Planning for a Scalable Enterprise Data Lake

tdwi.org

In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. The flaws in early data lakes were often rooted in the expectations of data consumers who put a premium on self-service data analytics. However, with no data governance mechanisms, data lakes quickly became more of a glorified “dumping ground,” “data swamp,” or “beta lake” for organizational data.In recent years, though, some innovations have allowed the data lake to evolve into an agile yet managed environment for accumulating shared data resources that can be optimally used for competitive advantage. Data lakes have evolved beyond the original on-premises concept based solely on Hadoop and now include pretty much any distributed computing platform (Hadoop, Spark, EMR, serverless, etc.) and any storage mechanism (HDFS, S3, ADLS), either on-premises or in the cloud.
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Spotlight

SAP customer data management solutions enable your business to truly understand who your customers are. Turn anonymous users to known customers and loyal brand advocates and provide truly personalized experiences while respecting customer consent.

OTHER ON-DEMAND WEBINARS

How to Gain a Crisis Advantage with Real-Time Information

To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn
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The Semantic Layer’s Critical Role in Modern Data Architectures

Many of the most exciting innovations and advancements in data management today are occurring within the semantic layer of data architectures. For example, we’re witnessing new or improved approaches to semantic modeling, data cataloging, data lineage, and more. Even older forms of semantics—such as metadata and virtualization—are being infused with new techniques for augmentation and automation, including intelligent tool algorithms driven by machine learning and the use of graph analytics to generate data maps and automatically document data elements found via graph.
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Enabled Data Quality and Data Governance

infogix

Analytics-Enabled Data Quality and Data GovernanceJoin us for a FREE 1 hour webinar where we will review how statistical controls, machine learning and other analytical approaches can validate data and enforce governance in smarter ways, thus allowing for a more proactive approach to trusting and understanding data across the enterprise. We will also provide a demonstration of how this can be achieved quickly to achieve quick wins.
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Building a Data-Driven Business, Transforming Analytics Capability Through Data and AI

75% of organisations believe they are not living up to their analytics potential. Research has shown that there are 5 major factors holding organisations back from fully utilising analytics in their business, these include: It’s time to change your experience with data and analytics. Data is growing exponentially and and more organisations are starting to realise that becoming data-driven is imperative to their success. Join us for this webinar as we take you through how to transform your analytics capability through data and AI to become a truly data-driven business.
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Spotlight

SAP customer data management solutions enable your business to truly understand who your customers are. Turn anonymous users to known customers and loyal brand advocates and provide truly personalized experiences while respecting customer consent.

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