Smart Data Collective

FEBRUARY 20, 2022

Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

Jen Stirrup

MAY 5, 2020

Azure allows you to protect your enterprise data assets, using Azure Active Directory and setting up your virtual network. Other technologies, such as Azure Data Factory, can help process large amounts of data around in the cloud. Azure Data Lake Store. For business users, the data is accessible in Power BI.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

IBM Big Data Hub

JUNE 14, 2023

Traditional AI tools, especially deep learning-based ones, require huge amounts of effort to use. You need to collect, curate, and annotate data for any specific task you want to perform. Datasets like this are measured in how many “tokens”—think of those as words or word parts—that we’re including.

Modeling 85

Modeling Data Lake Enterprise Deep Learning 85

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. The complete list is shown below: Model Lineage .

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

O'Reilly on Data

OCTOBER 19, 2021

This introduces further requirements: The scale of operations is often two orders of magnitude larger than in the earlier data-centric environments. Not only is data larger, but models—deep learning models in particular—are much larger than before. However, none of these layers help with modeling and optimization.

IT 351

IT Testing Experimentation Software 351

CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Focus on a specific business problem to be solved.

Analytics 98

Analytics Key Performance Indicator Data Warehouse Data-driven 98

Alation

APRIL 14, 2022

Pushing data to a data lake and assuming it is ready for use is shortsighted. Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). Record-keeping in a data catalog is key. It’s not a simple definition.

Metadata 59

Metadata Data Governance Modeling Data-driven 59