AI News

SEPTEMBER 29, 2024

Ahead of AI & Big Data Expo Europe , Han Heloir, EMEA gen AI senior solutions architect at MongoDB , discusses the future of AI-powered applications and the role of scalable databases in supporting generative AI and enhancing business processes. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Big Data 237

Big Data ETL Generative AI Data Ingestion 237

Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

Metadata 162

Metadata Big Data ETL Data Mining 162

Pickl AI

JULY 30, 2024

Summary: Apache NiFi is a powerful open-source data ingestion platform design to automate data flow management between systems. Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. FlowFile At the core of NiFi’s architecture is the FlowFile.

Data Ingestion 52

Data Ingestion ETL Big Data Data Integration 52

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

AWS Machine Learning Blog

AUGUST 8, 2024

This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock. Twilio’s use case Twilio wanted to provide an AI assistant to help their data analysts find data in their data lake.

Metadata 121

Metadata LLM Prompt Engineer Prompt Engineering 121

Pickl AI

JULY 6, 2023

These work together to enable efficient data processing and analysis: · Hive Metastore It is a central repository that stores metadata about Hive’s tables, partitions, and schemas. It applies the data structure during querying rather than data ingestion. Why Do We Need Hadoop Hive?

Big Data 52

Big Data ETL Data Analysis Metadata 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Additionally, you can enable model invocation logging to collect invocation logs, full request response data, and metadata for all Amazon Bedrock model API invocations in your AWS account. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Generative AI 121

Generative AI Data Ingestion AI AI 121