IBM Journey to AI blog

SEPTEMBER 26, 2023

States’ existing investments in modernizing and enhancing ancillary supportive technologies (such as document management, web portals, mobile applications, data warehouses and location services) could negate the need for certain system requirements as part of the child support system modernization initiative.

Data Warehouse 112

Data Warehouse Cloud Computing Cloud Data Analytics 112

Alation

DECEMBER 14, 2021

Breakout sessions shared cutting-edge use cases that hint at the future of cloud computing. These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse.

Clustering 83

Clustering AWS ML ML 83

phData

OCTOBER 12, 2023

Incremental processing and data freshness scans become trivial and easy thanks to the metadata Fivetran brings into your cloud data warehouse. Optimizing for Scale So what does it look like to actually optimize your pipelines to scale your data pipelines? These allow you to scale your pipelines quickly.

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52

IBM Journey to AI blog

JULY 31, 2023

Before the internet and cloud computing , and before smartphones and mobile apps, banks were shuttling payments through massive electronic settlement gateways and operating mainframes as systems of record. Complex analytical queries atop huge datasets on the mainframe can eat up compute budgets and take hours or days to run.

Analytics 64

Analytics Analytics Data Warehouse Cloud Computing 64

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. The future lies in the cloud.

Data Governance 59

Data Governance ML ML Cloud Data 59

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. Alternatives to using a data center: 1. They are typically used by organizations to store and manage their own data. Not a cloud computer?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

Power BI 84

Power BI Analytics Analytics Azure 84

Dataversity

NOVEMBER 25, 2022

Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently.

Analytics 52

Analytics Analytics Data Warehouse Cloud Data 52