Strategies for Fitting a Data Lake into a Modern Data Architecture

McKnight Consulting Group

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.
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Spotlight

Integrating analytics into UX work helps to make data-based decisions and focus efforts on projects with the most significant impact.

OTHER ON-DEMAND WEBINARS

Transform Retail with IBM Big Data Solutions

TechD

New technologies have permanently transformed how customers communicate, interact, research and shop for goods and services. Retail data paired with retail analytics, can assist retailers in understanding and responding with actionable retail insights to the disrupted landscape and changing customer expectations.
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Top Trends in Modern Data Architecture for 2019

Percona

From AI and machine learning to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization's data-driven goals. Greater speed, flexibility, and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions, including data lakes, in-memory databases and engines like Spark and cloud services of all shapes and sizes.
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Building a Skills Database and Driving Training Results

A brief 20 minute webinar to learn about the importance of validating skills in training platforms, skill profiles and what they can/can’t tell you, and how to use skill reporting to make better hiring decisions.
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Why the Solution to Data Democratization Is in the Stars

Data democratization is tough for even the most established enterprises. Now imagine how difficult it is for an organization working to eliminate the connectivity and data access barriers that hold economies and communities back.
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