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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
s




Big Data

,Course : Big Data

Module Name: Hive
Querying and Analysis

Session Name: Advanced
Hive Queries

Instructor :

,● Hive

○ Joins in Hive
○ Indexing in Hive
○ User-Defined Function
○ Static Partitioning
○ Dynamic Partitioning And Dropping The Partitions
○ Bucketing
○ Data Modelling

, Joins in Hive

Apache Hive, joins are used to combine data from two or more tables based
on a common column between them. Hive supports various types of joins
similar to SQL, including:

INNER JOIN
LEFT OUTER JOIN
RIGHT OUTER JOIN
FULL OUTER JOIN
LEFT SEMI JOIN
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Institution
Lovely Professional University Phagwara
Course
INT 421
All documents for this subject (8)

Document information

Uploaded on
December 14, 2024
Number of pages
34
Written in
2024/2025
Type
Class notes
Professor(s)
Anajana
Contains
All classes

Subjects

  • data science
  • data
  • big data
  • big data analysiss
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