Smart Data Collective

NOVEMBER 15, 2022

When you want to access your file, you simply log in to your cloud storage account and download it to your computer. Alternatively, you can view it directly in your browser if it’s a document or an image. The main advantage of using cloud storage is that you can access your files from anywhere.

Cloud Computing 123

Cloud Computing Azure Cloud Data AWS 123

Smart Data Collective

MAY 28, 2019

New cloud technology has made big data even more versatile. Cloud applications are changing the accounting profession in exciting ways. The Dynamic Role of Cloud Technology in Accounting. Cloud computing has been around for a few years.

Big Data 101

Big Data Big Data Cloud Computing Cloud Data 101

Smart Data Collective

JUNE 20, 2022

The recommendation is to bring a minimal amount of data, development environments, and automation tools to the initial cloud environment, then introduce users and iterate based on their needs. Failing to make production data accessible in the cloud. Centralise new data and computational resources.

Data Engineer 145

Data Engineer Data Engineering Data Engineering Data Engineering 145

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

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

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

AWS Machine Learning Blog

NOVEMBER 16, 2023

Reproducibility and traceability must be enabled automatically by the end-to-end data processing pipelines, where many mandatory documentation artifacts, such as data lineage reports and model cards, can be prepared automatically. These reports document the versioning of datasets, models, and code.

ML 126

ML ML AWS AI 126

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 96

Clustering AWS ML ML 96

Mlearning.ai

FEBRUARY 16, 2023

Furthermore, a shared-data approach stems from this efficient combination. The background for the Snowflake architecture is metadata management, so customers can enjoy an additional opportunity to share cloud data among users or accounts. As it was mentioned earlier, Snowflake separates computation and storage.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

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

Precisely

MAY 8, 2025

Through our daily conversations with customers, it has become clear that there is a demand to access data where they already work and increasingly, that is in the cloud. Thats why its thrilling to see how cloud data marketplaces are rapidly evolving. Then, its time to start the process over again. Thats changing.

Cloud Data 65

Cloud Data Cloud Computing Analytics Analytics 65