Snowflake Openflow and dbt Unlock Unified Data Pipelines - Snap Analytics
Snowflake Openflow and dbt simplify data engineering by combining native ingestion and transformation into a single scalable cloud platform.| Snap Analytics
Snowflake Openflow and dbt simplify data engineering by combining native ingestion and transformation into a single scalable cloud platform.| Snap Analytics
Head of Data Governance, Martin, shares insights on AI, data governance, and cloud cost-cutting to help businesses make smarter decisions.| Snap Analytics
Come wind, rain or shine We’ll meet you wherever you are on your data journey Get in touch Contact "*" indicates required fields Name* First Last Email* Company*Message*Send Form To:Send Form To:CareersFinanceCommercial Looking for a partner to unlock new opportunities with your data? Book a call with us today to talk about how AI and […]| Snap Analytics
Sigma wins 2025 Partner of the Year from Databricks, Snowflake, and Fivetran. Snap Analytics shares why this matters for modern data teams.| Snap Analytics
As SAP Sapphire 2025 kicks off tomorrow, the data and analytics community is buzzing with anticipation. Last year, I wrote about the “great expectations” surrounding SAP Datasphere platform (which has now been re-branded to SAP Business Data Cloud (SAP BDC). This year, those expectations have only grown, especially with the promise of more concrete innovations […] The post SAP, Sapphire and… Snowflake? appeared first on Snap Analytics.| Snap Analytics
The SAP and Databricks partnership and the introduction of SAP Business Data Cloud. Jan van Ansem from Snap Analytics explains what it means for customers. The post The SAP Databricks partnership: Combining expert knowledge of business critical processes with world-class data engineering capabilities appeared first on Snap Analytics.| Snap Analytics
The first five posts of these series were largely conceptual discussions that sprinkled in some SQL and data models here and there where helpful. This final post will serve as a summary of those posts, but it will also specifically include SQL queries, data models and transformation logic related to the overall discussion that should […] The post Tied With A Bow: Wrapping Up the Hierarchy Discussion (Part 6 of 6) appeared first on Snap Analytics.| Snap Analytics
In the first three posts of this series, we delved into some necessary details from graph theory, reviewed acyclic graphs (DAGs), and touched on some foundational concepts that help describe what hierarchies are and how they might best be modeled. In the fourth post of the series, we spent time considering an alternative model for […] The post Edge Cases: Handling Ragged and Unbalanced Hierarchies (Part 5 of 6) appeared first on Snap Analytics.| Snap Analytics
In the first post of this series, we walked through the basic concepts of a graph. In the second post, we discussed a particular kind of graph called a directed acyclic graph (DAG) and helped disambiguate and extend the roles it plays in data engineering. In the third post, we further constrained the definition of […] The post Flat Out: Introducing Level Hierarchies (4 of 6) appeared first on Snap Analytics.| Snap Analytics
A force for innovation Harness the winds of innovation to inform, perform and transform Creating a world where data makes sense! Our Data and AI specialists help enterprises to connect their data, technology and teams to drive more effective decision making. We bring your data together into one platform and make it simple to use. Our […]| Snap Analytics
Essential lessons to excel in your first year in data analytics - covering ETL, BI, AI, and cloud warehousing.| Snap Analytics
We were raised to show deference through titles, and addressing someone by their first name felt overly casual - even disrespectful.| Snap Analytics
Matillion Shared Jobs help making ETL solutions consistent, easy to support and cheaper to manage. Here are the key benefits explained.| Snap Analytics
