Why Attend Snowflake Data Cloud Summit 2024?

Introducing the Snowflake Data Cloud Summit 2024: what to expect & must-attend sessions.

Why Attend Snowflake Data Cloud Summit 2024?

Renowned as the world’s largest Data and AI Conference of the year, the Snowflake Data Cloud Summit 2024, is set to unfold from June 3-6, 2024 at the Moscone Conference Center in San Francisco, CA.

This event marks the pinnacle gathering in the realm of data and AI, promising attendees practical advice from experts in the domains of data, AI, and app development.

This article will give more details as to what to expect from this year’s summit, highlight the importance of attending it and explore some of the must-attend sessions.

P.S. Castordoc will be present at the summit too! Stay tuned to discover more about our participation and how you can engage with our team.

1. What is Snowflake Data Cloud Summit 2024?

Snowflake Data Cloud Summit 2024 is the largest educational data, apps, and AI conference in the world. The four-day event will allow participants to deep dive into Snowflake’s latest tech advancements, strategic business opportunities in the Data Cloud, and insights from industry experts. Expect marquee keynotes, 450+ sessions, 250+ customer speakers, 200+ ecosystem partners, 15+ hands-on labs, and more.

2. Who will attend?

Snowflake Data Cloud Summit 2024 welcomes individuals from all walks of the data ecosystem. The conference is a hub for industry leaders, data practitioners, and technology enthusiasts, facilitating a collaborative exploration of the latest advancements within the Data Cloud. Whether you're a business executive, a data engineer, a software developer, or a security practitioner. There will be something for you at the Data Cloud Summit.

Source: Snowflake

3. This year’s themes and topic:

This year’s Snowflake Data Cloud Summit 2024 theme is the world of Data, Apps and AI Collaboration.The Summit will explore the intricacies of modernizing data architectures, strengthening security measures, and harnessing data for societal betterment in organizations. Attendees can anticipate a deep dive into industry-specific challenges and opportunities, shedding light on the diverse facets of data-driven innovation.

source: Snowflake

4. Types of Sessions at Snowflake Data Cloud Summit

Snowflake Data Cloud Summit 2024 will showcase a variety of sessions, featuring inspiring keynotes, educational breakout sessions, hands-on labs, and networking opportunities.

4.a. Data Cloud Summit Breakout Sessions:

The Snowflake Data Cloud Summit 2024 offers attendees a diverse array of breakout sessions covering 12 tracks, each showcasing the capabilities of the Snowflake Data Cloud. Led by industry experts, customers, and partners, these sessions delve into topics such as: new Snowflake features, machine learning and AI, industry-specific applications, app development, data engineering, governance, compliance, modern data architectures, Snowflake optimization, business intelligence, collaboration, cybersecurity, and marketing strategies. With various formats including panels, deep dives, labs, and more, attendees can anticipate insights and discussions spanning a wide spectrum of data-related subjects.

4.b. Hands-on labs:

At the Snowflake Data Cloud Summit 2024, attendees will engage in practical exercises led by expert instructors, immersing themselves in real-world scenarios. These labs, lasting 120 minutes each, offer dedicated time to explore Snowflake and partner technologies. Participants will have access to clear, step-by-step guides to optimize workloads, refine technical skills, and address any questions they may have. Bringing a laptop is essential for full participation in these interactive learning experiences.

4.c. Certifications:

During the Summit, attendees can get SnowPro certifications, which are seen as a sign of expertise in the data community. You'll have flexible scheduling and various exam dates throughout the week to make it convenient for you.

  • SnowPro Core Certification: Showcase your proficiency in implementing and migrating to Snowflake with this foundational level certification. The certification fee during the Summit will be $150.
  • SnowPro Advanced Certification: Opt for advanced Snowflake knowledge and skills with a choice of five role-based certifications: Architect, Data Engineer, Data Scientist, Administrator, and Data Analyst. Each certification is available for $150 during the Summit.
  • SnowPro Recertification Exams: Keep your SnowPro status current with recertification exams. These shorter exams are available at reduced prices: $88 for Core and $150 for Advanced.

4.d. Trainings

Attendees at the Snowflake Data Cloud Summit 2024 have the opportunity to participate in full-day training sessions on June 3. These sessions, led by expert instructors, include lectures, demonstrations, and hands-on labs. They cover the latest features and best practices of the Snowflake Data Cloud.

  • Beginner Training: Snowflake Foundations - An introductory course for key stakeholders, covering core concepts and design aspects.
  • Advanced Training: Fresh Snow - Discover the latest features for experienced users.

5. Benefits of Attending the Snowflake Data Cloud Summit 2024:

Here are the advantages of attending this year’s summit:

1. Learning Opportunities:

  • Gain insights from industry leaders and experts.
  • Attend keynotes, breakout sessions, hands-on labs, and training.
  • Learn about the latest trends in AI, genAI, Apache Iceberg, streaming, and more.
  • Discover innovative ways to strengthen your data and AI strategy.

2. Networking:

  • Connect with peers, professionals, and potential collaborators to exchange ideas and collaborate on projects and experience the value of meeting peers in person.
  • Engage with thousands of professionals to develop new data assets, services, and applications.
  • Tap into the power of the Data Cloud community to unlock new growth opportunities.

3. Hands-on Experience:

  • Participate in workshops and labs for practical skills development.
  • Get certified with SnowPro™ certifications and recertification.
  • Hear firsthand from industry leaders about harnessing the power of the Data Cloud to lead industries and better serve customers.
  • Explore real-world scenarios and get dedicated time with expert instructors.

6. Must-Attend Sessions at Snowflake Data Cloud Summit 2024:

While there are 400+ sessions to choose from across 12 tracks, here’s a glimpse of the type of sessions you can expect at this year’s Snowflake Data Cloud Summit 2024:

  1. Fostering Responsible AI with Data Quality and Governance for Ethical Innovation, GP203
  2. Empowering CRM with Snowflake and Salesforce: a Gen AI Approach
  3. Best Practices for Optimizing dbt Models: Selecting the Correct Warehouse Size
  4. Refining Business Intelligence in the Age of Generative AI, BI102
  5. Best Practices for Dynamic Tables, DE309
  6. Lessons from Observe: Building Data-Intensive Apps on Snowflake, CY209
  7. Streamlit for BI Analytics Use Cases, BI107
  8. Privacy-Preserving Collaboration: What to Do When You Can't Just 'Share the Data', CO104
  9. Soccer Euro Cup 2024 Prediction: Building a Forecasting Model with Snowpark ML, AI216
  10. Hands-On Lab: Govern and Discover Data, Apps and More in Snowflake Horizon, GP305

Let’s look into the specifics of each session:

Fostering Responsible AI with Data Quality and Governance for Ethical Innovation

The session titled "Fostering Responsible AI with Data Quality and Governance for Ethical Innovation, GP203" underscores the significance of implementing effective AI strategies while prioritizing data quality and robust data governance practices. While AI offers great potential to enhance innovation, efficiency, and competitive edge for organizations, unreliable data can undercut these advantages. Issues like bias, inaccurate predictions, and compromised decisions may emerge, resulting in unethical outcomes and undermining stakeholder trust.

By highlighting the importance of data quality and governance in AI systems, the session aligns with CastorDoc's objective of empowering users with reliable data-driven decision-making capabilities while ensuring compliance with legal and regulatory standards.

Empowering CRM with Snowflake and Salesforce: a Gen AI Approach

The session titled "Empowering CRM with Snowflake and Salesforce: a Gen AI Approach, AI236" demonstrates the potential of integrating Snowflake Data Cloud with Salesforce's CRM platform using generative AI. Attendees will learn how this integration improves sales, service, and marketing functions through real-time analytics, predictive insights, and better decision-making support.

By focusing on the Snowflake-Salesforce integration and the use of generative AI to enhance CRM, the session aligns with CastorDoc's mission of equipping users (from data analysts to marketers) with data-driven decision-making capabilities.

Best Practices for Optimizing dbt Models: Selecting the Correct Warehouse Size

The session titled "Best Practices for Optimizing dbt Models: Selecting the Correct Warehouse Size, DE311" delves into optimizing data pipelines by leveraging dbt and Snowflake together. Attendees will gain insights into establishing a system for tracking dbt models and determining the suitable virtual warehouse size based on Snowflake metadata metrics. Additionally, the session explores integrating Git for model updates using a Python script.

CastorDoc is committed to fostering self-service analytics while upholding data control, enhancing data quality, reliability, and compliance. Understanding the process of optimizing data pipelines and selecting appropriate infrastructure sizes for efficient data processing resonates with our focus on data optimization and efficiency.

Refining Business Intelligence in the Age of Generative AI

The session titled "Refining Business Intelligence in the Age of Generative AI, BI102" sheds light on ThoughtSpot's use of generative AI to transform business intelligence (BI) experiences on the Snowflake platform. Attendees will explore how generative AI-powered analytics can be applied across Snowflake's ecosystem, including ThoughtSpot's live-query, Snowpark advanced analytics, and embedded analytics use cases.

CastorDoc, the first data assistant powered by enterprise-grade governance, finds alignment with this session. It underscores CastorDoc's core value of showcasing the potential of generative AI in BI and analytics.

Best Practices for Dynamic Tables

The session "Best Practices for Dynamic Tables, DE309" provides valuable insights into optimizing data management through Dynamic Tables, aiming for maximum efficiency. Whether attendees are experienced with Dynamic Tables or seeking to learn more, this session offers practical guidance on developing, deploying, operating, and troubleshooting these tables.

Aligned with CastorDoc's mission to improve data quality, reliability, and compliance, the session's strategies for optimizing data management processes and utilizing advanced features like Dynamic Tables resonate with our vision.

Lessons from Observe: Building Data-Intensive Apps on Snowflake

The session "Lessons from Observe: Building Data-Intensive Apps on Snowflake, CY209" explores how Observe leverages Snowflake to create a unified solution for analyzing application and infrastructure performance data. By integrating streaming ingest, relational analytics, search, and real-time monitoring, Observe offers a comprehensive platform for various observability tasks and complex analytics.

Aligned with CastorDoc's mission to facilitate self-service analytics while ensuring data control and quality, this session showcases how Observe utilizes Snowflake to enable diverse observability tasks and complex analytics. It resonates with our aim of enabling efficient data-driven decision-making while upholding data trust and governance.

Moreover, considering CastorDoc's integration with Snowflake, this session could provide valuable insights into leveraging Snowflake effectively within CastorDoc's ecosystem. This integration has the potential to enhance capabilities for data discovery, cataloging, and lineage tracking, further empowering users with comprehensive data management tools.

Streamlit for BI Analytics Use Cases

The session "Streamlit for BI Analytics Use Cases, BI107" introduces attendees to Streamlit's application in business intelligence (BI) scenarios. Streamlit, particularly when integrated with Snowflake, garners praise from Python-proficient data practitioners for its built-in security features and rapid implementation time. The session illustrates how Streamlit facilitates the development of interactive data applications, ranging from simple data input interfaces to more sophisticated applications like LLM chatbots.

This session holds relevance for potential leads interested in CastorDoc, an AI-powered enterprise data intelligence platform. CastorDoc's mission is to enable self-service analytics while ensuring data control, quality, reliability, and compliance. The insights from this session align with CastorDoc's objectives by demonstrating how Streamlit can be applied in BI analytics contexts, potentially informing its strategy for integrating similar interactive data application capabilities.

Privacy-Preserving Collaboration: What to Do When You Can't Just 'Share the Data'

The session "Privacy-Preserving Collaboration: What to Do When You Can't Just 'Share the Data', CO104" provides insights into privacy-preserving technologies and their practical application in business scenarios. It emphasizes the importance of balancing data privacy with utility. Led by speakers from Snowflake and Facteus, the session aims to offer practical guidance on addressing privacy concerns in collaborative settings.

At CastorDoc, we prioritize data governance and compliance while enabling self-service analytics. The insights from this session align with CastorDoc's objectives by addressing privacy concerns and offering guidance on effectively implementing privacy-preserving technologies. Attendees can gain valuable knowledge about best practices for ensuring data privacy in collaborative environments to support secure data collaboration and governance for our users.

Soccer Euro Cup 2024 Prediction: Building a Forecasting Model with Snowpark ML

The session "Soccer Euro Cup 2024 Prediction: Building a Forecasting Model with Snowpark ML, AI216" provides an overview of using Snowpark ML to create a comprehensive forecasting model. Specifically, it focuses on developing a model to predict the winner of the Euro Cup 2024.

The insights shared in this session demonstrate the capabilities of Snowpark ML in constructing advanced forecasting models and seamlessly integrating them into operational workflows.

Hands-On Lab: Govern and Discover Data, Apps and More in Snowflake Horizon

The hands-on lab "Govern and Discover Data, Apps and More in Snowflake Horizon, GP305" caters to data governors, stewards, security administrators, and data users. Throughout the lab, participants will gain proficiency in governing and discovering data within Snowflake Horizon's unified capabilities.

CastorDoc prioritizes enabling self-service analytics while upholding data governance and compliance. Therefore, the lab's focus on governing and discovering data within Snowflake Horizon perfectly aligns with our objectives. Attendees acquire hands-on experience in consolidating data, visualizing lineage, and implementing precise policies—essential skills that shape CastorDoc's strategy in empowering users with secure, compliant, and streamlined data access.

7. Castordoc at Snowflake Data Cloud Summit 2024:

As mentioned earlier, Castordoc will also be present at the Snowflake Data Cloud Summit 2024 in June ! Join us there to connect with the our team and discover how we're transforming enterprise data intelligence. At our booth 1312, you can:

  • Sign up for a personalized demo
  • Set up 1:1 data strategy consultation
  • Grab some free merch and goodies

Our platform equips users with robust data-driven decision-making capabilities while ensuring trust and control over their data. With features like natural language search, AI-driven data evaluations, and seamless integrations with your preferred tools, CastorDoc transforms the data experience. Visit our booth and discover why our users appreciate CastorDoc's autonomy, trustworthiness, and efficiency features.

8. Castordoc is not only a Snowflake Data Cloud Summit 2024 partner but it is also integrated to the snowflake tool

CastorDoc, beyond being a Summit partner, integrates with Snowflake, offering enhanced capabilities for data discovery and governance within the Snowflake platform. While Snowflake provides a robust cloud-based data warehouse service, locating relevant data assets and understanding their lineage efficiently can pose challenges. CastorDoc addresses these challenges by optimizing data search through popularity and advanced filtering options, alongside providing lineage information between data warehouse tables and other assets. This integration enriches the user experience by facilitating quick data discovery, improving lineage understanding, and ultimately fostering trust and visibility in the data. With CastorDoc integrated with Snowflake, businesses can make faster, more informed decisions in today's fast-paced environment.

Beyond our Snowflake integration, CastorDoc also seamlessly integrates with over 80 data warehouses, visualization, quality, and collaboration tools, ensuring compatibility with diverse data stacks. Whether your organization utilizes Snowflake or another data platform, CastorDoc offers comprehensive support for data governance, discovery, and analytics. To explore how CastorDoc can enhance your data intelligence capabilities, you can visit our website for more information.

New Release
Share

Get in Touch to Learn More

See Why Users Love CastorDoc
Fantastic tool for data discovery and documentation

“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data