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Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes. Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). For the vast majority of financial and business reporting, this is a proven, reliable solution. Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.”

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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue

AWS Big Data

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")

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A Look at Data Entities and BYOD for Accountants

Jet Global

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.” Introducing Data Lakes. What are unstructured data? CustomerName.

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Migrate data from Google Cloud Storage to Amazon S3 using AWS Glue

AWS Big Data

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.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

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.