Price: (as of – Details) Gain hands-on experience in building efficient and scalable big data architecture on Kubernetes, utilizing leading technologies such as Spark, Airflow, Kafka, and Trino Key Features: – Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools – Explore best practices for optimizing the performance of big

Price: (as of – Details) Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features: Translate and implement conceptual architectures with the right Azure servicesInject artificial

Price: (as of – Details) Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your data Key Features: – Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake

Price: (as of – Details) CLOUD COMPUTING SOLUTIONS The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. This book discusses the evolution of cloud computing through grid computing and cluster