Cloud Data Warehouse Modernization

tdwi.org

The economic model and elegance of cloud environments are motivating companies to assess their existing on-premises data warehouses and modernize their enterprise information environments. However, confusion about what is meant by “modernization” has led some to believe that “lifting and shifting” their on-premises implementation to a cloud environment is the default approach. In these cases, the results are mixed—while the system has technically been moved to a modern cloud platform, by no means is it modernized.
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Spotlight

There are five key trends in the BI industry that I believe we’ll see take center stage in 2018. These trends are being driven by several factors including the huge investments that have been made in AI, governance issues that have been associated with desktop analytic products, the increasing push toward enterprise products and the growing demand to leverage big data in all industries.

OTHER ON-DEMAND WEBINARS

How Law Firms Leverage Data to Optimize Productivity and Case Management

Join Datavative and The Johnson Firm to learn how law firms of all sizes leverage the Domo platform to manage and optimize productivity and case management. No matter if you are a plaintiff firm, defense firm, corporate firm, or retail firm, Domo will help you increase revenue while decreasing expenses.
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Real-time Machine Learning: Architecture and Challenges

Fresh data beats stale data for machine learning applications. This on demand webinar discusses the value of fresh data as well as different types of architecture and challenges of online prediction, it will also cover the tradeoffs between latency, staleness, and cost.
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Modernizing Data Architecture With Streaming CDC

Modernising Data Architecture with Streaming CDC Expanding analytics requirements have increased the appetite for massive data volumes. However, these data flows can create bottlenecks, preventing timely and modern analytics innovations such as machine learning. This is where streaming Change Data Capture (CDC) comes in.
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ADVANCING CANCER TREATMENT WITH SELF-SERVICE DATA PREPARATION

Paxata

PrecisionProfile – a bioinformatics technology company – focuses on enabling oncologists and research scientists to rapidly analyze genomic profiles and create personalized treatment plans for cancer patients. Like most organizations, PrecisionProfile struggled with the most time-consuming part of every analytics exercise - combing, cleaning, and shaping data into actionable information. With self-service data preparation, they were able to design and develop a platform to accelerate data pipelines, enabling scientists to spend more time analyzing data and formulating how they can leverage it to save lives. View this webcast to learn: Empower researchers and oncologists to spend a fraction of their time restructuring data. Reduced cycle time of a genomic clinical study from 1-3 months to 2-8 hours.
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Spotlight

There are five key trends in the BI industry that I believe we’ll see take center stage in 2018. These trends are being driven by several factors including the huge investments that have been made in AI, governance issues that have been associated with desktop analytic products, the increasing push toward enterprise products and the growing demand to leverage big data in all industries.

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