Jumpstart Snowflake (eBook)
XIII, 267 Seiten
Apress (Verlag)
978-1-4842-5328-1 (ISBN)
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud.
With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use.
Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses.
What You Will Learn
- Know the key functionalities of Snowflake
- Set up security and access with cluster
- Bulk load data into Snowflake using the COPY command
- Migrate from a legacy data warehouse to Snowflake
- integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools
Who This Book Is For
Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users
Dmitry Anoshin is a data-centric technologist and recognized expert in building and implementing business/digital intelligence solutions. He has a successful track record of implementing analytics projects in numerous industries: retail, finance, marketing, and eCommerce. He possesses an in-depth knowledge of BI, ETL, DWH, and big data technologies and is experienced in data integration processes and proficient use of various data warehousing methodologies. He completed and met deadlines for a number of multinational full BI solution life cycle implementation projects.
Dmitry Shirokov is a Data Architect & Cloud Analytics Consultant at Rock Your Data, focused on digital transformation, design analytics solutions, data integration and migration, data governance, and cloud/in-house infrastructure. With over 10 years of experience in data analytics and big data, he has the breadth and depth of experience needed to build mature analytical solutions. Before joining Rock Your Data in early 2018, he worked in different companies in tech consulting and banking sectors. Previously, he held various data-engineering positions focusing on data-driven business transformation.
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud.With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses.What You Will LearnKnow the key functionalities of SnowflakeSet up security and access with clusterBulk load data into Snowflake using the COPY commandMigrate from a legacy data warehouse to Snowflakeintegrate the Snowflake data platform with modern business intelligence (BI) and data integration toolsWho This Book Is ForThose working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users
| Erscheint lt. Verlag | 20.12.2019 |
|---|---|
| Zusatzinfo | XIII, 267 p. 115 illus. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Big Data Solutions • Business Intelligence • Cloud analytics • Data Warehouse • Data Warehouse modernization • ELT • ETL • snowflake • Spark |
| ISBN-10 | 1-4842-5328-0 / 1484253280 |
| ISBN-13 | 978-1-4842-5328-1 / 9781484253281 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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