AWS Big Data

JULY 31, 2023

We create the insert_orders_fact_tbl AWS Glue job manually using AWS Glue Visual Studio. You can use AWS Glue Studio to create jobs that extract structured or semi-structured data from a data source, perform a transformation of that data, and save the result set in a data target. Choose Create job.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Open file formats enable analysis of the same Amazon S3 data using multiple processing and consumption layer components.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

Jet Global

SEPTEMBER 4, 2020

Now, instead of making a direct call to the underlying database to retrieve information, a report must query a so-called “data entity” instead. Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

MARCH 26, 2024

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84