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102790623
Bigquery for Data Warehousing: Managed Data Analysis in the Google Cloud, (Paperback)
90% of respondents would recommend this to a friend
Item #:
102790623
AED 233
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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.
Product Details
- 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 format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2020 |
| Pages | 525 |
| Subgenre | Database Administration & Management |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single 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 weight | 2.13 lb (970 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
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.
-
Beginners
Not suitable for users unfamiliar with data warehousing concepts or Google Cloud environment.
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AED 233
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Features & Benefits
- Learn to design and provision a BigQuery data warehouse.
- Master loading and streaming operational data for analysis.
- Query and maintain your data effectively alongside Google Cloud services.
- Create dynamic dashboards for visual reporting on business metrics.
- Explore machine learning basics using BigQuery ML.
- Ideal for developers and data analysts seeking efficient cloud-based data solutions.
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