
Explore Cassandra basics for beginners by starting Cassandra, creating keyspaces and tables, inserting and querying data, organizing data with primary keys, using uuids for keys, and paging within partitions.
Explore Cassandra as a high-performance, open source NoSQL database and learn its distributed, non-relational, horizontally scalable ring architecture, replication, and the coordinator node workflow for client requests.
Create a key space in Cassandra via cqlsh with simple replication and replication factor one; verify durable_writes and settings using system_schema.keyspaces.
Build a NetBeans Java project to manage Cassandra keyspaces via the Java API, adding driver jars, connecting a cluster and session, and creating or viewing keyspaces.
Connect to a Cassandra cluster via Java API, create a keyspace using simple replication, set replication factor to 1, switch to the keyspace, and confirm creation with a dialog.
Create and modify Cassandra keyspaces via SQL and the Java API, verify changes with system_schema.keyspaces queries, and drop keyspaces while adjusting replication factor and strategy.
Create a Cassandra table in a keyspace with primary key stock id and typed columns such as stock name, date of purchase, and quantity, using SQL and the Java API.
Create and verify Cassandra tables on a Cassandra database, then use a graphical user interface form to specify table name, columns, and data types, and connect to localhost:9042.
Learn Cassandra column data types from ascii to timeuuid and how to insert data into an inventory table with practical field mappings.
Learn to insert inventory data from a Java API into SQL using a data-entry form with stock id, vendor name, date of purchase, purchase price, selling price, GST, and quantity.
Capture stock data from text fields in a Java Swing interface and insert into the inventories table in Cassandra via localhost:9042.
Learn to insert data into Cassandra using the Java API: build a cluster, connect, execute insert queries, and verify records via an inventory table and a data-entry form.
Explore creating a compound primary key on username and user_id in a users_data table, including time uuid usage, inserting records, and querying with select star.
Learn how to create Cassandra tables with composite keys, insert data using timeuuid and unix timestamps, and fetch date values via date of function and now.
Develop a Java Swing insert form for the user_data_two table in Cassandra, leveraging a time-based UUID option and a CQL insert to store username, user id, and description.
Explore how to create and use Cassandra keyspaces and tables, insert data with the Java API, fetch results with select, and apply static columns and timeuuid.
Explore Cassandra at an intermediate level by learning practical data manipulations—altering, dropping, updating, and deleting data, including conditional updates—alongside prerequisites in basic database concepts, Java, and Cassandra.
Learn how to alter, truncate, and drop tables in Cassandra, including adding or dropping columns, creating and managing dummy and inventory tables, and verifying changes via describe and select commands.
Update inventory data with a concrete SQL update example and a Java-based form, covering stock ID, stock name, stock description, vendor, date of purchase, GST, quantity in stock, and remarks.
Update inventory data in Cassandra via a Java API by configuring a cluster, connecting to Cassandra, building an update query, parsing gui inputs, and verifying the update.
Explore how Cassandra differs from relational databases by lacking joins and referential integrity, favoring denormalization, and introducing secondary indexes via create index on table columns.
Continue creating and managing secondary indexes in Cassandra via CQLSH, including drop and describe workflows on the expenses table and its amount column.
Learn how to create and manage Cassandra indexes using the Java api, including creating tables, defining columns with a primary key, and dropping indexes through user interface and input fields.
Learn how Cassandra Java API accepts a table name and four text columns, builds a create table statement with the first column as primary key, and validates the table.
Master how to create and drop secondary indexes in Cassandra with the Java API. Build and test index operations using table name, column, and index name, and verify via describe.
Learn batch processing in Cassandra, executing begin batch with insert, update, and delete, plus viewing expanded results and performing conditional updates, then implement the same workflow in Java API.
Design a batch processing form that enables insert, update, and delete operations, collects user id, password, and name, and processes a four-statement batch via the batch transaction one class.
Connect to a local Cassandra cluster and build a batch insert for users by collecting user ids, names, and passwords from UI fields, then begin batch and execute the inserts.
Master batch processing in Cassandra by composing update, insert, and delete statements, connecting a cluster to the cassandra_blk keyspace, and executing the batched queries with the Java API.
Explore expanding and formatting query results in Cassandra, then apply conditional updates with if exist in SQL and Java API on the users table.
Explore advanced Cassandra training by mastering collections, user defined data types, time series data, counter columns, and data replication, with prerequisites in basic database concepts, Java, and intermediate Cassandra.
Learn how to create Cassandra collection columns of list, set, and map types, store multiple values like emails, and perform insert and update operations on collection data.
Configure a Java Cassandra client, connect to localhost:9042, and perform insert and update operations on a collection using text fields for name, address, and emails.
Set up a Cassandra cluster, connect with the builder, run insert and update queries on a collection set, and observe data in list and set formats.
Explore map type collections in Cassandra by creating a table with a map column for employee addresses, inserting and updating home and office keys, and wiring a Java API workflow.
Master the collection map in Cassandra by building an insert query with multiple keys and values, establishing a cluster connection, executing the query, and verifying insertion.
Update Cassandra map data and address field via a client by configuring the cluster, connecting to localhost:9042, and executing the update, then explore creating and incrementing a counter table.
Master Cassandra by creating user defined types and time series data, applying replication strategies, and using time span with set, list, map, and counter types.
Master Cassandra DB through an intermediate employee database project using Java front end, covering database creation, table design, insert, update, and query operations.
Explore Cassandra as a NoSQL database by designing three tables, ecom_departments, ecom_employees, and ecom_job_history, defining primary keys, data types, and a Java front end for inserting, updating, and deleting data.
Practice inserting department records into Cassandra through a Java Swing interface, validate login, manage forms, and connect to a local Cassandra cluster to persist data.
See how to insert records into the ecom_departments table in Cassandra with a Java NetBeans app: parse text fields, build and run the insert, and verify via a select.
Create an employees insert form in a Java Swing app with fields for id, first name, last name, email, phone, hire date, salary, department id, and insert and clear buttons.
Learn to build a Java with Cassandra client, connect to localhost:9042, and insert an employee record by parsing id, names, contact details, salary, and dates.
Insert into the ecom_employees table with 11 columns, including employee_id and hiredate, then connect to the ABC ecom keyspace and execute the query to confirm data creation.
Insert and validate employee records in a Cassandra-backed e-commerce database, debug data type issues, and use the front-end form to insert, clear, and verify records.
Insert multiple employee records into the emp table after login, using a unique employee ID as the primary key, with front-end data entry for email, salary, and department.
Continue inserting records into the emp table in Cassandra, building a 30-record dataset, then practice updating and deleting departments and employees and preparing the job history table.
Build an update dept records form and a delete dept record form to modify or remove records in the ecom_departments table by department id in cassandra.
Delete records from the dept table in Cassandra by configuring the client and running a delete query with the entered department id.
Create the ecom underscore job history table, then build update, delete, and insert update delete forms in NetBeans; test updates on employee 77 and verify with a select.
Create a delete employee record form in a Java Cassandra project, implement the delete query, and discuss integrating JFrame with an MDI desktop pane for internal frames.
Transform your project into an MDI application by turning forms into internal frames for insert, update, and delete operations on employees and departments, and manage forms from a single login.
Learn to insert, update, and delete records in the ecom_job_history table within a Cassandra-backed database. Build and verify GUI forms and SQL-like statements to manage employee history data.
Introduction:
Welcome to Cassandra Mastery: From Beginner to Advanced with Hands-On Projects! This course is designed to take you on a comprehensive journey through Apache Cassandra, one of the most popular NoSQL databases in the world. Whether you’re new to Cassandra or looking to deepen your expertise, this course covers everything from the basics to advanced data modeling, indexing, and batch processing, all the way to building real-world projects using Java. By the end of this course, you'll have the skills to efficiently handle massive datasets with Cassandra, optimizing performance and scalability for enterprise-level applications.
Section 1: Cassandra Training - Beginner Level
This foundational section introduces you to the basics of Apache Cassandra. Starting with an overview of what Cassandra is and how it handles distributed data with its unique clustering capabilities, you'll learn how to set up and manage your Cassandra environment. Lectures cover the essentials of creating keyspaces, working with cqlsh (Cassandra Query Language Shell), and integrating Java APIs to perform operations like creating tables and inserting data. You'll get hands-on practice in designing tables, understanding primary keys, and inserting data efficiently, setting a strong base for your Cassandra journey.
Section 2: Cassandra Training - Intermediate Level
Moving beyond the basics, this section focuses on intermediate-level concepts that are crucial for optimizing data management in Cassandra. You'll learn advanced table management techniques such as truncating tables, updating data, and creating secondary indexes to enhance query performance. The section also delves into batch processing, enabling you to handle multiple operations in a single go, which is crucial for performance optimization in high-volume applications. Each lecture is designed to deepen your understanding of Cassandra's capabilities and to prepare you for more complex data operations.
Section 3: Cassandra Training - Advanced Level
The advanced section takes your Cassandra skills to the next level by exploring data collections such as lists, sets, and maps. You’ll learn how to use these data structures to store and retrieve complex data efficiently. This section covers in-depth concepts of data modeling with collections, enabling you to design scalable and optimized databases. By mastering these advanced techniques, you'll be able to build robust Cassandra applications that can handle diverse data scenarios and optimize storage.
Section 4: Project on Cassandra
The final section is a hands-on project designed to consolidate all the concepts you’ve learned. You’ll work on a complete application involving multiple tables, focusing on real-world use cases like managing departments and employee records. The project will guide you through creating and manipulating tables, integrating Java applications, and implementing CRUD (Create, Read, Update, Delete) operations. You'll also learn how to build a multi-document interface (MDI) application, enhancing your ability to manage complex data relationships in a production environment. This project-based approach ensures that you not only learn but also apply your knowledge to practical scenarios.
Conclusion:
By the end of this comprehensive course, you will have mastered Cassandra from the basics to advanced levels. You'll gain the skills necessary to build and manage scalable, high-performance NoSQL databases, with the confidence to apply your knowledge to real-world projects. Whether you aim to advance your career as a database engineer or simply want to enhance your data management skills, this course provides the hands-on experience needed to succeed.