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Sqoop vs. Flume Battle of the Hadoop ETL tools

ProjectPro

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Thus, why not take the lead and prepare yourself to tackle any situation in the future?

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The Role of an AI Data Quality Analyst

Monte Carlo

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Tools : Familiarity with data validation tools, data wrangling tools like Pandas , and platforms such as AWS , Google Cloud , or Azure.

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Difference between Pig and Hive-The Two Key Components of Hadoop Ecosystem

ProjectPro

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not. 11) Pig supports Avro whereas Hive does not.

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Hadoop Developer Job Responsibilities Explained

ProjectPro

The better a hadoop developer knows the data, the better they know what kind of results are possible with that amount of data. Concisely, a hadoop developer plays with the data, transforms it, decodes it and ensure that it is not destroyed. Understanding the usage of various data visualizations tools like Tableau, Qlikview, etc.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

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Hive vs.HBase–Different Technologies that work Better Together

ProjectPro

Hive and HBase are both data stores for storing unstructured data. HBase is a NoSQL database used for real-time data streaming whereas Hive is not ideally a database but a MapReduce based SQL engine that runs on top of hadoop. Ideally comparing Hive vs. Flipboard uses HBase to personalize the content feed for its users.