Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
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Live data access from Spark to Azure Analysis Services
Unlock your data initiatives with live access to the data users need within any app or platform.
Provide safe, governed access to the data your teams need in a no/low-code interface, so they can access live data within the app, tool, or spreadsheet of their choice, accelerating analytics, business intelligence, and reporting.
Spark:
Apache Spark SQL is a powerful data processing engine that allows users to run SQL queries on large datasets in a distributed computing environment. It seamlessly integrates with Spark's core functionality, enabling users to perform complex data transformations, aggregations, and analytics with ease. Spark SQL also supports various data formats and sources.
Azure Analysis Services:
Azure Analysis Services is a fully managed platform as a service (PaaS) that provides enterprise-grade data modeling and analysis capabilities in the cloud. It allows users to create data models, perform complex analytics, and generate insights from large volumes of data. With scalable and secure features, it enables organizations to make data-driven decisions efficiently.
Discover, blend, and access data from Spark in Azure Analysis Services
CData Connect Cloud provides a collaborative. live data access and connection platform that empowers data users to use data securely in their preferred tools, while maintaining data governance controls for technical experts. Connect Cloud provides a live copy of the data without actual data movement. Enable every stakeholder in the organization to always have access to the data they need without constantly submitting request tickets.
- Sophisticated connection to Spark with built-in query engines that enable advanced connection capabilities, which won't break over time.
- Data governance controls to protect data in Spark with transparent role-based access rules.
- Create and save purpose-built views of data for specific uses in Azure Analysis Services that update with changes to Spark.
- Work with virtual dataset views of Apache Spark SQL data instead of entire tables and datasets.
- Blend, customize, and rearrange data in Connect Cloud so its ready for Azure Analysis Services.
Access Spark in Azure Analysis Services
Spark to Azure Analysis Services Features
No data movement required
Ditch the complicated ETL/ELT data integration tools and skip right to using data in the tool you need.
Powerful user-based access controls for centralized data governance
Grant unlimited self-serve data access to users without the possibility of accidentally viewing, altering, or deleting data.
Any data, any application – available in familiar rows and columns
Connect Cloud does the hard work of translating any source connection to tables that can be read by SQL or analyzed in a spreadsheet.
Access live Spark data in other popular tools
No complicated data movement, ETL, or data integration required. Enable access to data directly from the data systems you already use. Select your preferred tool below to learn more.
APOS Live Data Gateway
Airbyte
Alteryx Designer
Amazon AWS Glue
Amazon QuickSight
AppSheet
Azure Data Factory
Bubble.io
Choreo
Cognos Analytics (On-Prem)
Google Apps Script
Google Sheets
Infragistics Reveal
Jitterbit
Klipfolio
Looker
Mendix
Metabase
MicroStrategy
Microsoft Excel
Microsoft Power Apps
Mode Analytics
MuleSoft Anypoint
Nintex Workflow Cloud
NodeJS
OutSystems
Power Automate
Power BI Service
Qlik Cloud
Redash
SAP Analytics Cloud
SAP Crystal Reports
SQL Server PolyBase
Salesforce Connect
SnapLogic
Tableau Cloud
Unqork
Zoho Analytics
