ProjectPro

JUNE 6, 2025

This blog will help you determine which data analysis tool best fits your organization by exploring the top data analysis tools in the market with their key features, pros, and cons. The vast number of technologies available makes it challenging to start working in data analytics. Power BI 4. Google Data Studio 10.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Organizations are currently using big data as a beneficial approach to gain a competitive edge over their competitors by correctly leveraging the data. Businesses are estimated to have invested $215 billion in the last few years in building big data and business analytics solutions. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools SQL Big Data 40

ProjectPro

JUNE 6, 2015

Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. It replaced its traditional BI structure by integrating big data and Hadoop."-April

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

JUNE 6, 2025

Data is everywhere, and it is growing rapidly with each passing day. Consequently, organizations increasingly rely on data analysts to help them make informed decisions and gain a competitive edge. The best data analytics professionals from the industry prepare the question paper for the examination held by the ICCP.

Certification 40

Certification Data Mining Business Analyst BI 40

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Knowledge Hut

DECEMBER 26, 2023

What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. The average salary of a Data Engineer at Google is $127,100.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98