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Report Apr 03, 2023

Making Snowflake Part of Your Modern Data Platform

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Photo of Kathy McDermott Kathy McDermott
Photo of Kathy McDermott

Kathy McDermott

Managing Director, Research

Kathy McDermott has more than 25 years of experience in the financial services industry. Kathy, who joined Cutter Associates in 2011, has authored multiple Cutter Research reports on a wide range of topics. She spent ten years as a consultant for a variety of asset management firms, with a focus on business analysis for front- and middle-office projects. Kathy was previously the senior business analyst, equity trading systems, at Wellington Management, specializing in the firm’s proprietary electronic and basket trading applications. Earlier in her career, Kathy worked for Thomson Financial Services (now Thomson Reuters), supporting FirstCall and PORTIA clients in Hong Kong, Japan, Singapore, and Thailand, and later went on to manage PORTIA implementations. She also worked at LongView (now Linedata) as an account manager and then product manager of electronic trading. Kathy earned her bachelor of arts in mathematics from Hamilton College.

Recent research assignments and publications include the following:

  • Alternative Data and the Expanding Universe of Investment Information
  • Cutter Benchmarking: Data Management
  • Cutter Benchmarking: Market Data Administration
  • DataOps: In Theory and Practice
  • Enabling Data Analytics
  • The Evolving Front Office Support Model
  • Evolving Data Governance: Building a Data Culture
  • Making Snowflake Part of Your Modern Data Platform
  • Managed Data Services
  • Market Data Administration
  • Order Management Systems
  • Outsourced Trading: Has the Time Come?
  • Reference Data Management Solutions
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Snowflake is fast becoming an integral component in modern data platforms. In this whitepaper, we explore drivers for choosing Snowflake, some common tools used with Snowflake, and share some tips for a successful Snowflake implementation.

Cutter defines a modern data platform as a collection of cloud-native tools centered on a cloud data warehouse or data lakehouse, which together comprise a best-of-breed data platform to enable a data-driven organization.

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