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How a water technology company overcame massive data problems with ActionKPI and IBM

IBM Journey to AI blog

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

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Data Definition Language: A Descriptive Overview

Pickl AI

Summary : Data Definition Language (DDL) is a subset of SQL focuse on defining and managing database structures. Introduction Data Definition Language (DDL) is a crucial subset of SQL (Structured Query Language) use for defining and managing the structure of databases. What is Data Definition Language?

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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

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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Bryon Jacob, CTO & Co-Founder of data.world – Interview Series

Unite.AI

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.

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Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

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.

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Jay Mishra, COO of Astera Software – Interview Series

Unite.AI

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. From our experience definitely, we have seen that it is advisable to have the model fine-tuned and deployed locally and that is dedicated to your scenario instead of relying on APIs.

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Fine-tune your data lineage tracking with descriptive lineage

IBM Journey to AI blog

Extraction, transformation and loading (ETL) tools dominated the data integration scene at the time, used primarily for data warehousing and business intelligence. The first two use cases are primarily aimed at a technical audience, as the lineage definitions apply to actual physical assets.

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