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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. RDBMS is a part of system software used to create and manage databases based on the relational model.

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Data Engineering Glossary

Silectis

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Cassandra A database built by the Apache Foundation. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. In many cases, companies choose two-tier architectures, in which source data is first extracted and loaded into a data lake and then undergoes several ETLs to reach purpose-built data warehouses and/or data marts.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.) No wonder only 0.5 percent of this potentially high-valued asset is being used.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System.

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

With Big Data becoming a big deal in any industry, all tools provide a scalable data integration architecture and utilize powerful parallel processing technology for better scalability and performance. The product integrates with other Oracle applications including Oracle GoldenGate, Oracle Fusion Middleware, Oracle Database, and others.