Leading Christian Resource for Avid Readers, Support New Schools with Every Purchase.

Snowflake Cookbook: Techniques for building modern cloud data warehousing solutions

Paperback |English |1800560613 | 9781800560611

Snowflake Cookbook: Techniques for building modern cloud data warehousing solutions

Paperback |English |1800560613 | 9781800560611
Overview

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations

Key Features

  • Build and scale modern data solutions using the all-in-one Snowflake platform
  • Perform advanced cloud analytics for implementing big data and data science solutions
  • Make quicker and better-informed business decisions by uncovering key insights from your data

Book Description

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.

You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.

As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.

By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

What you will learn

  • Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
  • Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
  • Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
  • Optimize performance and costs associated with a Snowflake solution
  • Stage data on object stores and load it into Snowflake
  • Secure data and share it efficiently for access
  • Manage transactions and extend Snowflake using stored procedures
  • Extend cloud data applications using Spark Connector

Who this book is for

This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Table of Contents

  1. Getting Started with Snowflake
  2. Managing the Data Life Cycle
  3. Loading and Extracting Data into and out of Snowflake
  4. Building Data Pipelines in Snowflake
  5. Data Protection and Security in Snowflake
  6. Performance and Cost Optimization
  7. Secure Data Sharing
  8. Back to the Future with Time Travel
  9. Advanced SQL Techniques
  10. Extending Snowflake's Capabilities
ISBN: 1800560613
ISBN13: 9781800560611
Author: Hamid Mahmood Qureshi, Hammad Sharif
Publisher: Packt Publishing
Format: Paperback
PublicationDate: 2021-02-25
Language: English
PageCount: 330
Dimensions: 7.5 x 0.75 x 9.25 inches
Weight: 20.0 ounces

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations

Key Features

  • Build and scale modern data solutions using the all-in-one Snowflake platform
  • Perform advanced cloud analytics for implementing big data and data science solutions
  • Make quicker and better-informed business decisions by uncovering key insights from your data

Book Description

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.

You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.

As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.

By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

What you will learn

  • Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
  • Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
  • Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
  • Optimize performance and costs associated with a Snowflake solution
  • Stage data on object stores and load it into Snowflake
  • Secure data and share it efficiently for access
  • Manage transactions and extend Snowflake using stored procedures
  • Extend cloud data applications using Spark Connector

Who this book is for

This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Table of Contents

  1. Getting Started with Snowflake
  2. Managing the Data Life Cycle
  3. Loading and Extracting Data into and out of Snowflake
  4. Building Data Pipelines in Snowflake
  5. Data Protection and Security in Snowflake
  6. Performance and Cost Optimization
  7. Secure Data Sharing
  8. Back to the Future with Time Travel
  9. Advanced SQL Techniques
  10. Extending Snowflake's Capabilities

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning.

He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles.

Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.

Books - New and Used

The following guidelines apply to books:

  • New: A brand-new copy with cover and original protective wrapping intact. Books with markings of any kind on the cover or pages, books marked as "Bargain" or "Remainder," or with any other labels attached, may not be listed as New condition.
  • Used - Good: All pages and cover are intact (including the dust cover, if applicable). Spine may show signs of wear. Pages may include limited notes and highlighting. May include "From the library of" labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media.
  • Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may but the dust cover may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.

Note: Some electronic material access codes are valid only for one user. For this reason, used books, including books listed in the Used – Like New condition, may not come with functional electronic material access codes.

Shipping Fees

  • Stevens Books offers FREE SHIPPING everywhere in the United States for ALL non-book orders, and $3.99 for each book.
  • Packages are shipped from Monday to Friday.
  • No additional fees and charges.

Delivery Times

The usual time for processing an order is 24 hours (1 business day), but may vary depending on the availability of products ordered. This period excludes delivery times, which depend on your geographic location.

Estimated delivery times:

  • Standard Shipping: 5-8 business days
  • Expedited Shipping: 3-5 business days

Shipping method varies depending on what is being shipped.  

Tracking
All orders are shipped with a tracking number. Once your order has left our warehouse, a confirmation e-mail with a tracking number will be sent to you. You will be able to track your package at all times. 

Damaged Parcel
If your package has been delivered in a PO Box, please note that we are not responsible for any damage that may result (consequences of extreme temperatures, theft, etc.). 

If you have any questions regarding shipping or want to know about the status of an order, please contact us or email to support@stevensbooks.com.

You may return most items within 30 days of delivery for a full refund.

To be eligible for a return, your item must be unused and in the same condition that you received it. It must also be in the original packaging.

Several types of goods are exempt from being returned. Perishable goods such as food, flowers, newspapers or magazines cannot be returned. We also do not accept products that are intimate or sanitary goods, hazardous materials, or flammable liquids or gases.

Additional non-returnable items:

  • Gift cards
  • Downloadable software products
  • Some health and personal care items

To complete your return, we require a tracking number, which shows the items which you already returned to us.
There are certain situations where only partial refunds are granted (if applicable)

  • Book with obvious signs of use
  • CD, DVD, VHS tape, software, video game, cassette tape, or vinyl record that has been opened
  • Any item not in its original condition, is damaged or missing parts for reasons not due to our error
  • Any item that is returned more than 30 days after delivery

Items returned to us as a result of our error will receive a full refund,some returns may be subject to a restocking fee of 7% of the total item price, please contact a customer care team member to see if your return is subject. Returns that arrived on time and were as described are subject to a restocking fee.

Items returned to us that were not the result of our error, including items returned to us due to an invalid or incomplete address, will be refunded the original item price less our standard restocking fees.

If the item is returned to us for any of the following reasons, a 15% restocking fee will be applied to your refund total and you will be asked to pay for return shipping:

  • Item(s) no longer needed or wanted.
  • Item(s) returned to us due to an invalid or incomplete address.
  • Item(s) returned to us that were not a result of our error.

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, please Contact Us with your order number and details about the product you would like to return. We will respond quickly with instructions for how to return items from your order.


Shipping Cost


We'll pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.). In other cases, you will be responsible for paying for your own shipping costs for returning your item. Shipping costs are non-refundable. If you receive a refund, the cost of return shipping will be deducted from your refund.

Depending on where you live, the time it may take for your exchanged product to reach you, may vary.

If you are shipping an item over $75, you should consider using a trackable shipping service or purchasing shipping insurance. We don’t guarantee that we will receive your returned item.

$69.72

    Condition

Arrives: -
In Stock

Overview

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations

Key Features

  • Build and scale modern data solutions using the all-in-one Snowflake platform
  • Perform advanced cloud analytics for implementing big data and data science solutions
  • Make quicker and better-informed business decisions by uncovering key insights from your data

Book Description

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.

You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.

As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.

By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

What you will learn

  • Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
  • Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
  • Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
  • Optimize performance and costs associated with a Snowflake solution
  • Stage data on object stores and load it into Snowflake
  • Secure data and share it efficiently for access
  • Manage transactions and extend Snowflake using stored procedures
  • Extend cloud data applications using Spark Connector

Who this book is for

This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Table of Contents

  1. Getting Started with Snowflake
  2. Managing the Data Life Cycle
  3. Loading and Extracting Data into and out of Snowflake
  4. Building Data Pipelines in Snowflake
  5. Data Protection and Security in Snowflake
  6. Performance and Cost Optimization
  7. Secure Data Sharing
  8. Back to the Future with Time Travel
  9. Advanced SQL Techniques
  10. Extending Snowflake's Capabilities
ISBN: 1800560613
ISBN13: 9781800560611
Author: Hamid Mahmood Qureshi, Hammad Sharif
Publisher: Packt Publishing
Format: Paperback
PublicationDate: 2021-02-25
Language: English
PageCount: 330
Dimensions: 7.5 x 0.75 x 9.25 inches
Weight: 20.0 ounces

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations

Key Features

  • Build and scale modern data solutions using the all-in-one Snowflake platform
  • Perform advanced cloud analytics for implementing big data and data science solutions
  • Make quicker and better-informed business decisions by uncovering key insights from your data

Book Description

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses.

You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data.

As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.

By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.

What you will learn

  • Get to grips with data warehousing techniques aligned with Snowflake's cloud architecture
  • Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem
  • Transfer skills from on-premise data warehousing to the Snowflake cloud analytics platform
  • Optimize performance and costs associated with a Snowflake solution
  • Stage data on object stores and load it into Snowflake
  • Secure data and share it efficiently for access
  • Manage transactions and extend Snowflake using stored procedures
  • Extend cloud data applications using Spark Connector

Who this book is for

This book is for data warehouse developers, data analysts, database administrators, and anyone involved in designing, implementing, and optimizing a Snowflake data warehouse. Knowledge of data warehousing and database and cloud concepts will be useful. Basic familiarity with Snowflake is beneficial, but not necessary.

Table of Contents

  1. Getting Started with Snowflake
  2. Managing the Data Life Cycle
  3. Loading and Extracting Data into and out of Snowflake
  4. Building Data Pipelines in Snowflake
  5. Data Protection and Security in Snowflake
  6. Performance and Cost Optimization
  7. Secure Data Sharing
  8. Back to the Future with Time Travel
  9. Advanced SQL Techniques
  10. Extending Snowflake's Capabilities

Hamid Qureshi is a senior cloud and data warehouse professional with almost two decades of total experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. He has extensive experience and certifications across various data analytics platforms, ranging from Teradata, Oracle, and Hadoop to modern, cloud-based tools such as Snowflake. Having worked extensively with traditional technologies, combined with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has subsequently captured in his publications.

Hammad Sharif is an experienced data architect with more than a decade of experience in the information domain, covering governance, warehousing, data lakes, streaming data, and machine learning.

He has worked with a leading data warehouse vendor for a decade as part of a professional services organization, advising customers in telco, retail, life sciences, and financial industries located in Asia, Europe, and Australia during presales and post-sales implementation cycles.

Hammad holds an MSc. in computer science and has published conference papers in the domains of machine learning, sensor networks, software engineering, and remote sensing.

Books - New and Used

The following guidelines apply to books:

  • New: A brand-new copy with cover and original protective wrapping intact. Books with markings of any kind on the cover or pages, books marked as "Bargain" or "Remainder," or with any other labels attached, may not be listed as New condition.
  • Used - Good: All pages and cover are intact (including the dust cover, if applicable). Spine may show signs of wear. Pages may include limited notes and highlighting. May include "From the library of" labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media.
  • Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may but the dust cover may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.

Note: Some electronic material access codes are valid only for one user. For this reason, used books, including books listed in the Used – Like New condition, may not come with functional electronic material access codes.

Shipping Fees

  • Stevens Books offers FREE SHIPPING everywhere in the United States for ALL non-book orders, and $3.99 for each book.
  • Packages are shipped from Monday to Friday.
  • No additional fees and charges.

Delivery Times

The usual time for processing an order is 24 hours (1 business day), but may vary depending on the availability of products ordered. This period excludes delivery times, which depend on your geographic location.

Estimated delivery times:

  • Standard Shipping: 5-8 business days
  • Expedited Shipping: 3-5 business days

Shipping method varies depending on what is being shipped.  

Tracking
All orders are shipped with a tracking number. Once your order has left our warehouse, a confirmation e-mail with a tracking number will be sent to you. You will be able to track your package at all times. 

Damaged Parcel
If your package has been delivered in a PO Box, please note that we are not responsible for any damage that may result (consequences of extreme temperatures, theft, etc.). 

If you have any questions regarding shipping or want to know about the status of an order, please contact us or email to support@stevensbooks.com.

You may return most items within 30 days of delivery for a full refund.

To be eligible for a return, your item must be unused and in the same condition that you received it. It must also be in the original packaging.

Several types of goods are exempt from being returned. Perishable goods such as food, flowers, newspapers or magazines cannot be returned. We also do not accept products that are intimate or sanitary goods, hazardous materials, or flammable liquids or gases.

Additional non-returnable items:

  • Gift cards
  • Downloadable software products
  • Some health and personal care items

To complete your return, we require a tracking number, which shows the items which you already returned to us.
There are certain situations where only partial refunds are granted (if applicable)

  • Book with obvious signs of use
  • CD, DVD, VHS tape, software, video game, cassette tape, or vinyl record that has been opened
  • Any item not in its original condition, is damaged or missing parts for reasons not due to our error
  • Any item that is returned more than 30 days after delivery

Items returned to us as a result of our error will receive a full refund,some returns may be subject to a restocking fee of 7% of the total item price, please contact a customer care team member to see if your return is subject. Returns that arrived on time and were as described are subject to a restocking fee.

Items returned to us that were not the result of our error, including items returned to us due to an invalid or incomplete address, will be refunded the original item price less our standard restocking fees.

If the item is returned to us for any of the following reasons, a 15% restocking fee will be applied to your refund total and you will be asked to pay for return shipping:

  • Item(s) no longer needed or wanted.
  • Item(s) returned to us due to an invalid or incomplete address.
  • Item(s) returned to us that were not a result of our error.

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, please Contact Us with your order number and details about the product you would like to return. We will respond quickly with instructions for how to return items from your order.


Shipping Cost


We'll pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.). In other cases, you will be responsible for paying for your own shipping costs for returning your item. Shipping costs are non-refundable. If you receive a refund, the cost of return shipping will be deducted from your refund.

Depending on where you live, the time it may take for your exchanged product to reach you, may vary.

If you are shipping an item over $75, you should consider using a trackable shipping service or purchasing shipping insurance. We don’t guarantee that we will receive your returned item.

Categories
X

Oops!

Sorry, it looks like some products are not available in selected quantity.

OK

Sign up to the Stevens Books Newsletter

For the latest books, recommendations, author interviews and more

By signing up, I confirm that I'm over 16. To find out what personal data we collect and how we use it, please visit. our Privacy Policy.