Sublime
An inspiration engine for ideas
Software Engineering
Nicolay Gerold • 41 cards
“[Company B] re-invents business intelligence. Our modern data discovery platform takes a markedly different approach to analytics. Because it operates in-database, all your data is inherently drillable and explorable.”
Martina Lauchengco • Loved: How to Rethink Marketing for Tech Products (Silicon Valley Product Group)
Datasets
Nicolay Gerold • 5 cards
ata Collection Experimentation Evaluation and Deployment Monitoring and Response Metadata Data catalogs, Amundsen, AWS Glue, Hive metas-tores Weights & Biases, MLFlow, train/test set parameter configs, A/B test tracking tools Dashboards, SQL, metric functions and window sizes Unit Data cleaning tools Tensorflow, ML-lib, PyTorch, Scikit-learn, X... See more
Shreya Shankar • "We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning.
Overview
pg_lakehouse is an extension that transforms Postgres into an analytical query engine over object stores like S3 and table formats like Delta Lake. Queries are pushed down to Apache DataFusion, which delivers excellent analytical performance. Combinations of the following object stores, table formats, and file formats are supported.
Object ... See more
pg_lakehouse is an extension that transforms Postgres into an analytical query engine over object stores like S3 and table formats like Delta Lake. Queries are pushed down to Apache DataFusion, which delivers excellent analytical performance. Combinations of the following object stores, table formats, and file formats are supported.
Object ... See more
https://github.com/paradedb/paradedb/tree/dev/pg_l...
The data warehouse is responsible for intake, integration, and distribution needs.
Steve Williams • The Profit Impact of Business Intelligence
Data Transformation
Built For Growth
Don't hack custom scripts or use half-baked tools. SQLMesh ensures accurate and efficient data pipelines with the most complete DataOps solution for transformation, testing, and collaboration.
Built For Growth
Don't hack custom scripts or use half-baked tools. SQLMesh ensures accurate and efficient data pipelines with the most complete DataOps solution for transformation, testing, and collaboration.
SQLMesh
One common example is a CRM tool leveraging a customer EADS to facilitate segmentation efforts.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Imprecise, slow requirements gathering for a new analytical system or process is replaced by iterative experimentation, insight, and validation.