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

IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Mlearning.ai

SEPTEMBER 4, 2023

4] Private instances: Microsoft Azure provides a private instance of ChatGPT. According to Microsoft, prompts (inputs) and completions (outputs), embeddings, and training data are not available to other customers or to improve any products or services such as OpenAI models, Microsoft Azure, or any other 3rd party.[5],[6]

AI 52

AI AI Azure Machine Learning 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

phData

SEPTEMBER 27, 2024

With Snowflake’s support for Iceberg: You can query Iceberg tables stored in your cloud storage (S3, Azure Blob, etc.) It’s like having a universal translator for your customer data. You get the benefits of Snowflake’s powerful compute engine while working with open-format data. directly from Snowflake.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

phData

FEBRUARY 13, 2024

SNP Glue is an SAP-certified connector that seamlessly bridges the gap between your SAP systems and various cloud platforms like Azure, AWS, and Snowflake. Example Solution Here is a high-level overview of how the solution works.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

Alation

AUGUST 2, 2022

The problem many companies face is that each department has its own data, technologies, and information handling processes. This causes data silos to form, which can inhibit data visibility and collaboration, and lead to integrity issues that make it harder to share and use data.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

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. These jobs can be triggered via schedule or events, ensuring your data assets are always up-to-date.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52