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big data

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The file titled "Big Data_Day " appears to be related to a training session, workshop, or course content on **Big Data** concepts. Since you asked for a description, it may cover topics such as: 1. **Overview of Big Data**: - What is Big Data? - Characteristics (Volume, Velocity, Variety, etc.). 2. **Technologies in Big Data**: - Hadoop Ecosystem (MapReduce, HDFS, YARN). - Data Analysis Tools: Hive, Pig, Spark, etc. 3. **Practical Applications**: - Real-world use cases for Big Data (e.g., healthcare, finance, marketing). 4. **Hands-on Exercises** (if included): - Activities, projects, or sample datasets for practice. 5. **Day 4 Focus**: - Possibly exploring advanced topics like Spark, streaming data, or performance optimization. Let me know if you need further clarification, a summary of its key content, or help with any specific sections!

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Institution
Lovely Professional University Phagwara
Course
INT 421

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#RahoAmbitiou
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Big Data

,Course : Big Data

Module Name: Hive
Querying and Analysis

Session Name: Hive
Essentials

Instructor :

,● Hive

○ Optimisation Using Tez
○ Caching in Hive
○ Hive in Data Ingestion Pipelines
○ Data Visualisation with Hive
○ Data Access and Security Control

, Optimization using Tez

Optimization using Apache Tez represents a significant advancement in
enhancing query performance within the Apache Hive ecosystem. Tez is an
execution engine designed to address the limitations of traditional batch
processing frameworks, like MapReduce, by adopting a directed acyclic graph
(DAG) execution model. This approach enables Tez to optimize query plans,
minimize data movement, and dynamically adjust resource allocation during
query execution.
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Institution
Lovely Professional University Phagwara
Course
INT 421
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Document information

Uploaded on
December 14, 2024
Number of pages
38
Written in
2024/2025
Type
Class notes
Professor(s)
Anajana
Contains
All classes

Subjects

  • data
  • big data
  • big data analysis
  • int 421
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