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What is VertiPaq Analyzer?

The VertiPaq Analyzer serves as an essential resource for scrutinizing the data storage frameworks within Power BI and Analysis Services Tabular. It encompasses various metrics related to different segments and partitions, including pageable, resident, refresh date, and last access information. Dynamic Management Views (DMVs) provided by Analysis Services allow for the collection of valuable insights regarding the memory consumption of a data model. For example, the DISCOVER_OBJECT_MEMORY_USAGE DMV provides comprehensive information about all objects currently held in memory. This type of DMV is also beneficial for effectively tracking a Multidimensional instance of Analysis Services. A significant contribution to this field is the BISM Memory Report by Kasper de Jonge, which is a sample model that displays this information in a hierarchical format, enabling users to pinpoint the databases, tables, and columns that consume the most resources on a server. If you are interested in exploring a particular database further, more detailed insights can be accessed through additional specialized DMVs. By familiarizing yourself with these tools and understanding their functionalities, you can greatly improve your data management approaches and overall efficiency. Moreover, leveraging these insights can assist in optimizing system performance and resource allocation.

What is Bravo for Power BI?

Utilize Bravo to effectively evaluate your model's memory consumption and determine which columns can be removed for better optimization. In addition, Bravo's capability to export metadata to VPAX files significantly improves data management efficiency. Ensure your DAX code remains clear and well-organized by taking advantage of Bravo's tools, which make it easy to spot measures that need formatting and simplify the workflow through the DAX Formatter service. Bravo also aids in creating a Date table for your model, providing numerous calendar templates, language options, and holiday selections that cater to different countries. It not only allows for the addition of DAX measures for commonly used time intelligence calculations but also features customizable date templates along with a specialized template editor in Visual Studio Code. This enables companies to effortlessly implement standardization of their calendars across all departments through group policies, ultimately enhancing time management for every user and fostering greater operational cohesion. Furthermore, by ensuring consistent calendar formats, organizations can streamline their scheduling processes and improve overall productivity.

Media

Media

Integrations Supported

Microsoft Power BI
Microsoft 365
Microsoft Excel
Spark.work

Integrations Supported

Microsoft Power BI
Microsoft 365
Microsoft Excel
Spark.work

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SQLBI

Date Founded

2004

Company Location

United States

Company Website

www.sqlbi.com/tools/vertipaq-analyzer/

Company Facts

Organization Name

SQLBI Corp

Company Location

United States

Company Website

bravo.bi/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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