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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? You don’t need to archive or clean data before loading.

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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses.

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Deciphering the Data Enigma: Big Data vs Small Data

Knowledge Hut

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

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Top 10 Hadoop Tools to Learn in Big Data Career 2024

Knowledge Hut

It incorporates several analytical tools that help improve the data analytics process. With the help of these tools, analysts can discover new insights into the data. Hadoop helps in data mining, predictive analytics, and ML applications. Why are Hadoop Big Data Tools Needed?

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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

Whether you are a data engineer, BI engineer, data analyst, or an ETL developer, understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil". Well, it surely is!

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures.