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    From 0 To 1: The Cassandra Distributed Database

    Posted By: Sigha
    From 0 To 1: The Cassandra Distributed Database

    From 0 To 1: The Cassandra Distributed Database
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.48 GB | Duration: 5h 55m

    A complete guide to getting started with cluster management and queries on Cassandra

    What you'll learn
    Set up a cluster, keyspaces, column families and manage them
    Run queries using the CQL command shell
    Design primary keys and secondary indexes with partitioning and clustering considerations
    Use the Cassandra Java driver to connect and run queries on the cluster

    Requirements
    The basics of SQL and traditional relational databases
    The basics of Java in order to use the Cassandra Java library

    Description
    Taught by a team which includes 2 Stanford-educated, ex-Googlers  and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing. 
    Has your data gotten huge, unwieldy and hard to manage with a traditional database? Is your data unstructured with an expanding list of attributes? Do you want to ensure your data is always available even with server crashes? Look beyond Hadoop - the Cassandra distributed database is the solution to your problems.
    Let's parse that.
    Huge, unwieldy data: This course helps your set up a cluster with multiple nodes to distribute data across machines
    Unstructured: Cassandra is a columnar store. There are no empty cells or space wasted when you store data with variable and expanding attributes
    Always available: Cassandra uses partitioning and replication to ensure that your data is available even when nodes in a cluster go down

    What's included in this course:

     The Cassandra Cluster Manager (CCM) to set up and manage your cluster The Cassandra Query Language (CQL) to create keyspaces, column families, perform CRUD operations on column families and other administrative tasksDesigning primary keys and secondary indexes, partitioning and clustering keysRestrictions on queries based on primary and secondary key designTunable consistency using quorum and local quorum. Read and write consistency in a nodeArchitecture and Storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File and Data FileA real world project: A Miniature Catalog Management System using the Cassandra Java driver

    Who this course is for:
    Yup! Engineers and analysts who understand traditional, relational databases and want to move to big data storage systems,Nope! Students who are just starting out understanding databases and have no prior experience with one


    From 0 To 1: The Cassandra Distributed Database


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