Jet Global

NOVEMBER 5, 2020

OLAP reporting has traditionally relied on a data warehouse. Again, this entails creating a copy of the transactional data in the ERP system, but it also involves some preprocessing of data into so-called “cubes” so that you can retrieve aggregate totals and present them much faster.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 114

Data Lake Data Warehouse Data-driven B2B 114

Jet Global

SEPTEMBER 4, 2020

That’s appropriate and adequate for traditional reporting tasks. For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses have been in widespread use for years. Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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 110

Data Lake Big Data Data Warehouse Consulting 110

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.” That stands for “structured query language.” What are unstructured data? It’s probably easiest to answer that by giving a few examples.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

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.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 7, 2023

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52