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.
Analytics
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.
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.
Drive Valuable Insights About Your Web3 Application Using API Analytics
What’s your API data telling you about your Web3 App? By lifting relevant information from your App’s API transactions and call logs, you can identify and proactively catch issues before they’re surfaced by your customers. Keep your customers happy and reduce churn - make your customer success team performant.
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.
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.
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.
Driving Business Value from a Data Mesh Approach
Irrespective of what it’s called, the market has talked about what amounts to data mesh for several years. The concept of decentralized data management that is driven by business domains helps support the need for business-focused data outcomes. It also helps place value on where the value of data projects should be - on business needs. Data driven organizations need to look at business domains as a way of organizing the various desired outcomes of analytics and data movement initiatives.
Become a Financial Storyteller
Financial statements tell an important story, but they rarely tell the entire story. It often requires a sharp eye and a healthy measure of experience to elicit meaningful information from the numbers. Even people with keen financial acumen will have questions, and they can easily overlook important realities that lay buried somewhere within the details. For those with less experience reading financial reports, this task is far more difficult.