IBM Journey to AI blog

MAY 9, 2023

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] It also offers built-in governance, automation and integrations with an organization’s existing databases and tools to simplify setup and user experience.

Data Warehouse 92

Data Warehouse AWS AI AI 92

IBM Journey to AI blog

MAY 15, 2024

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. Warehouse for loading the data (start with XSMALL or SMALL warehouses). What is Salesforce Sync Out?

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Precisely

JUNE 12, 2023

Lack of agility : To take advantage of the newest advances in technology, insurers must have the capacity to use their data efficiently and effectively. Data silos create significant barriers to cloud transformation. CDC eliminates silos and opens the door to data-driven innovation.

Data Silos 52

Data Silos Augmented Analytics Database ML 52

IBM Journey to AI blog

FEBRUARY 2, 2023

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. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

IBM Journey to AI blog

JANUARY 18, 2023

Instead, continuous data transformation is performed within the BLOB storage. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. Data fabric: A mostly new architecture. The data fabric represents a new generation of data platform architecture.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

ETL 59

ETL Data Pipeline ML ML 59

Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

phData

FEBRUARY 13, 2024

Employing a modular structure, SAP ERP encompasses modules such as finance, human resources, supply chain , and more, facilitating real-time collaboration and data sharing across different departments through a centralized database. Violations of license restrictions can result in penalties, additional fees, or even legal consequences.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

phData

NOVEMBER 13, 2023

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos. Deploy jobs are designed to build into production databases, running sequentially to prevent conflicts.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

AWS 110

AWS Data Lakes Machine Learning Machine Learning 110

Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud. That approach assumes that good data quality will be self-sustaining.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

AWS Machine Learning Blog

DECEMBER 3, 2024

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

AWS 93

AWS Database Data Silos Data Lakes 93

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Create a user with administrative access. Under CATALOGS , select AwsDataCatalog.

SQL 116

SQL Data Analyst AWS Data Warehouse 116