{"id":4717,"date":"2025-10-27T06:08:27","date_gmt":"2025-10-27T06:08:27","guid":{"rendered":"https:\/\/omxwebsites.com\/gammatica\/?page_id=4717"},"modified":"2025-11-07T05:45:35","modified_gmt":"2025-11-07T05:45:35","slug":"big-data-intermediate","status":"publish","type":"page","link":"https:\/\/omxwebsites.com\/gammatica\/big-data-intermediate\/","title":{"rendered":"Big Data – Intermediate"},"content":{"rendered":"\t\t
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Big Data - Intermediate<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learning Format<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Total training duration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Big Data Engineering \u2013 Intermediate<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\tThis course builds on the basics of Big Data and focuses on practical, real-world data engineering skills. You\u2019ll learn to design scalable data pipelines, process large datasets, and work with tools like Hadoop, Spark, Kafka, and NoSQL databases. The course also covers ETL workflows, cloud data platforms, and data security.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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Syllabus Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Spark Fundamentals<\/strong><\/p>

  • Apache Spark architecture (RDD, DAG, Catalyst optimizer)<\/li>
  • \u00a0Spark installation \/ cluster basics<\/li>
  • RDD operations (map, filter, reduce, flatMap)<\/li>
  • Hands-on: WordCount with RDDs<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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    DataFrames in Spark<\/strong><\/p>

    • DataFrames vs RDDs<\/li>
    • \u00a0Creating DataFrames from CSV\/JSON<\/li>
    • Column operations & filtering<\/li>
    • Hands-on:<\/strong> DataFrame transformations<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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      SparkSQL Basics<\/strong><\/p>

      • Running SQL queries inside Spark<\/li>
      • SELECT, WHERE, Joins, GroupBy<\/li>
      • Optimizations with Catalyst & Tungsten<\/li>
      • Hands-on: SparkSQL on sales dataset<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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        Advanced SparkSQL<\/strong><\/p>

        • Window functions (ROW_NUMBER, RANK)<\/li>
        • Aggregations with multiple columns<\/li>
        • Case Study:<\/strong> Customer behavior analysis<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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          PySpark for ETL<\/strong><\/p>

          • PySpark DataFrame API<\/li>
          • Data ingestion, transformation, writing back<\/li>
          • Cleaning & deduplication at scale<\/li>
          • Hands-on:<\/strong> PySpark ETL project<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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            Databricks Introduction<\/strong><\/p>

            • Databricks clusters & notebooks<\/li>
            • Writing jobs in Databricks<\/li>
            • Managing jobs & versioning notebooks<\/li>
            • Mini Project:<\/strong> ETL pipeline on Databricks<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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              Delta Lake Concepts<\/strong><\/p>

              • Why Delta Lake?<\/li>
              • \u00a0Time Travel & Schema Enforcement<\/li>
              • Implementing upserts & deletes with Delta<\/li>
              • \u00a0Hands-on:<\/strong> Delta Lake integration with PySpark<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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                AWS S3 Integration & Wrap-Up<\/strong><\/p>

                • AWS S3 as a Data Lake<\/li>
                • Reading\/writing Spark data to S3<\/li>
                • Securing access with IAM<\/li>
                • Module recap + Mock Interview 2 (Spark + Databricks + S3)<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  Course Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\tTech & Non-Tech Working professional, Freshers, Graduate from any domain.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet your queries solved with daily dedicated doubts solving sessions.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tExperts and trainer for top-tech companies.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t10+ ISO Globally recognized certified\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t100% Live Learning with experienced instructors and hands-on sessions.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tReal time projects\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\tGet practical experience with real-world projects for a career in analytics.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                  Big Data – Intermediate Learning Format Online mode Total training duration 80-90 hrs (2 months) Syllabus 8 weeks Certification Yes Big Data Engineering \u2013 Intermediate This course builds on the basics of Big Data and focuses on practical, real-world data engineering skills. You\u2019ll learn to design scalable data pipelines, process large datasets, and work with tools like Hadoop, Spark, Kafka, and NoSQL databases. The course also covers ETL workflows, cloud data platforms, and data security. Enroll Now Syllabus Summary Week 1 Spark Fundamentals Apache Spark architecture (RDD, DAG, Catalyst optimizer) \u00a0Spark installation \/ cluster basics RDD operations (map, filter, reduce, flatMap) Hands-on: WordCount with RDDs Week 2 DataFrames in Spark DataFrames vs RDDs \u00a0Creating DataFrames from CSV\/JSON Column operations & filtering Hands-on: DataFrame transformations Week 3 SparkSQL Basics Running SQL queries inside Spark SELECT, WHERE, Joins, GroupBy Optimizations with Catalyst & Tungsten Hands-on: SparkSQL on sales dataset Week 4 Advanced SparkSQL Window functions (ROW_NUMBER, RANK) Aggregations with multiple columns Case Study: Customer behavior analysis Week 5 PySpark for ETL PySpark DataFrame API Data ingestion, transformation, writing back Cleaning & deduplication at scale Hands-on: PySpark ETL project Week 6 Databricks Introduction Databricks clusters & notebooks Writing jobs in Databricks Managing jobs & versioning notebooks Mini Project: ETL pipeline on Databricks Week 7 Delta Lake Concepts Why Delta Lake? \u00a0Time Travel & Schema Enforcement Implementing upserts & deletes with Delta \u00a0Hands-on: Delta Lake integration with PySpark Week 8 AWS S3 Integration & Wrap-Up AWS S3 as a Data Lake Reading\/writing Spark data to S3 Securing access with IAM Module recap + Mock Interview 2 (Spark + Databricks + S3) Spark Fundamentals Apache Spark architecture (RDD, DAG, Catalyst optimizer) \u00a0Spark installation \/ cluster basics RDD operations (map, filter, reduce, flatMap) Hands-on: WordCount with RDDs DataFrames in Spark DataFrames vs RDDs \u00a0Creating DataFrames from CSV\/JSON Column operations & filtering Hands-on: DataFrame transformations SparkSQL Basics Running SQL queries inside Spark SELECT, WHERE, Joins, GroupBy Optimizations with Catalyst & Tungsten Hands-on: SparkSQL on sales dataset Advanced SparkSQL Window functions (ROW_NUMBER, RANK) Aggregations with multiple columns Case Study: Customer behavior analysis PySpark for ETL PySpark DataFrame API Data ingestion, transformation, writing back Cleaning & deduplication at scale Hands-on: PySpark ETL project Databricks Introduction Databricks clusters & notebooks Writing jobs in Databricks Managing jobs & versioning notebooks Mini Project: ETL pipeline on Databricks Delta Lake Concepts Why Delta Lake? \u00a0Time Travel & Schema Enforcement Implementing upserts & deletes with Delta \u00a0Hands-on: Delta Lake integration with PySpark AWS S3 Integration & Wrap-Up AWS S3 as a Data Lake Reading\/writing Spark data to S3 Securing access with IAM Module recap + Mock Interview 2 (Spark + Databricks + S3) Course Summary Eligibility Tech & Non-Tech Working professional, Freshers, Graduate from any domain. Live Doubt Solving Get your queries solved with daily dedicated doubts solving sessions. Instructor Experts and trainer for top-tech companies. Certification 10+ ISO Globally recognized certified Mode of Learning 100% Live Learning with experienced instructors and hands-on sessions. Real time projects Get practical experience with real-world projects for a career in analytics. Certification<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-4717","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/4717","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/comments?post=4717"}],"version-history":[{"count":55,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/4717\/revisions"}],"predecessor-version":[{"id":7799,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/4717\/revisions\/7799"}],"wp:attachment":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/media?parent=4717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}