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    Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi - okladka książki

    Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi - okladka książki

    Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi - audiobook MP3

    Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi - audiobook CD

    Autorzy:
    Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    230
    Dostępne formaty:
         PDF
         ePub
    Databricks 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.
    In 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.
    By 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.

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    O autorach książki

    Anirudh Kala is an expert in machine learning techniques, artificial intelligence, and natural language processing. He has helped multiple organizations to run their large-scale data warehouses with quantitative research, natural language generation, data science exploration, and big data implementation. He has worked in every aspect of data analytics using the Azure data platform. Currently, he works as the director of Celebal Technologies, a data science boutique firm dedicated to large-scale analytics. Anirudh holds a computer engineering degree from the University of Rajasthan and his work history features the likes of IBM and ZS Associates.
    Anshul Bhatnagar is an experienced, hands-on data architect involved in the architecture, design, and implementation of data platform architectures, and distributed systems. He has worked in the IT industry since 2015 in a range of roles such as Hadoop/Spark developer, data engineer, and data architect. He has also worked in many other sectors including energy, media, telecoms, and e-commerce. He is currently working for a data and AI boutique company, Celebal Technologies, in India. He is always keen to hear about new ideas and technologies in the areas of big data and AI, so look him up on LinkedIn to ask questions or just to say hi.
    Sarthak Sarbahi is a certified data engineer and analyst with a wide technical breadth and a deep understanding of Databricks. His background has led him to a variety of cloud data services with an eye toward data warehousing, big data analytics, robust data engineering, data science, and business intelligence. Sarthak graduated with a degree in mechanical engineering.

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