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{"id":531,"date":"2024-05-01T05:51:23","date_gmt":"2024-05-01T05:51:23","guid":{"rendered":"https:\/\/itgizz.com\/?page_id=531"},"modified":"2024-05-08T04:46:37","modified_gmt":"2024-05-08T04:46:37","slug":"apache-kafka","status":"publish","type":"page","link":"https:\/\/itgizz.com\/apache-kafka\/","title":{"rendered":"Apache Kafka"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text] <\/p>\n

\"\"<\/strong><\/p>\n

Module 1: Introduction to Apache Cassandra<\/strong><\/h5>\n
    \n
  • Overview of No SQL databases and Cassandra.<\/li>\n
  • History and evolution of Cassandra.<\/li>\n
  • Cassandra\u2019s features and use cases.<\/li>\n
  • Distributed database concepts.<\/li>\n<\/ul>\n
    Module 2: Cassandra Data Model<\/strong><\/h5>\n
      \n
    • Understanding the Cassandra data model (tables, rows, columns).<\/li>\n
    • Primary keys and clustering columns.<\/li>\n
    • Data types in Cassandra.<\/li>\n
    • Composite keys and collections (sets, lists, maps).<\/li>\n<\/ul>\n
      Module 3: Data Modeling in Cassandra<\/strong><\/h5>\n
        \n
      • Best practices for data modeling.<\/li>\n
      • Denormalization and designing for queries.<\/li>\n
      • Understanding the CAP theorem in the context of Cassandra.<\/li>\n
      • Creating and managing tables in Cassandra.<\/li>\n<\/ul>\n
        Module 4: Querying Data in Cassandra<\/strong><\/h5>\n
          \n
        • CQL (Cassandra Query Language) basics.<\/li>\n
        • SELECT statements and filtering data.<\/li>\n
        • UPDATE, DELETE, and INSERT operations.<\/li>\n
        • Batch operations and lightweight transactions.<\/li>\n<\/ul>\n
          Module 5: Data Distribution and Replication<\/strong><\/h5>\n
            \n
          • Cassandra\u2019s distributed architecture.<\/li>\n
          • Partitioning and data distribution.<\/li>\n
          • Replica placement and consistency levels.<\/li>\n
          • Handling data distribution and replication for high availability.<\/li>\n<\/ul>\n
            Module 6: Tuning and Optimization<\/strong><\/h5>\n
              \n
            • Monitoring and metrics in Cassandra.<\/li>\n
            • Tuning Cassandra for performance.<\/li>\n
            • Compaction and compression strategies.<\/li>\n
            • Handling large-scale data.<\/li>\n<\/ul>\n
              Module 7: Security in Cassandra<\/strong><\/h5>\n
                \n
              • Authentication and authorization.<\/li>\n
              • Encryption and SSL\/TLS.<\/li>\n
              • Data encryption at rest.<\/li>\n
              • Securing Cassandra clusters.<\/li>\n<\/ul>\n
                Module 8: Backup and Recovery<\/strong><\/h5>\n
                  \n
                • Backup strategies and options.<\/li>\n
                • Point-in-time recovery.<\/li>\n
                • Backup and restore procedures.<\/li>\n
                • Data durability and fault tolerance.<\/li>\n<\/ul>\n
                  Module 9: Apache Cassandra Operations<\/strong><\/h5>\n
                    \n
                  • Deploying Cassandra clusters.<\/li>\n
                  • Managing nodes and adding\/removing nodes.<\/li>\n
                  • Maintenance and upgrades.<\/li>\n
                  • Troubleshooting common issues.<\/li>\n<\/ul>\n
                    Module 10: Integrations and Ecosystem<\/strong><\/h5>\n
                      \n
                    • Using drivers and client libraries (Java, Python, etc.).<\/li>\n
                    • Integrating Cassandra with other technologies (Spark, Elasticsearch, etc.).<\/li>\n
                    • Exploring the Cassandra ecosystem and tools.<\/li>\n<\/ul>\n
                      Module 11: Use Cases and Real-World Examples<\/strong><\/h5>\n
                        \n
                      • Case studies and examples of Cassandra in production.<\/li>\n
                      • Architectural patterns and best practices for specific use cases.<\/li>\n
                      • Building scalable and fault-tolerant applications.<\/li>\n<\/ul>\n
                        Module 12: Advanced Topics (Optional)<\/strong><\/h5>\n
                          \n
                        • Time-series data modeling.<\/li>\n
                        • Multi-data center and cross-region replication.<\/li>\n
                        • Consistency and tunable consistency.<\/li>\n
                        • Advanced troubleshooting and performance optimization.<\/li>\n<\/ul>\n

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                          [vc_row][vc_column][vc_column_text]  Module 1: Introduction to Apache Cassandra Overview of No SQL databases and Cassandra. History and evolution of Cassandra. Cassandra\u2019s features and use cases. Distributed database concepts. Module 2: Cassandra Data Model Understanding the Cassandra data model (tables, rows, columns). Primary keys and clustering columns. Data types in Cassandra. Composite keys and collections (sets, lists, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-531","page","type-page","status-publish","hentry","no-post-thumbnail"],"_links":{"self":[{"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/pages\/531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/comments?post=531"}],"version-history":[{"count":5,"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/pages\/531\/revisions"}],"predecessor-version":[{"id":905,"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/pages\/531\/revisions\/905"}],"wp:attachment":[{"href":"https:\/\/itgizz.com\/wp-json\/wp\/v2\/media?parent=531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}