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. Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. Business intelligence tools can help you with this task.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Cloud platforms like AWS, Azure, and Google Cloud offer scalable resources that can be provisioned on-demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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 101

Database SQL Data Warehouse Machine Learning 101

Pickl AI

JUNE 18, 2024

As a robust business intelligence (BI) platform, Power BI empowers users to unlock insights from data, create compelling visualizations , and drive informed decision-making. The Internet of Things (IoT) generates vast amounts of data from sensors and connected devices. But what truly sets Power BI projects apart?

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Pickl AI

DECEMBER 2, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Transactional Systems : Businesses gather data from sales transactions, customer interactions, and operational processes. Data Lakes allows for flexibility in handling different data types.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Internet of Things (IoT): Devices such as sensors, smart appliances, and wearables continuously collect and transmit data. Transactional Systems : Businesses gather data from sales transactions, customer interactions, and operational processes. Data Lakes allows for flexibility in handling different data types.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. However, this can be time-consuming and prone to human error, leading to misinformation. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52