What is data pipeline architecture?
A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization.
Link Building 101: The Ultimate Guide to Building Free Backlinks and Outranking Your Competitors
Almost 40% of SEOs don’t have a budget for link building. In this guide, 80+ experts share how they build free backlinks to maximize their small (or lack of) budget.
Using Snowpark For Python And XGBoost To Run 200 Forecasts In 10 Minutes
Snowpark for Python, now generally available, empowers the growing Python community of data scientists, data engineers, and developers to build secure and scalable data pipelines and machine learning (ML) workflows directly within Snowflake—taking advantage of Snowflake’s performance, elasticity, and security benefits, which are critical for production workloads. Using user-defined table functions (UDTFs) and the new Snowpark-optimized warehouse with higher memory, users can run large-scale model training workloads using popular open-source libraries available through Anaconda integration.
Winning the race: data as the ultimate competitive edge, with Susie Wolff
Susie Wolff, former Formula 1 driver and founder of Dare to be Different, knows a lot about using data to thrive under pressure. In racing, data is the difference between being a champion and falling behind. How can your business become data driven the way Formula 1 has? How can you get the insights you need to thrive — not tomorrow, not next week, but right now? Industry analyst and digital transformation expert Maribel Lopez interviews Wolff, extracting takeaways that every business can apply.
Snowpark for Python: Large-Scale Feature Engineering, Machine Learning Model Training, and More
As data science and machine learning adoption has grown over the last few years, Python is catching up to SQL in popularity within the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together.
Developers Rejoice! Snowflake Is All in on Python, Pipelines, and Apps
Snowflake is committed to helping developers focus on building their apps and businesses rather than on infrastructure management. At this year’s Snowday, Snowflake announced a series of advancements that empower developers to do more with their data, enhancing productivity and unlocking new ways to develop applications, pipelines, and machine learning (ML) models with Snowflake’s unified data platform.
Data Legends Podcast Episode 11, David Noblet
Hear about David Noblet's work as Co-Founder + Chief Architect at ChaosSearch.
Episode 3 & 4 Demo | Data Destination & Governance
To coincide with our overview, watch this brief demo on how ChaosSearch can help with your big data analytics challenge of data preparation & governance.
Modern Data Architectures | Data Mesh, Data Fabric, & Data Lakehouse
For years, companies have viewed data the wrong way. They see it as the byproduct of a business interaction and this data often ends up collecting dust in centralized silos governed by data teams who lack the expertize to understand its true value. Cloudera is ushering in a new era of data architecture by allowing experts to organize and manage their own data at the source. Data mesh brings all your domains together so each team can benefit from each other’s data.
Snowflake Unveils New Python Tools at Snowday
In this episode of “Data Cloud Now,” host Ryan Green interviews Snowflake’s Torsten Grabs about some of the big news coming out of Snowday, with a particular focus on Snowpark for Python, which is now generally available for building Python pipelines and ML models directly in Snowflake.