IBM Journey to AI blog

JULY 24, 2024

Enhancing AI and analytics with unified data access  Hybrid cloud architectures are proving instrumental in advancing AI and analytics capabilities. Optimizing performance with fit-for-purpose query engines In the realm of data management, the diverse nature of data workloads demands a flexible approach to query processing.

Data Governance 69

Data Governance Data Warehouse Data Preparation AI 69

IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology. Db2 stands ready to embrace new challenges and opportunities within AI in the hybrid cloud data ecosystem.

Database 101

Database SQL Data Warehouse Machine Learning 101

Precisely

JULY 12, 2024

For instance, you may have a database of customer names and addresses that is accurate and valid, but if you do not also have supporting data that gives you context about those customers and their relationship to your company, that database is not as useful as it could be. That is where data integrity comes into play.

Data Quality 105

Data Quality Data Governance Database Analytics 105

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

NOVEMBER 28, 2023

In July 2023, Matillion launched their fully SaaS platform called Data Productivity Cloud, aiming to create a future-ready, everyone-ready, and AI-ready environment that companies can easily adopt and start automating their data pipelines coding, low-coding, or even no-coding at all. Or would you even go to that directly?

Data Warehouse 52

Data Warehouse Data Pipeline ETL Azure 52

phData

JANUARY 4, 2023

The Snowflake Data Cloud is a modern data warehouse that allows companies to take advantage of its cloud-based architecture to improve efficiencies while at the same time reducing costs. In this blog post, we will explore the reasons why many organizations are choosing to migrate from Netezza to Snowflake.

Data Warehouse 52

Data Warehouse SQL Database ETL 52

IBM Journey to AI blog

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

AI 74

AI AI Machine Learning Machine Learning 74

IBM Journey to AI blog

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

AWS 100

AWS Data Warehouse Cloud Data Database 100

Tableau

DECEMBER 7, 2022

Allison (Ally) Witherspoon Johnston Senior Vice President, Product Marketing, Tableau Bronwen Boyd December 7, 2022 - 11:16pm February 14, 2023 In the quest to become a customer-focused company, the ability to quickly act on insights and deliver personalized customer experiences has never been more important.

Tableau 54

Tableau Data Warehouse Data Pipeline Data Visualization 54

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

phData

JUNE 26, 2024

Cleaning and preparing the data Raw data typically shouldn’t be used in machine learning models as it’ll throw off the prediction. phData Retail Case Study phData helps many retail businesses answer these questions and more by utilizing their data to the fullest.

Machine Learning 52

Machine Learning Machine Learning Data Engineer Data Engineering 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Gateways are being used as another layer of security between Snowflake or cloud data source and Power BI users.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

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. 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

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And so data scientists might be leveraging one compute service and might be leveraging an extracted CSV for their experimentation. And then the production teams might be leveraging a totally different single source of truth or data warehouse or data lake and totally different compute infrastructure for deploying models into production.

SQL 52

SQL ML ML Python 52

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. This means you can have your open-source cake and eat it in the cloud too!

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

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

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Analytics Analytics SQL 52

IBM Journey to AI blog

AUGUST 3, 2023

Another challenge with data being rapidly moved to the cloud and stored across multiple environments means it is highly likely for enterprises to lose visibility of their sensitive data.

Azure 71

Azure Database Analytics Analytics 71