Snowflake Summit 2023

Snowflake Summit 2023
How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning. Attend Snowflake Summit 2023 to learn how to access, build, and monetize data, tools, models, and applications in ways that were previously unimaginable. Enable seamless alignment and collaboration across these crucial functions in the Data Cloud to transform nearly every aspect of your organization. At Summit, you’ll hear all about the latest innovations coming to the Data Cloud, and learn from hundreds of technical, data, and business experts about what’s possible for you and your organization in a world of data collaboration.

Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res


OTHER PAST CONFERENCES

DataConnect Conference

July 20-21, 2023 | USA

The annual DataConnect Conference brings together industry leaders, technical experts and entrepreneurs to discuss the latest trends, advancements, technologies, and innovations in data, analytics, machine learning, and AI.

4th Annual Big Data & Analytics West Summit

November 14-15, 2023 | Canada

Join the 4th Annual Big Data & Analytics West Summit this November! Network and collaborate with leading data experts from a wide variety of industry sectors across Western Canada. Secure your spot today and: Cultivate an innovative data culture and scale out holistic data accessibility throughout your company. Harness the latest data governance strategies and create an advanced framework to keep your data secure. Transform your organization’s approach to storage strategies with data lakes to achieve rapid processing. Optimize your business insights for improved decision-making. Monetize your data to maximize your ROI. Leave with best practices from 40+ big data executives. Get your ticket to join Western Canada’s leading organizations, including Netflix, Digital Commerce Bank, Rogers Sports and Media, Coast Capital Savings, HOOPP, Finning, Apotex, City of Red Deer, and many more!

TDWI Executive Summit for Analytics

August 7-8, 2023 | USA

Come to San Diego and participate in an interactive summit designed for business, data science, and IT leaders who are responsible for selecting, managing, and delivering value from analytics applications, AI/ML, business intelligence, and the data that fuels them. Organizations count on analytics to innovate, attract and retain customers, improve efficiency, and determine risk amid today’s unpredictable and fast-changing economic landscape. However, TDWI finds that many struggle to move ahead. Organizations face difficulties that lead to user frustration, errors, and higher costs. As your analytics models, workloads, and data pipelines grow in number and complexity, orchestrating the journey into production and operationalization is a challenge.

Data Architecture Online

July 12, 2023 | USA

The annual Data Architecture Online event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day of live, webinar-style sessions. Registration is free and gives you access to the sessions presented throughout the day, the live Q&A with the speakers, and all recorded presentations and materials.

Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

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