6 Tips For Big Data on Cloud - Learn Big Data & Cloud Computing

Опубликовано: 26 Май 2026
на канале: Nandan Priyadarshi
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6 Tips For Big Data on Cloud - Learn Big Data & Cloud Computing

Hello and Welcome to My Learning Channel. In this video, I am going to discuss 6 tips and useful points which indicate how is it easy and best to Implement Big Data on Clouds
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This video is for all professionals who are familiar with Apache Hadoop, Apache Spark, and Apache Hive.
In this video you will get the below details:-
1. Introduction to Apache Hadoop
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.
Apache Hadoop contains different modules such as:-
• Hadoop Distributed File System [HDFS]
• Hadoop Yarn
• Hadoop Map Reduce

2. Introduction to Apache Spark
Apache Spark™ is a fast and general engine for large-scale data processing.
Apache Spark well known for below:-
• Speed - Run program up to 100X faster than Hadoop Map-reduce.
• Ease of Use - Write Application in JAVA, Python etc.
• Generality - Combine SQL, Streaming and Complex analysis.
• Runs Everywhere - compatible run on Hadoop, Mesos, Standalone, Cassandra etc.

3. Introduction to Apache Hive
The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL.
A command line tool and JDBC driver are provided to connect users to Hive.
Apache Hive is an open source project run by volunteers at the Apache Software Foundation.

4. 6 Tips For Big data on Cloud
Fits Your requirements.
Cost Effective for Work
Pay based on Use
Right Machine – Right Job
Data Collection – Based on Requirement
Simple / Effective Administration

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