Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability.

Testing 307

Testing Machine Learning Consulting Data Quality 307

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Data stores suitable for business-focused generative AI are built on an open lakehouse architecture, combining the qualities of a data lake and data warehouse.

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

IBM Big Data Hub

MAY 17, 2023

It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform.

Data Collection 84

Data Collection Visualization Data-driven Unstructured Data 84

Domino Data Lab

JULY 2, 2019

Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. That speaks to the remarkable learning curve aspects of SQL, how oh-so-much data munging can be performed without having to sweat the details.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105