Snowflake + Tableau best practices
Learn how to exploit the full potential of Snowflake with Tableau by applying best practices in modeling, query optimization and visualization.
Why choose Snowflake for your data architecture?
Snowflake is an agile alternative to traditional data warehouse architectures. Its full SaaS approach reduces infrastructure costs, boosts flexibility and enables data projects to evolve without major technical constraints.
Users can connect to Snowflake from their usual analytical tools (Tableau, Power BI, Alteryx, etc.), while data teams benefit from a high-performance environment for querying, transforming or sharing data.
By integrating Snowflake into their information systems, companies can strengthen governance, secure access and accelerate time-to-insight for all data uses.
Artificial intelligence at the heart of Snowflake
Snowflake isn’t just a storage and processing platform: it’s also becoming a catalyst for AI projects. Thanks to features like Snowpark, teams can develop advanced processing and machine learning models in Python or Scala directly in the Snowflake environment, without extracting data.
With Snowflake Cortex, the platform natively integrates generative and predictive AI models, accessible via SQL or API, to create intelligent assistants, analyze free text or enrich dashboards with AI. Snowflake also facilitates integration with open source or proprietary models, hosted in the cloud or in connected notebooks.
ActinVision supports its customers in the pragmatic adoption of AI in Snowflake: scoping use cases, architecture, model development, automated scoring or text generation, etc. The aim: to turn artificial intelligence into an operational lever integrated into your data pipelines.
Our Snowflake training courses
Oney Data customer testimonial
“The partnership between Oney Data and ActinVision has been an essential lever in our digital transformation. With ActinVision’s help, the adoption of the Snowflake cloud datawarehouse was perfectly orchestrated, enabling a smooth and efficient transition. ActinVision supported us in optimizing our processes, simplifying resource management and implementing advanced analytical solutions.
This tailor-made support enabled us to reduce report production times while enriching the available analyses. A strategic collaboration, which illustrates how an experienced partner can maximize the value of cloud technologies to meet the complex challenges of modern businesses.”
Élodie Perrigaud, CDO, Oney Data
ActinVision, Snowflake expert partner
Our Snowflake expertise is based on a comprehensive, modular approach:
- Audit and definition of target architecture
- Migrating your systems to Snowflake
- Optimizing performance and costs
- Securing access and establishing governance
- Integration of analytical and AI tools
- Training for data and business profiles
SuperMag(26)
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Tableau 2024 conference
At this 2024 edition of the Tableau conference, a third phase seems to have been identified, focused on personalization and the impact of artificial intelligence in users’ interactions with data and insights. The aim is to make data and AI accessible to all. So, with AI at the center of discussions, two keywords emerged: trust and culture. Particular emphasis was placed on the importance of a solid data culture within organizations, which is indispensable for responding to the sector’s new uses.
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DBT Cloud and its new features
Data Build Tool or DBT ensures the transformation, quality and governance of your data. It represents the T in an ELT process. This tool enables you to define stored procedures (SQL), submit them to version management (with GIT), and execute them in a scheduled manner on your data platform (Snowflake, BigQuery, Synapse, Redshift, etc.) to obtain Datamarts ready for use by your analysis tools (Tableau, Power BI, Looker, ThoughtSpot).
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Tableau Pulse: Analytics and AI
Tableau’s latest innovation, named Tableau Pulse, promises to radically transform the way users interact with their data. Replacing Ask Data and Tableau Metrics, Tableau Pulse offers a completely redesigned user experience, focused on the democratization of data visualization.
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AI in dataviz: between transformation and redefinition
The year 2023 has seen a significant shift in the data visualization landscape, with the emergence of artificial intelligence (AI) not only as a complement to traditional tools, but also as a driving force behind a transformation in our use.