The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.
Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the “anti-patterns” that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra.
- Price: $1,995.00
- Duration: 1 day
- Delivery Methods: Virtual
| Date | Time | Price | Option |
|---|---|---|---|
| Please contact us at info@toptalentlearning.com or 469-721-6100 for this course schedule. |
For questions call: (469) 721-6100
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TOPTALENT?
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Session 1: Cassandra Overview
- Why We Need Cassandra – Big Data Challenges vs RDBMS
- High level Cassandra Overview
- Cassandra Features
- Optional: Basic Cassandra Installation and Configuration
Session 2: Cassandra Architecture and CQL Overview
- Cassandra Architecture Overview
- Cassandra Clusters and Rings
- Nodes and Virtual Nodes
- Data Replication in Cassandra
- Introduction to CQL
- Defining Tables with a Single Primary Key
- Using cqlsh for Interactive Querying
- Selecting and Inserting/Upserting Data with CQL
- Data Replication and Distribution
- Basic Data Types (including uuid, timeuuid)
Session 3: Data Modeling and CQL Core Concepts
- Defining a Compound Primary Key
- CQL for Compound Primary Keys
- Partition Keys and Data Distribution
- Clustering Columns
- Overview of Internal Data Organization
- Overview of Other Querying Capabilities
- ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING
- Batch Queries
- Data Modeling Guidelines
- Denormalization
- Data Modeling Workflow
- Data Modeling Principles
- Primary Key Considerations
- Composite Partition Keys
- Defining with CQL
- Data Distribution with Composite Partition Key
- Overview of Internal Data Organization
Session 4: Additional CQL Capabilities
- Indexing
- Primary/Partition Keys and Pagination with token()
- Secondary Indexes and Usage Guidelines
- Cassandra collections
- Collection Structure and Uses
- Defining and Querying Collections (set, list, and map)
- Materialized View
- Overview
- Usage Guidelines
Session 5: Data Consistency In Cassandra
- Overview of Consistency in Cassandra
- CAP Theorem
- Eventual (Tunable) Consistency in C* – ONE, QUORUM, ALL
- Choosing CL ONE
- Choosing CL QUORUM
- Achieving Immediate Consistency
- Overview of Other Consistency Levels
- Supportive Consistency Mechanisms
- Writing / Hinted Handoff
- Read Repair
- Nodetool repair
Session 6: Internal Mechanisms
- Ring Details
- Partitioners
- Gossip Protocol
- Snitches
- Write Path
- Overview / Commit Log
- Memtables and SSTables
- Write Failure
- Unavailable Nodes and Node Failure
- Requirements for Write Operations
- Read Path Overview
- Read Mechanism
- Replication and Caching
- Deletion/Compaction Overview
- Delete Mechanism
- Tombstones and Compaction
Session 7: Working with IntelliJ
- Configuring JDBC Data Source for Cassandra
- Reading Schema Information
- Querying and Editing Tables.
This “skills-centric” course is about 50% hands-on lab and 50% lecture, coupling the most current techniques with the soundest industry practices. Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review.
The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to:
- Understand the Big Data needs that C* addresses
- Be familiar with the operation and structure of C*
- Be able to install and set up a C* database
- Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager)
- Be familiar with the C* architecture, and how a C* cluster is structured
- Understand how data is distributed and replicated in a C* cluster
- Understand core C* data modeling concepts, and use them to create well-structured data models
- Be familiar with the C* eventual consistency model and use it intelligently
- Be familiar with consistency mechanisms such as read repair and hinted handoff
- Understand and use CQL to create tables and query for data
- Know and use the CQL data types (numerical, textual, uuid, etc.)
- Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys)
- Be familiar with the C* write and read paths
- Understand C* deletion and compaction
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional big data / data science, Cassandra, Apache tooling, DevOps, database, programming and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.
Working in a hands-on learning environment, students will learn:
- Understand the needs that C* addresses
- Be familiar with the operation and structure of C*
- Be able to install and set up a C* database
- Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager)
- Be familiar with the C* architecture, and how a C* cluster is structured
- Understand how data is distributed and replicated in a C* cluster
- Understand core C* data modeling concepts, and use them to create well-structured data models
- Use data replication and eventual consistency intelligently
- Understand and use CQL to create tables and query for data
- Know and use the CQL data types (numerical, textual, uuid, etc.)
- Understand the various kinds of primary keys available (simple, compound, and composite primary keys)
- Use more advanced capabilities like collections, counters, secondary indexes, CAS (Compare and Set), static columns, and batches
- Be familiar with the Java client API
- Use the Java client API to write client programs that work with C*
- Build and use dynamic queries with QueryBuilder
- Understand and use asynchronous queries with the Java API
Attendees should have incoming experience with and knowledge of SQL. Some familiarity with distributed systems is also helpful.
Attendees should have incoming experience with and knowledge of SQL. Some familiarity with distributed systems is also helpful.
