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Recap of Hadoop News for September

ProjectPro

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Broadwayworld.com, September 13,2016.

Hadoop 52
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Python for Data Engineering

Ascend.io

It's specialized for database querying. Interpreter / Compiler Interpreted Executed by a database engine, interpreting and executing SQL statements. Declarative and straightforward for database tasks. Its ecosystem revolves around database management and querying. Primarily tailored for database tasks.

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team. Database-Centric Engineer: The implementation, upkeep, and populating of analytics databases are the responsibilities of a Database-Centric Engineer.

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5 Reasons to Learn Hadoop

ProjectPro

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40
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97 things every data engineer should know

Grouparoo

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.