Jet Global

NOVEMBER 5, 2020

Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. For more on Azure Data Lakes, download this guide: “ Diving into Data Lakes: Is Microsoft’s Modern Data Warehouse Architecture Right for Your Business? ”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 83

Big Data Software Consulting Unstructured Data 83

Jet Global

OCTOBER 30, 2020

Reporting: A Few Technical Basics. Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” Data lake” is a generic term that refers to a fairly new development in the world of big data analytics.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 21, 2023

Since then, technology has improved in leaps and bounds and data management has become more complicated. As a response to emerging technology, data lakes took off along with the rise of big data. To address this, the data lakehouse was born.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52