Data Integration Definition Metadata 
NOVEMBER 15, 2024
Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. First, we explore the option of in-context learning, where the LLM generates the requested metadata without documentation.
IBM Journey to AI blog
SEPTEMBER 5, 2024
To maximize the value of their AI initiatives, organizations must maintain data integrity throughout its lifecycle. Managing this level of oversight requires adept handling of large volumes of data. Just as aircraft, crew and passengers are scrutinized, data governance maintains data integrity and prevents misuse or mishandling.
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Pickl AI
JUNE 7, 2024
Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.
Unite.AI
JUNE 13, 2024
KGs use semantics to represent data as real-world entities and relationships, making them more accurate than SQL databases, which focus on tables and columns. For explainability, KGs allow us to link answers back to term definitions, data sources, and metrics, providing a verifiable trail that enhances trust and usability.
IBM Journey to AI blog
JULY 1, 2024
Irina Steenbeek introduces the concept of descriptive lineage as “a method to record metadata-based data lineage manually in a repository.” Extraction, transformation and loading (ETL) tools dominated the data integration scene at the time, used primarily for data warehousing and business intelligence.
Pickl AI
JULY 19, 2024
They enhance data integrity, security, and accessibility while providing tools for efficient data management and retrieval. A Database Management System (DBMS) is specialised software designed to efficiently manage and organise data within a computer system. Indices are data structures optimised for rapid data retrieval.
ODSC - Open Data Science
SEPTEMBER 27, 2023
Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format. Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition.
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