks while presenting the features of Spark, real time data analysis, emphasized that customers want simplicity over speed when it comes to getting value from their data.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

ProjectPro

AUGUST 26, 2015

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D. zettabytes.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40