Business Analytics Data Integration Data Warehouse Interactive 
datapine
NOVEMBER 11, 2021
Business intelligence tools provide you with interactive BI dashboards that serve as powerful communication tools to keep teams engaged and connected. Through powerful data visualizations, managers and team members can get a bigger picture of their performance to optimize their processes and ensure healthy project development.
Cloudera
NOVEMBER 2, 2020
Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?
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datapine
FEBRUARY 22, 2022
To succeed, a deployment must have the support of key business areas, from the get-go. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. But every stakeholder and their respective business areas should also be involved throughout the process. Define a budget.
IBM Big Data Hub
AUGUST 4, 2023
Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.
Jet Global
JULY 1, 2022
For many companies, SAP data can be a lighthouse in the storm, helping overloaded employees navigate strained supply chains. But there is the potential for “pollution” in transactional SAP data. We’ve managed to improve our data integrity by major, major steps.”. Clean data is here. Absolutely flabbergasted.
Jet Global
MAY 9, 2024
The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.
Jet Global
SEPTEMBER 26, 2023
Data Integrity Maintenance: Data cleansing processes detect and rectify data integrity issues, such as duplicate entries or conflicting data. This proactive approach mitigates concerns regarding data reliability and fosters trust in the information.
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