Jet Global

MAY 9, 2024

How Implementing A Data Warehouse Solution Can Accelerate and Facilitate an ERP Upgrade Download Now Types of Data Pipelines Data pipelines are processes that automate the movement, transformation, and storage of data from source systems to destination systems.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

Octopai

FEBRUARY 8, 2020

But when you have a complete set of BI tools , you can get to know your data from multiple angles and drive improved decisions on how to use the data. . Read our eBook to learn more Download the eBook. And the bottom line? What's an Automated Business Glossary? What Goes into a BI Intelligence Platform? .

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

JUNE 21, 2023

The challenge comes when we need to ask more complex questions of our data, for example, what was the year-on-year quarterly sales growth by product broken down by country? The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. To house our data, we need to define a data model.

Data Warehouse 82

Data Warehouse Data Lake OLAP Cost-Benefit 82

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

Jet Global

SEPTEMBER 4, 2020

Consider which of the following scenarios applies to your business: If your business needs financial and operational reporting but is not currently leveraging machine learning or other sources of mass unstructured or semi-structured data, avoid the ADLS approach until the technology matures—five to seven years from now. Download Now.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

MARCH 13, 2024

Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Data generation In this section, we discuss the steps to manually or automatically generate journey data. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

MARCH 7, 2023

You can use simple SQL to analyze structured and semi-structured data across data warehouses, data marts, operational databases, and data lakes to deliver the best price performance at any scale. Data in Amazon S3 can be easily queried in place using SQL with Amazon Redshift Spectrum.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74