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Apache AsterixDB for Beginners (Big Data Management System)

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Bigdata Engineer

1:21:39

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  • 1 - Introduction.mp4
    03:45
  • 2 - AsterixDB.mp4
    02:32
  • 3 - Performance of Apache AsterixDB.mp4
    01:14
  • 4 - Key Features.mp4
    01:53
  • 5 - Tips to Improve Your Course Taking Experience.mp4
    01:35
  • 6 - Example of Product using AsterixDB.mp4
    02:28
  • 7 - Installation Steps for Apache AsterixDB.mp4
    03:50
  • 8 - Starting Apache AsterixDB.mp4
    05:48
  • 9 - Stopping Apache AsterixDB.mp4
    01:09
  • 10 - Dataverses.mp4
    03:11
  • 10 - Dataverses-Practical.txt
  • 11 - Datatypes.mp4
    00:50
  • 12 - Datasets.mp4
    04:41
  • 12 - Datasets.txt
  • 13 - Primitive Type.mp4
    07:24
  • 14 - Incomplete Information Types.mp4
    01:19
  • 15 - Derived Types.mp4
    03:00
  • 16 - Creating Datasets and Indexes.mp4
    04:26
  • 16 - Creating-Datasets-and-Indexes.txt
  • 17 - Loading Data Into AsterixDB.mp4
    01:50
  • 17 - Loading-Data-Into-AsterixDB.txt
  • 18 - ExactMatch Lookup.mp4
    02:05
  • 18 - Exact-Match-Lookup.txt
  • 19 - Simple Aggregation.mp4
    00:57
  • 19 - Simple-Aggregation.txt
  • 20 - Deleting Existing Data.mp4
    01:44
  • 20 - Deleting-Existing-Data.txt
  • 21 - Loading New Data in Bulk Loading Data from File.mp4
    03:49
  • 21 - Loading-New-Data-in-Bulk.txt
  • 22 - Introduction to SQL.mp4
    01:16
  • 23 - Arithmetic Operators.mp4
    03:05
  • 24 - Logical Operators.mp4
    02:09
  • 25 - Numeric Functions.mp4
    03:29
  • 26 - String Functions.mp4
    03:37
  • 27 - Tokenizing Functions.mp4
    01:44
  • 28 - Aggregate Functions Array Functions.mp4
    05:21
  • 29 - Comparison Functions.mp4
    01:28
  • 30 - Bonus Lecuture.html
  • Description


    AsterixDB is a BDMS (Big Data Management System) with rich feature set that sets it apart from other Big Data platforms

    What You'll Learn?


    • Why Apache AsterixDB is necessary for Data Engineer
    • The goal of this course is to help you become familiar with Apache AsterixDB bits and bytes
    • Learn A to Z of Apache AsterixDB (Basic level).
    • Hands on Experience on Apache AsterixDB and Real-time Use Case

    Who is this for?


  • Software Engineer, Software Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
  • You should take this course if want to learn Apache AsterixDB completely from scratch
  • More details


    Description

    AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis.


    We will learn


    • Introduction to AsterixDB

    • Performance of Apache AsterixDB

    • Key Features

    • Example of Product using AsterixDB

    • Installation of Apache AsterixDB

    • Asterix Data Model (Dataverse, Datatype, Dataset)

    • Creating Dataset and Index

    • Loading Data into AsterixDB

    • Arithmetic Operators

    • Logical Operators

    • Numeric Functions

    • String Functions

    • Tokenizing Functions

    • Aggregate Functions (Array Functions)

    • Comparison Functions


    This course is designed for Beginners in Apache AsterixDB and looking out for a new job as Data Engineer, Big data Engineers or Developers,  Software Developer.

    You'll walk away from this course with a real, deep understanding of Apache AsterixDB and its associated distributed systems, and you can apply it to real-world problems. Plus a valuable completion certificate is waiting for you at the end!


    AsterixDB has:

    • Data model
      A semistructured NoSQL style data model (ADM) resulting from extending JSON with object database ideas

    • Query languages
      Two expressive and declarative query languages (SQL++ and AQL) that support a broad range of queries and analysis over semistructured data

    • Scalability
      A parallel runtime query execution engine, Apache Hyracks, that has been scale-tested on up to 1000+ cores and 500+ disks

    • Native storage
      Partitioned LSM-based data storage and indexing to support efficient ingestion and management of semistructured data

    • External storage
      Support for query access to externally stored data (e.g., data in HDFS) as well as to data stored natively by AsterixDB

    • Data types
      A rich set of primitive data types, including spatial and temporal data in addition to integer, floating point, and textual data

    • Indexing
      Secondary indexing options that include B+ trees, R trees, and inverted keyword (exact and fuzzy) index types

    • Transactions
      Basic transactional (concurrency and recovery) capabilities akin to those of a NoSQL store

    Who this course is for:

    • Software Engineer, Software Developer, Big Data Engineer, Data Engineer, Data Analyst, Data Scientist, Machine Learning Engineer
    • You should take this course if want to learn Apache AsterixDB completely from scratch

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    Bigdata Engineer
    Bigdata Engineer
    Instructor's Courses
    I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.Responsibilities includes,- Support all Hadoop related issues- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies- Analyse and Define pros and cons of various technologies and platforms- Define use cases, solutions and recommendations- Define Big Data strategy- Perform detailed analysis of business problems and technical environments- Define pragmatic Big Data solution based on customer requirements analysis- Define pragmatic Big Data Cluster recommendations- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data- Data Governance- Build Tools to improve developer productivity and implement standard practicesI am sure the knowledge in these courses can give you extra power to win in life.All the best!!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 29
    • duration 1:21:39
    • Release Date 2023/05/05