Pickl AI

JUNE 11, 2024

Summary: A data warehouse is a central information hub that stores and organizes vast amounts of data from different sources within an organization. Unlike operational databases focused on daily tasks, data warehouses are designed for analysis, enabling historical trend exploration and informed decision-making.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Complex data management is on the rise.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

IBM Journey to AI blog

MARCH 14, 2024

. With Db2 Warehouse’s fully managed cloud deployment on AWS, enjoy no overhead, indexing, or tuning and automated maintenance.  Netezza incorporates in-database analytics and machine learning (ML), governance, security and patented massively parallel processing.

AWS 93

AWS Database ETL AI 93

Pickl AI

MAY 7, 2024

Their tasks encompass: Data Collection and Extraction Identify relevant data sources and gather data from various internal and external systems Extract, transform, and load data into a centralized data warehouse or analytics platform Data Cleaning and Preparation Cleanse and standardize data to ensure accuracy, consistency, and completeness.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Data Science Blog

MARCH 30, 2023

Eine bessere Idee ist es daher, Event Logs nicht in einzelnen Process Mining Tools aufzubereiten, sondern zentral in einem dafür vorgesehenen Data Warehouse zu erstellen, zu katalogisieren und darüber auch die grundsätzliche Data Governance abzusichern. Dank AI werden damit noch viel verborgenere Prozesse sichtbar.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Pickl AI

JANUARY 19, 2025

Summary: Data warehousing and data mining are crucial for effective data management. Data warehousing focuses on storing and organizing data for easy access, while data mining extracts valuable insights from that data. It ensures data quality, consistency, and accessibility over time.

Data Mining 52

Data Mining Data Mining Data Mining Data Warehouse 52