Apache Cassandra Training

apache-cassandra

About the Training

The Apache Cassandra Training is a comprehensive program designed to equip participants with the skills needed to effectively work with the Apache Cassandra database platform. This training covers the fundamental features, usage techniques, and concepts of Cassandra in detail.

Participants will learn about Cassandra’s core features, database design, performance optimization, security, and other key topics. Through real-world examples and projects, participants will enhance their understanding of Cassandra.

The training also includes instruction on the tools and technologies that can be used for Cassandra database management. Participants will learn how to manage essential features such as data processing, real-time analysis, database design, and security. Additionally, they will gain insights into how to effectively manage a database using Apache Cassandra.

The Apache Cassandra Training covers all aspects of managing a Cassandra-based database. Participants will acquire the foundational skills they need to begin effective database management.

The training program begins with an introduction to Cassandra’s core features and usage. Participants will learn fundamental concepts such as database design, performance optimization, and security, gaining a clear understanding of the role Cassandra plays in database management. These foundational concepts are essential for managing databases effectively.

Throughout the course, there is a focus on Cassandra and its key features and components. This equips participants with the necessary skills in data processing, database design, and security. The course content covers essential topics like database management and maintenance.

Finally, the training provides detailed instruction on managing a Cassandra-based database. This includes maintenance, performance optimization, and ultimately, managing a database using Cassandra. These insights will help participants successfully manage database solutions with Cassandra.

What Will You Learn?

 
  • Fundamental Concepts and Functions of Apache Cassandra: Gain knowledge on how the Apache Cassandra database works, including data modeling, data structures, data management, and other core concepts.
  • Data Modeling and Data Structures: Learn how to structure data modeling and data structures within the Apache Cassandra database.
  • Cluster Configuration and Management: Understand the topics related to configuring and managing clusters in Apache Cassandra.
  • Performance and Reliability: Explore the performance and reliability features of the Apache Cassandra database.
  • Data Querying and Reporting: Learn how to query and report data within the Apache Cassandra database.
  • Technologies Working with Apache Cassandra: Discover how Apache Cassandra integrates and works with other technologies.
  • Hands-On Exercises: Enhance your understanding of Apache Cassandra through practical, hands-on exercises.

Prerequisites

  • Computer Science and Database Fundamentals: A foundational knowledge of computer science and database concepts is necessary to understand the operation and usage of the Apache Cassandra database.
  • Programming Languages: Basic knowledge of programming languages (e.g., Java, Python, C++, etc.) is required to effectively use the Apache Cassandra database.
  • Database Management: Familiarity with database management and data models can be beneficial.
These prerequisites may vary depending on the specific Apache Cassandra training programs. Some programs may require only basic database and programming knowledge, while others may demand more advanced theoretical and practical expertise.

Who Should Attend?

 
  • Data Managers: Data managers can learn how to use Apache Cassandra for storing, managing, and analyzing data.
  • Data Analysts: Data analysts can gain insights into how to query, analyze, and report data using Apache Cassandra.
  • Data Architects: Data architects can learn how to design and manage data structures within Apache Cassandra.
  • Software Developers: Software developers can explore how to use Apache Cassandra as a database and integrate it into their applications.
  • System Administrators: System administrators can learn how to deploy and manage Apache Cassandra in distributed systems.
These are just a few examples. Apache Cassandra training is suitable for anyone interested in data management and distributed systems.

Outline

NoSQL Overview
  • Justifying non-relational data stores
  • Listing the categories of NoSQL Data Stores
Exploring Cassandra
  • Defining column family data stores
  • Surveying Cassandra
  • Dissecting the basic Cassandra architecture
Querying Cassandra
  • Defining Cassandra Query Language, CQL
  • Enumerating CQL data types
  • Manipulating data from the cqlsh interface
Leveraging Cassandra structures and types
  • Drawing comparisons with the relational model
  • Organizing data with keyspaces, tables and columns
  • Creating collections and counters
Modeling data based on queries
  • Designing tables around access patterns
  • Clustering with compound primary keys
  • Improving data distribution with composite partition Keys
Detailing tunable consistency
  • Identifying consistency levels
  • Selecting appropriate read and write consistency levels
  • Distinguishing consistency repair features
Balancing consistency and performance
  • Relating replication factor and consistency
  • Trading consistency for availability
  • Achieving linearizable consistency with Compare-And-Set
Working with Cassandra collection types
  • Grouping elements in sets
  • Ordering elements in lists
  • Expressing relationships with maps
  • Nesting collections
Storing data for easy retrieval
  • Mapping data to tuples and user defined types
  • Investigating the frozen keyword
  • Applying the Valueless Columns Pattern
  • Strategic implementation of clustering columns
Controlling data life span
  • Expiring temporal data with time-to-live
  • Reviewing how tombstones achieve distributed deletes
  • Executing DELETEs and UPDATEs in the future
Constructing materialized views and time series
  • Modeling time series data
  • Enhancing queries with materialized views
  • Materialized views maintained in the application
  • Driving analytics from materialized views
Managing triggers
  • Creating triggers by implementing ITrigger
  • Attaching triggers to tables
  • Supporting materialized views with triggers
Querying Cassandra data with the Datastax Java Driver
  • Connecting to a Cassandra cluster
  • Running CQL through the Java Driver
  • Batching prepared statements
  • Paginating large queries 
Persisting Java Objects with Kundera
  • Defining the Java Persistence Architecture, JPA
  • Configuring Kundera to work with Cassandra
  • Generating schemas automatically
  • Managing JPA transactions in Kundera
Leveraging built-in Cassandra connectors
  • Loading data into Hadoop MapReduce with the Cassandra InputFormat
  • Utilizing the Cassandra Loader to create Pig relations
  • Converting a Cassandra table to a Hive table with the Casssandra serializer/deserializer (SerDe)

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