Apache Pinot - A Hands on Course

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[ FreeCourseWeb.com ] Udemy - Apache Pinot - A Hands on Course
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Introduction
    • 001 Introduction.en.srt (0.9 KB)
    • 001 Introduction.mp4 (2.8 MB)
    • 002 What is Apache Pinot and When to use it.en.srt (5.4 KB)
    • 002 What is Apache Pinot and When to use it.mp4 (17.4 MB)
    • 003 What will this course cover_.en.srt (2.2 KB)
    • 003 What will this course cover_.mp4 (11.0 MB)
    02 Components of Apache Pinot
    • 001 Tables and Segments.en.srt (5.2 KB)
    • 001 Tables and Segments.mp4 (24.3 MB)
    • 002 Server and Broker.en.srt (4.9 KB)
    • 002 Server and Broker.mp4 (14.1 MB)
    • 003 Controller.en.srt (3.2 KB)
    • 003 Controller.mp4 (12.9 MB)
    • 004 Tenants.en.srt (2.7 KB)
    • 004 Tenants.mp4 (10.0 MB)
    • 005 Cluster.en.srt (2.1 KB)
    • 005 Cluster.mp4 (9.3 MB)
    03 Apache Pinot - Hands On Setup
    • 001 Setting up the Environment [Hands On].en.srt (5.8 KB)
    • 001 Setting up the Environment [Hands On].mp4 (39.0 MB)
    • 002 Setting up the Pinot Cluster in a Standalone machine [Hands On].en.srt (8.1 KB)
    • 002 Setting up the Pinot Cluster in a Standalone machine [Hands On].mp4 (52.4 MB)
    • 003 Pinot Data Explorer [Hands On].en.srt (8.6 KB)
    • 003 Pinot Data Explorer [Hands On].mp4 (44.9 MB)
    • Centos Minimal.ova (986.3 MB)
      • Course Hands On Material Batch ingestion Spark data
      • user_data_spark.csv (0.7 KB)
      • scripts.txt (0.8 KB)
      • user_batch_job_spark.yml (1.5 KB)
      • user_schema_spark.json (0.5 KB)
      • user_table_spark.json (0.5 KB)
        • Standalone data
        • user_data.csv (0.7 KB)
        • scripts.txt (0.1 KB)
        • user_batch_job.yml (1.0 KB)
        • user_schema.json (0.5 KB)
        • user_table.json (0.4 KB)
          • Cluster setup
          • pinot_cluster_scripts.txt (1.2 KB)
          Indexing data
          • user_data_stream_indexing.txt (2.4 KB)
          • scripts.txt (0.4 KB)
          • user_schema_stream_indexing.json (0.6 KB)
          • user_table_stream_indexing.json (1.1 KB)
            • Pre - aggregation data
            • user_data_stream_startree.txt (3.0 KB)
            • scripts.txt (0.6 KB)
            • user_schema_stream_startree.json (0.7 KB)
            • user_table_stream_startree.json (1.3 KB)
              • Queries
              • scripts.txt (0.4 KB)
              Stream Ingestion Nested_Json data
              • user_stream_nested.txt (0.5 KB)
              • scripts.txt (0.5 KB)
              • user_schema_stream_nested1.json (0.4 KB)
              • user_schema_stream_nested2.json (0.4 KB)
              • user_table_stream_nested1.json (2.0 KB)
              • user_table_stream_nested2.json (2.2 KB)
                • Regular data
                • user_data_stream.txt (2.4 KB)
                • scripts.txt (0.4 KB)
                • user_schema_stream.json (0.6 KB)
                • user_table_stream.json (1.0 KB)
                  • 04 Stream_Realtime Ingestion in Pinot
                  • 001 A Quick Introduction to Apache Kafka.en.srt (6.6 KB)
                  • 001 A Quick Introduction to Apache Kafka.mp4 (18.8 MB)
                  • 002 Stream Ingestion pipeline in Pinot.en.srt (6.3 KB)
                  • 002 Stream Ingestion pipeline in Pinot.mp4 (24.1 MB)
                  • 003 Stream ingestion with Kafka and Pinot [Hands On].en.srt (14.5 KB)
                  • 003 Stream ingestion with Kafka and Pinot [Hands On].mp4 (109.2 MB)
                  • 004 Stream ingestion with Nested Jsons in Pinot [Hands On].en.srt (14.8 KB)
                  • 004 Stream ingestion with Nested Jsons in Pinot [Hands On].mp4 (93.8 MB)
                  05 Batch Ingestion in Pinot
                  • 001 Batch Ingestion pipeline in Pinot.en.srt (3.4 KB)
                  • 001 Batch Ingestion pipeline in Pinot.mp4 (13.5 MB)
                  • 002 Batch Ingestion in Pinot with Standalone Mode [Hands On].en.srt (11.7 KB)
                  • 002 Batch Ingestion in Pinot with Standalone Mode [Hands On].mp4 (90.7 MB)
                  • 003 Batch Ingestion in Pinot with Apache Spark [Hands On].en.srt (13.7 KB)
                  • 003 Batch Ingestion in Pinot with Apache Spark [Hands On].mp4 (116.5 MB)
                  06 Querying Data in Pinot
                  • 001 Basic Queries, Transformations and Aggregations.en.srt (4.3 KB)
                  • 001 Basic Queries, Transformations and Aggregations.mp4 (15.2 MB)
                  • 002 Querying in Pinot [Hands On].en.srt (6.0 KB)
                  • 002 Querying in Pinot [Hands On].mp4 (33.6 MB)
                  • 003 Querying with Broker REST API [Hands On].en.srt (3.7 KB)
                  • 003 Querying with Broker REST API [Hands On].mp4 (21.6 MB)
                  07 Indexing
                  • 001 Forward Index.en.srt (7.8 KB)
                  • 001 Forward Index.mp4 (25.6 MB)
                  • 002 Inverted Index.en.srt (5.2 KB)
                  • 002 Inverted Index.mp4 (14.4 MB)
                  • 003 Range Index.en.srt (1.4 KB)
                  • 003 Range Index.mp4 (4.0 MB)
                  • 004 Indexing [Hands On].en.srt (8.1 KB)
                  • 004 Indexing [Hands On].mp4 (69.8 MB)
                  08 Pre-aggregations
                  • 001 Star Tree Index.en.srt (8.9 KB)
                  • 001 Star Tree Index.mp4 (29.2 MB)
                  • 002 Star Tree Index [Hands On].en.srt (9.3 KB)
                  • 002 Star Tree Index [Hands On].mp4 (78.0 MB)
                  09 Summary
                  • 001 Summary.en.srt (0.8 KB)
                  • 001 Summary.mp4 (919.1 KB)
                  • Bonus Resources.txt (0.3 KB)

Description

Apache Pinot : A Hands on Course



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (2h 26m) | Size: 1.76 GB
Learn the Core Concepts of Apache Pinot which is a new Realtime Analytics Datastore and also work with Hands On Examples
What you'll learn:
Learn about A highly scalable realtime OLAP System: Apache Pinot
Get Hands on experience with Pinot
Learn about batch and stream ingestion and how Pinot can support both
Learn about all the components of Pinot
Learn about the various optimizations which can be done in Pinot to improve Query latencies

Requirements
Basic SQL knowledge and big data knowledge will be helpful, but it is not mandatory

Description
Apache Pinot is a Realtime Distributed Analytical Datastore. It can handle millions of real-time events per minute and can also serve queries in a few milliseconds.

Pinot is a new Big Data Technology that is being adopted by multiple companies like Linkedin, Uber, Slack, Target, Walmart, and many others. With real-time analytics of big data becoming pretty important, Learning an On-Demand Technology like Pinot will be a great addition to your skillset.



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Apache Pinot - A Hands on Course

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1.9 GB
seeders:8
leechers:6
Apache Pinot - A Hands on Course

Torrent hash: B9C151D3345856BF707711134C8F6F02D59FB612