Dataconomy

MARCH 29, 2025

However, an expert in the field says that scaling AI solutions to handle the massive volume of data and real-time demands of large platforms presents a complex set of architectural, data management, and ethical challenges.

Data Warehouse 103

Data Warehouse AI AI Data Preparation 103

databricks

AUGUST 10, 2023

At this year's Data+AI Summit, Databricks SQL continued to push the boundaries of what a data warehouse can be, leveraging AI across the.

SQL 246

SQL Data Warehouse AI AI 246

insideBIGDATA

JULY 1, 2024

In this contributed article, Adrian Kunzle, Chief Technology Officer at Own Company, discusses strategies around using historical data to understand their businesses better and fill gaps are often overlooked.

Data Warehouse 221

Data Warehouse ETL AI AI 221

Hacker News

MARCH 14, 2025

How Dust's Query Tables agent tool evolved from parsing CSVs to parsing data warehouses, creating a unified SQL interface for AI data analysis.

Data Warehouse 155

Data Warehouse Database SQL Data Analysis 155

Flipboard

JANUARY 24, 2025

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. If there are security risks that cant be clearly identified, then they cant be addressed, and that can halt the production deployment of the generative AI application.

AWS 160

AWS AI AI Data Warehouse 160

Data Science Dojo

MARCH 27, 2025

It powers business decisions, drives AI models, and keeps databases running efficiently. But heres the problem: raw data is often messy. Thats where data normalization comes in. Its a structured process that organizes data to reduce redundancy and improve efficiency. Think about itdata is everywhere. Simple, right?

Database 195

Database Data Warehouse Machine Learning Machine Learning 195

Dataconomy

MAY 27, 2024

The main solutions on the market are decentralized file storage networks (DSFN) like Filecoin and Arweave, and decentralized data warehouses like Space and Time (SxT). Built to seamlessly integrate with existing enterprise systems, the data warehouse lets businesses tap into blockchain data while publishing query results back on-chain.

Data Warehouse 213

Data Warehouse Database SQL Analytics 213

AWS Machine Learning Blog

DECEMBER 16, 2024

We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressionsand to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Canva uses AWS to power 1.2

AWS 99

AWS AI AI Data Warehouse 99

Pickl AI

APRIL 22, 2025

Summary: The snowflake schema in data warehouse organizes data into normalized, hierarchical dimension tables to reduce redundancy and enhance integrity. This approach is particularly valuable for organizations aiming to manage highly structured, multi-level data with minimal redundancy and greater consistency.

Data Warehouse 52

Data Warehouse Data Models Data Modeling Analytics 52

Hacker News

NOVEMBER 4, 2024

AI-data warehouse to enrich, transform and analyze data from cloud storages - iterative/datachain

Data Warehouse 137

Data Warehouse AI AI 137

Flipboard

JUNE 5, 2023

Snowflake got its start by bringing data warehouse technology to the cloud, but now in 2023, like every other vendor, it finds artificial intelligence (AI) permeating nearly every discussion. In an exclusive interview with VentureBeat, Sunny Bedi, CIO and CDO at Snowflake, detailed the latest …

Data Warehouse 132

Data Warehouse Artificial Intelligence Artificial Intelligence AI 132

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Pickl AI

JUNE 11, 2024

Summary: A data warehouse is a central information hub that stores and organizes vast amounts of data from different sources within an organization. Unlike operational databases focused on daily tasks, data warehouses are designed for analysis, enabling historical trend exploration and informed decision-making.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

Hacker News

AUGUST 9, 2024

Comments (..)

Data Warehouse 103

Data Warehouse AI AI 103

Data Science Dojo

APRIL 25, 2023

Different data warehouses are designed differently, and data architects and engineers make different decisions about to lay out the data for the best performance. Developments in AI and machine learning are being seen all over the world, from big businesses to small startups.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Flipboard

MAY 24, 2023

Cloud-based data warehouse company Snowflake on Wednesday said that it was acquiring Neeva, a startup based in Mountain View, California, for an …

Data Warehouse 130

Data Warehouse AI AI Computer Science 130

Pickl AI

FEBRUARY 3, 2025

Summary: A Data Warehouse consolidates enterprise-wide data for analytics, while a Data Mart focuses on department-specific needs. Data Warehouses offer comprehensive insights but require more resources, whereas Data Marts provide cost-effective, faster access to focused data.

Data Warehouse 52

Data Warehouse Analytics Analytics Database 52

databricks

JUNE 14, 2023

It's been only 18 months since we announced Databricks SQL general availability - the serverless data warehouse on the Lakehouse - and we.

SQL 130

SQL Data Warehouse AI AI 130

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

AWS 139

AWS Data Warehouse ETL SQL 139

Women in Big Data

NOVEMBER 27, 2024

A data warehouse is a centralized repository designed to store and manage vast amounts of structured and semi-structured data from multiple sources, facilitating efficient reporting and analysis. Begin by determining your data volume, variety, and the performance expectations for querying and reporting.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

IBM Journey to AI blog

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

Dataconomy

OCTOBER 8, 2024

Almost every tech company today is up to its neck in generative AI, with Google focused on enhancing search, Microsoft betting the house on business productivity gains with its family of copilots, and startups like Runway AI and Stability AI going all-in on video and image creation. Why is data integrity important?

Data Pipeline 132

Data Pipeline AI AI Data Warehouse 132

Flipboard

JULY 11, 2023

The decentralized data warehouse startup Space and Time Labs Inc. said today it has integrated with OpenAI LP’s chatbot technology to enable developers, analysts and data engineers to query their

Data Warehouse 122

Data Warehouse Data Engineering Data Engineering Data Engineer 122

Dataconomy

APRIL 27, 2023

AI computers are real now, and they are rapidly changing the world around us and already being used in a wide range of applications in various sectors. The capacity of computers to think, learn, make decisions, and be creative are all examples of what we mean when we talk about artificial intelligence (AI).

Natural Language Processing 203

Natural Language Processing AI AI Artificial Intelligence 203

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

Data Science 399

Data Science Analytics Analytics Machine Learning 399

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Flipboard

JUNE 17, 2023

Former Microsoft and Snowflake exec Bob Muglia’s new book is “ The Datapreneurs: The Promise of AI and the Creators Building Our Future.” ” This week: the origins of data, and the future of the digital species. People will use AI for every possible purpose: the good, the bad, and the evil.

AI 169

AI AI Data Warehouse Artificial Intelligence 169

Dataversity

DECEMBER 15, 2021

The abilities of an organization towards capturing, storing, and analyzing data; searching, sharing, transferring, visualizing, querying, and updating data; and meeting compliance and regulations are mandatory for any sustainable organization. For example, most data warehouses […].

Data Warehouse 98

Data Warehouse Data Lakes Database Business Intelligence 98

IBM Journey to AI blog

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety. The answer is that generative AI leverages recent advances in foundation models. AI is already driving results for business.

AI 110

AI AI Data Warehouse Machine Learning 110

IBM Journey to AI blog

JUNE 15, 2023

Moreover, increased regulatory requirements make it harder for enterprises to democratize data access and scale the adoption of analytics and artificial intelligence (AI). Against this challenging backdrop, the sense of urgency has never been higher for businesses to leverage AI for competitive advantage.

Data Warehouse 110

Data Warehouse Data Lakes Analytics Cloud Data 110

Flipboard

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. The following screenshot illustrates the SageMaker Unified Studio.

SQL 160

SQL AWS Data Lakes AI 160

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 83

AWS Data Governance Data Silos SQL 83

IBM Journey to AI blog

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lakes 95

Data Lakes Data Warehouse AI AI 95

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. Schema Enforcement: Data warehouses use a “schema-on-write” approach.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

IBM Journey to AI blog

NOVEMBER 6, 2023

By adopting these 4 best practices to invest in the right technology and leverage the most recent advances in generative AI , enterprises can unlock unique services for SMB customers. Generative AI tools like IBM watsonx.ai Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources.

AI 124

AI AI Data Warehouse Clean Data 124

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102