{"id":26084,"date":"2020-04-02T14:46:50","date_gmt":"2020-04-02T09:16:50","guid":{"rendered":"https:\/\/www.flexmind.co\/?post_type=product&#038;p=26084"},"modified":"2022-10-27T02:03:31","modified_gmt":"2022-10-26T20:33:31","slug":"dp-203-data-engineering-on-microsoft-azure","status":"publish","type":"product","link":"https:\/\/www.flexmind.co\/product\/dp-203-data-engineering-on-microsoft-azure\/","title":{"rendered":"DP-203: Data Engineering on Microsoft Azure"},"content":{"rendered":"<p>Data Engineering on Microsoft Azure(DP-203), the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. <\/p>\n<p>Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files.<\/p>\n<p>The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. <\/p>\n<p>The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data.<\/p>\n<p>The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit.<\/p>\n<p>Data Engineering on Microsoft Azure(DP-203) will build on these topics with hands-on lab learnings and Knowledge Check questions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files.<\/p>\n<p>The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data.<\/p>\n<p>The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit.<\/p>\n<p>This course will build on these topics with hands-on lab learnings and Knowledge Check questions.<\/p>\n<div class=\"row mt-4 gy-4\">\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-laptop-code fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Microsoft Courseware<\/p>\n<\/div>\n<\/div>\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-person-chalkboard fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Instructor-Led Training<\/p>\n<\/div>\n<\/div>\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-clock fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Course Duration: 4-Days (32-Hour)<\/p>\n<\/div>\n<\/div>\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-flask fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Microsoft Official Lab Exercises<\/p>\n<\/div>\n<\/div>\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-pen-to-square fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Courseware Life Time Free Upgrade<\/p>\n<\/div>\n<\/div>\n<div class=\"col-4 col-md-2\">\n<div class=\"text-center\">\n<p><i class=\"fa-regular fa-cloud fa-2x text-primary mb-2\"><\/i><\/p>\n<p class=\"fw-bold\">Cloud Lab Access<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"featured_media":34548,"template":"","meta":{"_glsr_average":5,"_glsr_ranking":3.9285714285714,"_glsr_reviews":4},"product_cat":[165,124],"product_tag":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/product\/26084"}],"collection":[{"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/media\/34548"}],"wp:attachment":[{"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/media?parent=26084"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/product_cat?post=26084"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/www.flexmind.co\/wp-json\/wp\/v2\/product_tag?post=26084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}