دوره جامع Apache Cassandra

آپاچی کاساندرا (Apache Cassandra) یک پایگاه داده NoSQL توزیع‌شده و متن‌باز است که برای مدیریت حجم زیادی از داده‌ها در چندین مرکز داده با قابلیت دسترسی بالا، تحمل خطا و مقیاس‌پذیری بالا طراحی شده است. این پایگاه داده در مواردی که نیاز به دسترسی به داده‌ها با تأخیر کم و مقیاس‌پذیری افقی دارند، عملکرد فوق‌العاده‌ای دارد و آن را به انتخابی ترجیحی برای صنایعی مانند امور مالی، تجارت الکترونیک و اینترنت اشیا تبدیل می‌کند، جایی که پردازش بلادرنگ و آپتایم (uptime) بالا بسیار مهم هستند. یادگیری آپاچی کاساندرا برای متخصصان کلان‌داده مهم است، زیرا به طور گسترده برای مدیریت برنامه‌های کاربردی در مقیاس بزرگ، ثبت وقایع و داده‌های سری زمانی استفاده می‌شود.
یک مدرس خصوصی می‌تواند با ارائه یک برنامه درسی ساختاریافته، تمرین‌های عملی و مثال‌های دنیای واقعی برای کمک به شما در تسلط بر معماری کاساندرا، مدل‌سازی داده‌ها و پرس‌وجو (Query) با CQL (زبان پرس‌وجوی کاساندرا) یادگیری شما را تسریع کند و شما را برای نقش‌هایی مانند مدیر پایگاه داده یا مهندس کلان‌داده آماده کند.

Chapter 1: Introduction to Big Data and Distributed Systems

Lesson 1: What is Big Data? Understanding Its Impact
Lesson 2: Challenges of Big Data: Volume, Variety, Velocity, and Veracity
Lesson 3: Introduction to Distributed Systems and Their Role in Big Data
Lesson 4: Overview of Big Data Tools: Hadoop, Spark, Cassandra, and More
Lesson 5: Comparing Apache Cassandra with Other Big Data Tools (Hadoop, MongoDB, HBase)

Chapter 2: Introduction to Apache Cassandra

Lesson 1: What is Apache Cassandra and Why Is It Important?
Lesson 2: History and Evolution of Apache Cassandra
Lesson 3: Key Features of Apache Cassandra
Lesson 4: Cassandra's Distributed and Decentralized Architecture
Lesson 5: Use Cases of Apache Cassandra in Real-World Applications (IoT, Financial Services, Social Media)

Chapter 3: Setting Up Apache Cassandra

Lesson 1: System Requirements and Prerequisites for Cassandra
Lesson 2: Installing Apache Cassandra on Local and Cluster Environments
Lesson 3: Configuring Cassandra for Single Node and Multi-Node Clusters
Lesson 4: Setting Up Cassandra on Cloud Platforms (AWS, Azure, GCP)
Lesson 5: Integrating IDEs (Eclipse, IntelliJ, Visual Studio Code) with Cassandra

Chapter 4: Cassandra Data Model and Architecture

Lesson 1: Understanding Cassandra's Data Model (Keyspaces, Tables, Rows, Columns)
Lesson 2: Partitioning and Clustering in Cassandra
Lesson 3: Consistency Levels and Their Impact on Data Availability
Lesson 4: How Cassandra Ensures High Availability and Fault Tolerance
Lesson 5: Introduction to Cassandra’s Architecture (Nodes, Data Centers, Clusters)

Chapter 5: Cassandra Query Language (CQL)

Lesson 1: Introduction to Cassandra Query Language (CQL)
Lesson 2: Basic CQL Commands (SELECT, INSERT, UPDATE, DELETE)
Lesson 3: Defining and Altering Schema in Cassandra (CREATE, ALTER, DROP)
Lesson 4: Indexing in Cassandra (Primary Keys, Secondary Indexes)
Lesson 5: Batch Operations and Their Use in Cassandra

Chapter 6: Data Consistency and Replication in Cassandra

Lesson 1: Data Replication in Cassandra (Replication Factor, Network Topology)
Lesson 2: Consistency Models in Cassandra (Eventual Consistency, Tunable Consistency)
Lesson 3: Handling Network Partitions and Failures in Cassandra
Lesson 4: Read and Write Path in Cassandra: How Data Is Stored and Retrieved
Lesson 5: Configuring and Tuning Consistency Levels for Read/Write Operations

Chapter 7: Advanced Cassandra Querying Techniques

Lesson 1: Advanced Filtering in Cassandra (WHERE Clauses, ALLOW FILTERING)
Lesson 2: Using Collections (Lists, Sets, Maps) in Cassandra
Lesson 3: Time Series Data in Cassandra (TTL, Expiry)
Lesson 4: Query Optimization in Cassandra (Indexing, Query Patterns)
Lesson 5: Troubleshooting Slow Queries and Performance Bottlenecks

Chapter 8: Scaling and Performance Optimization

Lesson 1: Horizontal Scaling in Cassandra: Adding Nodes to the Cluster
Lesson 2: Performance Tuning in Cassandra (Heap Settings, Caching, Compaction)
Lesson 3: Using Virtual Nodes (vnodes) for Improved Scalability
Lesson 4: Node Repair, Cleanup, and Balancing in Cassandra
Lesson 5: Monitoring Cassandra Performance (Metrics, JMX, Nodetool)

Chapter 9: Cassandra Administration and Maintenance

Lesson 1: Managing Cassandra Cluster (Adding/Removing Nodes, Repairing)
Lesson 2: Data Backup and Restore in Cassandra
Lesson 3: Handling Data Consistency and Deletion (Hinted Handoff, Commit Logs)
Lesson 4: Understanding Cassandra's Garbage Collection and Memory Management
Lesson 5: Best Practices for Cassandra Cluster Maintenance

Chapter 10: Security in Cassandra

Lesson 1: Securing Cassandra with Authentication and Authorization
Lesson 2: Role-Based Access Control (RBAC) in Cassandra
Lesson 3: Encryption (At Rest, In Transit) in Cassandra
Lesson 4: Securing Data in Cassandra Using SSL/TLS
Lesson 5: Auditing and Monitoring Security in Cassandra

Chapter 11: Advanced Cassandra Features and Concepts

Lesson 1: Advanced Compaction Strategies (Leveled, Size-Tiered)
Lesson 2: Customizing Cassandra with User-Defined Types and Functions
Lesson 3: Materialized Views and Their Use Cases
Lesson 4: Cassandra and Search: Using Apache Solr for Indexing
Lesson 5: Integration with Hadoop and Spark for Data Processing

Chapter 12: High Availability and Fault Tolerance in Cassandra

Lesson 1: Architecting for High Availability in Cassandra
Lesson 2: Implementing Multi-Region and Multi-Data Center Clusters
Lesson 3: Cassandra's Quorum-Based Replication and Failover Mechanisms
Lesson 4: Handling Node Failures and Ensuring Consistent Reads/Writes
Lesson 5: Best Practices for Achieving Fault Tolerance

Chapter 13: Integration of Cassandra with Other Big Data Tools

Lesson 1: Integrating Cassandra with Apache Spark for Real-Time Data Processing
Lesson 2: Using Apache Kafka and Cassandra for Real-Time Data Ingestion
Lesson 3: Connecting Cassandra with Apache Flume for Streaming Data
Lesson 4: Combining Cassandra with Apache Hive for SQL Queries
Lesson 5: Leveraging Apache Pig with Cassandra for Data Transformation

Chapter 14: Troubleshooting and Debugging in Cassandra

Lesson 1: Common Cassandra Errors and How to Resolve Them
Lesson 2: Debugging Cassandra Cluster Issues
Lesson 3: Using Logs and Metrics for Troubleshooting
Lesson 4: Tools and Utilities for Diagnosing Problems (Nodetool, JMX, etc.)
Lesson 5: Best Practices for Performance and Error Logging

Chapter 15: Upgrading and Migrating Apache Cassandra

Lesson 1: How to Plan for Cassandra Upgrades
Lesson 2: Migrating from Other NoSQL Databases to Cassandra
Lesson 3: Version Compatibility and Deprecation in New Releases
Lesson 4: Rolling Upgrades in Multi-Node Cassandra Clusters
Lesson 5: Best Practices for Migrating Data and Minimizing Downtime

Chapter 16: Recent Updates and New Features in Apache Cassandra

Lesson 1: Overview of New Features in the Latest Releases of Apache Cassandra
Lesson 2: Enhancements in Data Storage and Indexing
Lesson 3: New Consistency Features and Upgrades in Distributed Systems
Lesson 4: Improvements in Querying and Performance Optimization
Lesson 5: Upgrading and Adapting to New Features in Apache Cassandra

Chapter 17: Real-World Applications of Apache Cassandra

Lesson 1: Case Studies: Using Cassandra for Social Media Platforms
Lesson 2: Cassandra in E-Commerce: Handling Large Product Catalogs
Lesson 3: Cassandra for IoT: Storing Time-Series Data Efficiently
Lesson 4: Financial Services Using Cassandra for Real-Time Transaction Processing
Lesson 5: Best Practices for Deploying Cassandra in Production Environments

دوره جامع Apache Cassandra

پیام شما