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Top 15 Data Analysis Tools To Become a Data Wizard in 2025

ProjectPro

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.

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How to Become A Data Modeler in 2025?

ProjectPro

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?

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Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

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

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Data Analyst Certifications for Advancing Your Career in 2025

ProjectPro

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.

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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

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
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Evolution of the Cloud Data Platform: From Google to Ascend

Ascend.io

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
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How to Become a Data Engineer in 2024?

Knowledge Hut

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.