{"product_id":"optimizing-databricks-workloads-harness-the-power-of-apache-spark-in-azure-and-maximize-the-performance-of-modern-big-data-workloads-paperback","title":"Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads - Paperback","description":"\u003cp\u003eby \u003cb\u003eAnirudh Kala\u003c\/b\u003e (Author), \u003cb\u003eAnshul Bhatnagar\u003c\/b\u003e (Author), \u003cb\u003eSarthak Sarbahi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAccelerate computations and make the most of your data effectively and efficiently on Databricks\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand Spark optimizations for big data workloads and maximizing performance\u003c\/li\u003e\n\u003cli\u003eBuild efficient big data engineering pipelines with Databricks and Delta Lake\u003c\/li\u003e\n\u003cli\u003eEfficiently manage Spark clusters for big data processing\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDatabricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud.\u003c\/p\u003e\u003cp\u003eIn Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet to grips with Spark fundamentals and the Databricks platform\u003c\/li\u003e\n\u003cli\u003eProcess big data using the Spark DataFrame API with Delta Lake\u003c\/li\u003e\n\u003cli\u003eAnalyze data using graph processing in Databricks\u003c\/li\u003e\n\u003cli\u003eUse MLflow to manage machine learning life cycles in Databricks\u003c\/li\u003e\n\u003cli\u003eFind out how to choose the right cluster configuration for your workloads\u003c\/li\u003e\n\u003cli\u003eExplore file compaction and clustering methods to tune Delta tables\u003c\/li\u003e\n\u003cli\u003eDiscover advanced optimization techniques to speed up Spark jobs\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark\/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 230\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.48 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 24, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51783802716448,"sku":"9781801819077","price":66.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/713d53c7f1878078dc85e71e2e9ce4af.webp?v=1780594835","url":"https:\/\/ebocreations.com\/products\/optimizing-databricks-workloads-harness-the-power-of-apache-spark-in-azure-and-maximize-the-performance-of-modern-big-data-workloads-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}