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  3. Snowflake - Applications and Implementation

Snowflake - Applications and Implementation

This course covers the fundamental concepts, design considerations, and best practices intended for key stakeholders who will be working on the Snowflake Cloud Data Platform.

Hamid Qureshi
Hamid Qureshi
Data Science | intermediate | 5 hours 35 minutes |   Published: Nov 2020

    Discussions

Overview

2.1KSTUDENTS*
94%RECOMMEND*

This course includes:

  • 5+ hours of on-demand video
  • 6 modules
  • Core level
  • Direct access/chat with the instructor
  • 100% self-paced online
  • Many downloadable resources
  • Shareable certificate of completion
This course covers the fundamental concepts, design considerations, and best practices intended for key stakeholders who will be working on the Snowflake Cloud Data Platform. Snowflake is the leading solution for warehousing in the cloud. It is built for the cloud. Snowflake delivers the performance, concurrency and simplicity needed to store and analyze all of an organization’s data in one solution. Snowflake’s technology combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions

Skills You Will Gain

Big Data
Cloud
Data Warehouse

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

Learning Objectives (At the end of this course, you will be able to…):

  • Illustrate the unique and differentiated architecture of the Snowflake Cloud Data Platform
  • Load and transform data
  • Evaluate Query Constructs and DDL & DML Operations
  • Review Snowflakes broad SQL support for data analysis
  • Describe how user and application access can be easily managed
  • Demonstrate best practices for working with semi-structured data
  • Discuss how Snowflake provides a unique approach to caching Examine the various ways to connect and interact with the Snowflake Platform
  • Employ Snowflake’s method for continuous data protection
  • Utilize Data Sharing to send your data in real-time to Customers and Partners
  • Scale your Virtual Warehouse for performance and concurrency
  • Explain the different ways you can manage and monitor your Snowflake account

Prerequisites

  • A basic level of conceptual understanding of data warehouses is assumed, as well as an awareness of the core functions of SQL.

Who Should Attend

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Database Architects
  • Database Administrators

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
Hamid Qureshi

Hamid Qureshi

With over two decades of experience in data-centric solutions, Hamid Qureshi brings a wealth of expertise in architecting and implementing robust data warehouse infrastructures and cloud-based ecosystems. His career spans a wide range of industries including Financial Services, Retail, and Healthcare, where he has led the development of comprehensive data governance frameworks and advanced data lake solutions. A hands-on practitioner with a strategic mindset, Hamid Qureshi seamlessly blends technical acumen with business insight to drive successful data platform implementations that align with and exceed business objectives. He has held pivotal roles at global firms, where he has spearheaded complex information architecture projects and data governance initiatives with lasting impact. Known for his ability to engage effectively with stakeholders at all levels—from senior executives to technical teams—Hamid Qureshi has a proven track record of delivering scalable, efficient data solutions. His passion for automation and simplification fuels innovation in data processes, consistently resulting in increased operational efficiency and substantial cost savings for clients. Specializing in Snowflake-based data warehousing and business intelligence, Hamid Qureshi is certified and highly proficient. He has authored industry-recognized courses and books on the subject, reinforcing his reputation as a thought leader in the field. Beyond project execution, Hamid Qureshi is committed to mentorship and talent development within the data engineering and analytics community. He actively shares insights from his extensive career, helping to shape the next generation of data professionals.
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