Build a SaaS Marketing Data Lake for Faster Analytics

Build a SaaS Marketing Data Lake for Faster Analytics

April 28, 2016 0 Comments
Build a SaaS Marketing Data Lake for Faster Analytics 870x220

Are you considering building a SaaS marketing data lake for faster analytics? Learn the ins and outs of setting up a data lake in this free webinar replay.

Data lakes are the latest trend in marketing. They allow you to store data in any size and shape—semi-structured, unstructured and others. The schema on read approach allows for a flexible analytics architecture for your organization. Top CMOs and CIOs everywhere are investing in creating massive big data repositories for their marketing data.

Why invest in a data lake? Today, the individual marketing applications give you batch updates and generate reports for you. However when these data silos are broken and merged into a data lake, your organization will get access to comprehensive information about the entire web/digital behavior of your customers. This information will let you make better and faster decisions from your analytics infrastructure.

Connecting SaaS Sources

Most of the popular marketing applications currently reside in the cloud. Connecting these various SaaS sources is becoming a primary challenge for organizations adopting Big Data.

ISVs especially are accelerating big data technology adoption with a single interface to numerous marketing cloud data sources such as Salesforce, Marketo, Eloqua, Oracle Service Cloud, Google Analytics and Adobe Omniture. Having this data in a single, unified location yields a 360 degree view of the business. But, how do you get all of this SaaS data into your Data Lake? That’s why we are here to help.

Sumit Sarkar and Gary Angel explored the value that SaaS data brings to a data lake, particularly how storing all of types of data in a central location. For this to work, real-time data access and connectivity are critical.

Learn Key Takeaways

You will learn from the best. Sumit Sarkar (Chief Data Evangelist, Progress) and Gary Angel (Partner/Principal, Digital Analytics Center of Excellence, Ernst and Young) are leaders in the data connectivity/data analytics industry. Gary Angel, prior to Ernst and Young, was the founder and CEO of Semphonic, a global leader in Digital Measurement and Web analytics. Below are some key takeaways from the webinar.

View the live webinar to find out: 

  • How a marketing data lake works
  • Industry trends around accessing marketing data in SaaS applications
  • How to ingest data with Apache Sqoop and Apache Falcon directly from SaaS applications
  • How big data vendors can tie into SaaS connectivity.


After the webinar, Gary and Sumit held a question and answer session with questions from the audience. In this Q&A you will find out the answers to these key questions:

  1. If a data lake stores raw and unstructured data, how do you create analytics that the business can trust to make decisions on?
  2. What data model does your JDBC interface expose against marketing SaaS applications?
  3. What are some of the most common big-data tools that you use in your practice?

Watch the Replay

Our team at Progress takes pride in offering the latest and greatest in data connectivity solutions, and we love to keep our customers up to date in the industry and help them succeed. We hope you watch this webinar replay, and if you would like to try any of our connectivity solutions mentioned in the webinar, grab a trial today, absolutely free! We value you and we value your success. Click here to watch the webinar replay.

Suzanne Rose

Suzanne Rose

Suzanne is passionate about promoting the Progress Data Connectivity and Integration business and corporate initiatives through social media and other marketing channels using extraordinary and compelling content and effective metrics. She is also team lead for DCI content developers, new hires and interns.

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