Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud, (Paperback)
Gain practical knowledge about how to use BigQuery to solve data challenges in your organization.
Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud, (Paperback)
Barang #: 102790623

Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud, (Paperback)

Barang #: 102790623

IDR 1230835

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What Stands Out

Cloud-Managed
Leverage Google Cloud’s robust infrastructure for seamless data management. BigQuery reduces operational overhead, allowing users to focus on data analysis instead of maintenance.
Scalable Performance
Effortlessly handle massive datasets with BigQuery’s high performance. Its scalability ensures that businesses can grow without worrying about speed limitations on data processing.
Cost Efficiency
Utilize a pay-as-you-go model that optimizes costs based on usage. BigQuery provides budget-friendly solutions for organizations of all sizes, avoiding costly upfront investments in hardware.

Rincian Produk

Shop Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud, (Paperback) online at a best price in Indonesia. 905092627
  • Create a data warehouse, complete with reporting and dashboards using Google's BigQuery technology. This book takes you from the basic concepts of data warehousing through the design, build, load, and maintenance phases. You will build capabilities to capture data from the operational environment, and then mine and analyze that data for insight into making your business more successful. You will gain practical knowledge about how to use BigQuery to solve data challenges in your organization.BigQuery is a managed cloud platform from Google that provides enterprise data warehousing and reporting capabilities. Part I of this book shows you how to design and provision a data warehouse in the BigQuery platform. Part II teaches you how to load and stream your operational data into the warehouse to make it ready for analysis and reporting. Parts III and IV cover querying and maintaining, helping you keep your information relevant with other Google Cloud Platform services and advanced BigQuery. Part V takes reporting to the next level by showing you how to create dashboards to provide at-a-glance visual representations of your business situation. Part VI provides an introduction to data science with BigQuery, covering machine learning and Jupyter notebooks.What You Will LearnDesign a data warehouse for your project or organizationLoad data from a variety of external and internal sourcesIntegrate other Google Cloud Platform services for more complex workflowsMaintain and scale your data warehouse as your organization growsAnalyze, report, and create dashboards on the information in the warehouseBecome familiar with machine learning techniques using BigQuery MLWho This Book Is ForDevelopers who want to provide business users with fast, reliable, and insightful analysis from operational data, and data analysts interested in a cloud-based solution that avoids the pain of provisioning their own servers.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateOctober, 2020
Pages525
SubgenreDatabase Administration & Management
Series titleNo Series
Edition1
PublisherApress
Original languagesEnglish
LanguageEnglish
Edu focusTechnology
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)7.00 x 1.14 x 10.00 in (17.8 x 2.9 x 25.4 cm)
Assembled product weight2.13 lb (970 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Data Analysts

    Perfect for data analysts seeking to leverage Google Cloud for efficient data warehousing and analytics.

  • Business Intelligence Teams

    Ideal for teams focusing on actionable insights and reporting using advanced data processing capabilities.

  • Tech-Savvy Organizations

    Great for organizations comfortable with cloud technology and looking to enhance their data strategy.

Not Suitable For
  • Beginners

    Not suitable for users unfamiliar with data warehousing concepts or Google Cloud environment.

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