Hadoop vs Spark | Which One to Choose? | Hadoop Training | Spark Training | Edureka

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( Apache Spark Training: https://www.edureka.co/apache-spark-scala-training ) ( Hadoop Training: https://www.edureka.co/hadoop ) This Edureka Hadoop vs Spark video will help you to understand the differences between Hadoop and Spark. We will be comparing them on various parameters. We will be taking a broader look at: 1. Introduction to Hadoop 2. Introduction to Apache Spark 3. Spark vs Hadoop - Performance Ease of Use Cost Data Processing Fault tolerance Security 4. Hadoop Use-cases 5. Spark Use-cases

Technologie

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Hadoop vs Spark

Copyright © 2017, edureka and/or its affiliates. All rights reserved.
Hadoop

Copyright © 2017, edureka and/or its affiliates. All rights reserved.
Spark

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Move data through disk & network
Caches data in memory
Performance
Step Step Step Step
Step Step Step Step
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Hadoop can be integrated with multiple tools like Sqoop, Flume, Pig, Hive
Spark comes with user-friendly APIs for Scala, Java, Python, and Spark SQL
Ease of Use
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Costs
Hadoop requires lot of disk space as well as faster disks
Spark requires large amounts of RAM for executing everything in memory
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Data Processing
Client Client Client
Time
ms ms ms
Client Client Client
Time
Stored Stored Stored ETL
Client
Batch
Processing
Stream
Processing
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Fault Tolerance
1 2
Replication Re-Execution of Job
RDD is automatically recomputed by using the original transformations
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Security
1. Login Attempt
4. Logged In
2. Password
3. Check OK
Server LDAP
Performance
Ease of Use
Costs
Data Processing
Fault Tolerance
Security

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Hadoop Use-cases

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Hadoop Use-cases
1
2
Reporting Tool 1
Reporting Tool 2
Reporting Tool 3
Server
Archival Data
Reporting Tools
Client Client Client
Time
Stored Stored Stored ETL
Client
Applications requiring
Batch Processing

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Spark Use-cases

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Spark Use-cases
1
2
Client Client Client
Time
ms ms ms
3
Graph Processing
Applications requiring
Stream-processing
Iterative Processing

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Which one is the best?

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

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Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

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5. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Move data through disk & network Caches data in memory Performance Step Step Step Step Step Step Step Step Performance Ease of Use Costs Data Processing Fault Tolerance Security

6. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Hadoop can be integrated with multiple tools like Sqoop, Flume, Pig, Hive Spark comes with user-friendly APIs for Scala, Java, Python, and Spark SQL Ease of Use Performance Ease of Use Costs Data Processing Fault Tolerance Security

7. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Costs Hadoop requires lot of disk space as well as faster disks Spark requires large amounts of RAM for executing everything in memory Performance Ease of Use Costs Data Processing Fault Tolerance Security

8. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Data Processing Client Client Client Time ms ms ms Client Client Client Time Stored Stored Stored ETL Client Batch Processing Stream Processing Performance Ease of Use Costs Data Processing Fault Tolerance Security

9. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Fault Tolerance 1 2 Replication Re-Execution of Job RDD is automatically recomputed by using the original transformations Performance Ease of Use Costs Data Processing Fault Tolerance Security

10. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Security 1. Login Attempt 4. Logged In 2. Password 3. Check OK Server LDAP Performance Ease of Use Costs Data Processing Fault Tolerance Security

12. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Hadoop Use-cases 1 2 Reporting Tool 1 Reporting Tool 2 Reporting Tool 3 Server Archival Data Reporting Tools Client Client Client Time Stored Stored Stored ETL Client Applications requiring Batch Processing

14. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Spark Use-cases 1 2 Client Client Client Time ms ms ms 3 Graph Processing Applications requiring Stream-processing Iterative Processing

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