Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

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 88

AWS AI AI Data Warehouse 88

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

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

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 135

AWS Data Warehouse ETL SQL 135

Flipboard

DECEMBER 11, 2024

Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data.

SQL 156

SQL AWS Data Lakes AI 156

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

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

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 Machine Learning Machine Learning Analytics 399

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

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lakes 52

Data Lakes Data Governance Data Warehouse Business Intelligence 52

phData

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

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 Cloud Data Analytics 110

ODSC - Open Data Science

JUNE 7, 2023

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? This can be structured, semi-structured, and even unstructured data. Where does it go?

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

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

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 74

AWS Data Governance Data Silos SQL 74

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Exploratory Data Analysis 145

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

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

Flipboard

JANUARY 6, 2025

The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan. The demand for modernization is growing, and Precise can help government agencies adopt AI/ML technologies.

AWS 65

AWS ML ML Machine Learning 65

Towards AI

FEBRUARY 13, 2023

Last Updated on February 13, 2023 by Editorial Team What happened this week in AI by Louis ChatGPT and generative AI are still hot topics this week. Open AI has launched several integrations with Microsoft as well as details of its subscription plan for ChatGPT. Big Tech was moving cautiously on AI.

AI 98

AI AI Data Warehouse Data Lakes 98

ODSC - Open Data Science

MAY 7, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. James has been at the forefront of data architecture at Microsoft for the better part of the last nine years. James Serra discusses data lakehouses, which merge data lakes and data warehouses.

Data Warehouse 52

Data Warehouse Data Lakes Data Science Big Data 52

Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Hrvoje Smolic Originally published on Towards AI. Thanks to AI, businesses can now make more informed and strategic decisions, boost their efficiency, reduce costs and improve customer service. What Signs Show That Your Business is Ready for AI?

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI AI 98

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 52

Tableau Data Lakes Data Warehouse SQL 52

Smart Data Collective

DECEMBER 13, 2022

Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Real-time AI Revision and Optimization.

Data Analysis 145

Data Analysis Data Analysis Analytics Analytics 145

Tableau

FEBRUARY 14, 2022

For many years, the underlying complexities of AI, paired with a dramatic portrayal in the media as an inevitable replacement for human jobs, created a daunting narrative that made AI difficult for most people to understand, let alone to widely adopt. Now, we’re at an exciting turning point with AI. So what’s changed?

AI 98

AI AI Tableau Data Scientist 98

IBM Journey to AI blog

AUGUST 4, 2023

It’s distributed both in the cloud and on-premises, allowing extensive use and movement across clouds, apps and networks, as well as stores of data at rest. An architecture designed for data democratization aims to be flexible, integrated, agile and secure to enable the use of data and artificial intelligence (AI) at scale.

Data Lakes 73

Data Lakes AI AI Data Governance 73

Tableau

FEBRUARY 14, 2022

For many years, the underlying complexities of AI, paired with a dramatic portrayal in the media as an inevitable replacement for human jobs, created a daunting narrative that made AI difficult for most people to understand, let alone to widely adopt. Now, we’re at an exciting turning point with AI. So what’s changed?

AI 95

AI AI Tableau Data Scientist 95

IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

AI 88

AI AI Data Warehouse ML 88

IBM Journey to AI blog

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data lakehouse was created to solve these problems.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

AI 93

AI AI Data Scientist Data Governance 93

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

AI 74

AI AI Machine Learning Machine Learning 74

Precisely

JUNE 24, 2024

They are working through organizational design challenges while also establishing foundational data management capabilities like metadata management and data governance that will allow them to offer trusted data to the business in a timely and efficient manner for analytics and AI.”

Analytics 94

Analytics Analytics Data Governance Data Lakes 94

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

IBM Journey to AI blog

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineering Data Engineering 58

IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. All watsonx.ai

AI 70

AI AI Machine Learning Machine Learning 70