BIG DATA MANAGEMENT

Sesame Software Announces High-Volume Data Connector for Marketo to Integrate and Replicate Data to Any Data Warehouse

Sesame Software | June 18, 2022

Sesame Software
Sesame Software, the innovative leader in Enterprise Data Management, today announced a new high-volume data connector for Marketo. With Relational Junction, you can easily integrate Marketo with cloud applications and relational databases to the data warehouse of your choice. This connector empowers marketers and data teams to improve the quality of their data, eliminate silos, and uncover new insights into marketing performance.

Modern-Day Marketers
Relational Junction provides Marketo users with the ability to sync data for a complete view of the customer lifecycle.

Marketo users work with a full stack of different technology platforms daily and collecting, analyzing, and making sense of all that data can be difficult. Relational Junction solves this problem by enabling users to easily integrate Marketo with various platforms. With Relational Junction, you can have all your data in a single source of truth to explore new correlations and get thoughtful insights about your marketing and business performance.

Relational Junctions Key Benefits:
  • Easily access, discover, replicate and integrate Marketo data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications
  • Connect and unify all of your Marketo data to the destination of your choice for a complete view of your critical business data across your entire organization
  • Move data at the fastest possible data movement with hyper-threaded high-volume data connectors
  • Keep your data fresh with automated data syncs for timely insights and accurate reporting
  • Launch in minutes with no coding, data mapping, or maintenance
  • Relational Junction for Marketo

Ultimately, Relational Junction's data connector for Marketo allows data teams to get to their data faster and data engineers to work on higher-value projects.

"Relational Junction breaks the data engineering bottleneck by offering patented hyper-threaded technology that ensures the fastest possible data movement for Marketo. With simple click-and-load deployment, Relational Junction will have you up and running faster than any other traditional ETL tool."

- Rick Banister, CEO of Sesame Software

The platform's scalable architecture evolves and updates with organization-spanning data needs that continuously change. Knowing data is always fresh and up to date allows for new ways to customize messaging and drive better customer experiences with more targeted and informed campaigns.

About Sesame Software
Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

Spotlight

Standards play a central role in creating an ecosystem that supports current and future needs for broad, real-time use of predictive analytics in an era of Big Data. Just a few years ago it was common to develop a predictive analytic model using a single proprietary tool against a sample of structured data. This would then be applied in batch, storing scores for future use in a database or data warehouse. Recently this model has been disrupted


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BIG DATA MANAGEMENT,DATA SCIENCE

Data Complexity Untangled by Rowbot.io and Geeq’s Newly Announced Strategic Partnership

Geeq | August 29, 2022

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DATA VISUALIZATION

Skykit Survey: Sharing Data Dashboards Broadly with Employees is Challenging, but Reaps Big Rewards

Skykit LLC | July 14, 2022

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BIG DATA MANAGEMENT

Micro Focus' CyberRes Partners with Google Cloud to Enable High-Scale Secure Cloud Analytics with Data Privacy

CyberRes | August 08, 2022

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

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Yellowbrick | August 22, 2022

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Spotlight

Standards play a central role in creating an ecosystem that supports current and future needs for broad, real-time use of predictive analytics in an era of Big Data. Just a few years ago it was common to develop a predictive analytic model using a single proprietary tool against a sample of structured data. This would then be applied in batch, storing scores for future use in a database or data warehouse. Recently this model has been disrupted

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