Jet Global

NOVEMBER 5, 2020

That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. That works reasonably well for traditional reporting functions. Option 3: Azure Data Lakes. Data lakes are not a mature technology.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Jet Global

SEPTEMBER 4, 2020

Its solution was to replicate data from the production database, using data entities, into a traditional relational database. This approach allowed for the use of traditional reporting tools, including any third-party tools, as had always been the case with AX. Data Lakes. It is unstructured.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

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 means many of the reporting tools that customers previously used to access Microsoft Dynamics AX data will no longer work with D365 F&SCM.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

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. A Secrets Manager secret to store a Google Cloud secret.

Big Data 85

Big Data Software Consulting Unstructured Data 85

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