O'Reilly Media

NOVEMBER 19, 2024

Store these chunks in a vector database, indexed by their embedding vectors. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. By the numbers: Run entity resolution to identify the entities which occur across multiple structured data sources.

Database 116

Database AI AI Natural Language Processing 116

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture.

SQL 52

SQL Database Data Quality Data Warehouse 52

Pickl AI

DECEMBER 4, 2023

Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. Think of data governance as the rules and regulations governing the kingdom of information. It ensures data quality , integrity, and compliance.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

DECEMBER 9, 2024

Whether its stock market transactions or live streaming data from sensors, Big Data operates in real-time or near-real-time environments. Variety Data comes in multiple forms, from highly organised databases to messy, unstructured formats like videos and social media text. What is the Role of Zookeeper in Big Data?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

The MLOps Blog

APRIL 17, 2023

This layer is where you encode the rules of the experiment tracking domain and determine how data is created, stored, and modified. You can have other clients, like integrations with a model registry, data quality monitoring components, etc. Of course, a relational database would be valuable here.

Data Scientist 52

Data Scientist ML ML Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. Multi-source data is initially received and stored in an Amazon Simple Storage Service (Amazon S3) data lake.

AWS 123

AWS AI AI Data Lakes 123