Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. Are you interested in scalable data architectures for your shopfloor management ?

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. First of all, you need to define what data should be collected from your IoT devices, processed, and visualized. Ensure cloud data storage. But what if we combine these technologies?

Business Intelligence 111

Business Intelligence Business Intelligence Internet of Things Azure 111

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Microsoft Azure.

Data Warehouse 84

Data Warehouse SQL Azure ETL 84

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used. Click to enlarge!

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

Dataversity

MARCH 29, 2021

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. As […].

DataOps 94

DataOps Data Lakes Azure AWS 94

DataRobot Blog

SEPTEMBER 6, 2022

Data science teams cannot create a model and “throw it over the fence” to another team. Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. Request a Demo.

Analytics 52

Analytics Analytics Machine Learning Machine Learning 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. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Database 92

Database SQL Data Warehouse Machine Learning 92

The MLOps Blog

MAY 17, 2023

A data pipeline is created with the focus of transferring data from a variety of sources into a data warehouse. Further processes or workflows can then easily utilize this data to create business intelligence and analytics solutions. Operation ETL pipeline runs on schedule e.g. daily, weekly or monthly.

ETL 59

ETL Data Pipeline ML ML 59

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. One of this aspect is the cloud architecture for the realization of Data Mesh. Summary – What value can you expect?

Data Science 246

Data Science Azure Power BI Business Intelligence 246

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52