SnapLogic Resources

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You can find whitepapers, case studies, datasheets and more in this section that cover a variety of topics including data integration, app integration, integration platform as a service (iPaaS) and more.

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We Left Informatica. Now You Can, Too.

This whitepaper features Gaurav Dhillon, Informatica co-founder and current CEO of SnapLogic, and James Markarian, former CTO of Informatica and current CTO of SnapLogic, discussing the state of the data and application industry over the last 25 years, and why using legacy technology like Informatica to address today’s modern challenges does not make sense. Read here.

Read this whitepaper to learn about:

• The business argument for leaving behind legacy technology, with a focus on moving away from Informatica
• The catalytic effect of businesses focusing on sunk costs rather than sunk opportunities
• The new face and role of IT –– from controller to enabler
• Real vs. fake cloud solutions for data integration
• Why enterprises must meet millennials’ expectations for IT

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The Data Lake Data Integration Challenge: Analyst Whitepaper

The future for big data processing lies in the adoption of commercial Hadoop distributions and their supposed deployments. The macro use case for big data are data lakes, which are massive amounts of structured and unstructured data that do not carry the same restrictions as traditional data warehouses. They store everything, including every type of data, any volume, any scope of data that may be use by enterprise data users, for any reason. Read here.

Despite the power and potential of data lakes, many enterprises continue to approach this technology with the same data integration approaches and mechanisms they’ve used in the past, none of which work well.

Read this David Linthicum whitepaper to learn why data lakes require data integration solutions that can deal with structured and unstructured data, along with some additional requirements:

• The need for schema-less data storage
• The ability to deal with streams of data that function in real time
• An entirely different approach to data integration that involves newer data integration technology

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8 Reasons Why Your Legacy Data Integration Plan Must Change: Analyst Whitepaper

The growth of data in enterprises is a well-documented concept, as many analyst reports show the massive growth of data within enterprises. Not surprisingly, most analysis includes reports of enterprises’ inability to manage and make use of that data.

The problem then may be in the inability to properly integrate data as data growth occurs within existing silos, which are increasing with the addition of new systems such as big data systems, cloud-based data, and the emerging use of the Internet of Things (IoT) data automation. Read here.

Read this David Linthicum whitepaper to learn how we will continue to see overall data growth for 8 major reasons, which include:

• The evolving use of data
• Diverse data types
• The desire to finally go “real time” with data delivery

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How to Build an Enterprise Data Lake: Analyst Whitepaper

“A data lake is more than a simple dumping ground for data. It has a data architecture and a technology architecture.”

This whitepaper from industry analyst and thought leader Mark Madsen explores the concept of a Data Lake and how it evolved to address changes and challenges in enterprise IT and new business needs. Read here.

Download now to learn:

• The idea (and ideals) of the Data Lake
• Misconceptions about data and its use
• A reference architecture for building your own Data Lake
• The problem then may be in the inability to properly integrate data as data growth occurs within existing silos, which are increasing with the addition of new systems such as big data systems, cloud-based data, and the emerging use of the Internet of Things (IoT) data automation.