How to join Flat File and Microsoft SQL Server Analysis Services (SSAS)

Discover how to join Flat File with Microsoft SQL Server Analysis Services (SSAS) for integrated analysis.

WITH DATA VIRTUALITY PIPES
Replicate Flat File and Microsoft SQL Server Analysis Services (SSAS) data into one target storage and analyze it with your BI Tool.
How to join Flat File and Microsoft SQL Server Analysis Services (SSAS) with Pipes


About Flat File

A flat file is a database typically stored on host computer systems as unstructured files. To manipulate and access the structure of the data, the files must first be read completely in the computer's memory. The file is written out completely to the host file system after completion of the database operations. Flat files are often plain text or binary files.

About Microsoft SQL Server Analysis Services (SSAS)

Microsoft SQL Server Analysis Services, SSAS, is an OLAP and data mining tool in Microsoft SQL Server. SSAS is used by organizations as a tool to analyze and understand information that may be spread across multiple databases or in different tables or files. Analysis Services provides a group of OLAP and data mining functions.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Flat File, Microsoft SQL Server Analysis Services (SSAS) and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • SQL Modelling Layer
  • Complex Replication Types
  • Advanced Jobs & Schedules
  • Metadata Repositories
  • Custom Extraction Definitions
  • Job Dependencies
  • Multiple Target Storages
  • Data Federation Features
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.