Apache Cassandra is a topmost level Apache distributed database for managing huge amounts of arranged data across several product servers. Apache Cassandra is a high-performance, highly scalable, distributed database aimed to manage huge amounts of data across various product servers, offering high availability with no single point of a letdown. Cassandra provides capabilities that other NoSQL databases and relational databases basically can’t match for example linear range performance constant access, operational simplicity and easy data distribution across numerous data centers and cloud availability locations.
|Instructor – Led Live Online Training||Connect Live|
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|Course Name||Cassandra Online Training|
|Contents||Cassandra Introduction, Architecture, data model, data operations etc.|
|Duration||30 Hours with Flexible timings|
|Delivery||Instructor Led-Live Online Training|
|Ideal For||Freshers, aspirants seeking to learn the Cassandra|
|Availability||Regular/Weekend Batches. 24×7 teaching assistance and support.|
What you’ll learn in Cassandra Training Course?
- Learn about the Big Data concepts
- Understand the Apache Cassandra and NoSQL domain concepts.
- Know the detailed Architecture of Apache Cassandra.
- Overview of the Cassandra Data Model and Cassandra Query Language
- Setup and manage Cassandra for a single node
- How to Cassandra for different programming languages.
MODULE 1: INTRODUCTION
TOPICS: ACID Concepts, Cassandra overview, installation of Apache Cassandra, NoSQL databases, Lookup table, Tuneable, strict consistency, RDBMS.
MODULE 2: CASSANDRA DATA MODEL
TOPICS: Cassandra basic commands, RDBMS vs. Cassandra data model, primary key, Key-space, partition key, Data storage in partition
MODULE 3: CASSANDRA ARCHITECTURE
TOPICS: failure detection, load balance, Tombstones, Anti entropy, commit logs, storage service, SSTables, Cassandra Daemon, messaging service.
MODULE 4: SAMPLE APPLICATION
TOPICS: Overview of Cassandra DB, apache cassandra Application code, Database design, creation of database, data structures, loading schema, setting connections, database population.
MODULE 5: DATA OPERATIONS IN CASSANDRA
TOPICS: Keyspaces, Replica Placement Strategy, Partitioner, Snitches, Security, Additional Tools, Basic Write Properties, Basic Read Properties, Slice Predicate, Multijet Slice, Defining Keyspaces.
MODULE 6: INTEGRATION OF CASSANDRA WITH HADOOP
TOPICS: Hadoop MapReduce Concepts, Output Data to Cassandra, HIVE, PIG, Use Cases
MODULE 7: EXCEPTIONS AND HECTOR
TOPICS: Cassandra documentation, Exceptions, Hector features, Hector API, Cassandra Web console, Thrift summary
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