Optimize Large-Scale Reporting and Complex Analytics with Cloud Data Warehousing

August 16, 2022 | 12:00PM EST | USA

Optimize Large-Scale Reporting and Complex Analytics
With data demands rising, organizations in insurance, financial services, and other industries are outgrowing legacy data warehouses and moving to the cloud. Better price for performance is a huge draw. Yet many firms are finding that a single cloud platform is not enough to handle hundreds of concurrent reports or users and can be risky as a single point of failure. Not to mention handling analytics that require interactive access to data sets now measuring hundreds of terabytes and petabytes. Organizations are finding that they need distributed cloud solutions that offer higher scale and performance.
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Spotlight

The technological advances in storage, processing, and analysis of Big Data include (a) the rapidly decreasing cost of storage and CPU power in recent years; (b) the flexibility and cost-effectiveness of datacenters and cloud computing for elastic computation and storage; and (c) the development of new frameworks such as Hadoop, which allow users to take advantage of these distributed computing systems storing large quantities of data through flexible parallel processing. These advances have created several differences between traditional analytics and Big Data analytics.

OTHER LIVE WEBINARS

Graph Databases – Benefits and Risks

October 27, 2022 | 2:00PM EST

Graph databases provide the ability to quickly discover and integrate key relationships between enterprise data sets. Business use cases such as recommendation engines, social networks, enterprise knowledge graphs, and more provide valuable ways to leverage graph databases in your organization. This webinar will provide an overview of graph database technologies, and how they can be used for practical applications to drive business value.
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Business-Centric Data Modeling

September 22, 2022 | 2:00PM EST

Business-centric data models are key to gaining a clear view of the data that drives the business – from customers to products to invoices and more. They offer a clear, visual way for both business and technical stakeholders to communicate around the crucial business rules and definitions that drive both operational usage of data as well as analytics and reporting. This webinar will provide practical, concrete steps in creating valuable, business-centric data models that can show immediate value to the organization, while at the same time building towards a full-enterprise view.
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Expert Panel: Modern Data Pipelines

August 30, 2022 | 3:00 PM EDT

At TDWI, we see data management and analytics continue to evolve as organizations seek to become more agile, gain deeper insights, and take action on increasing amounts of data. Modern data and analytics require scalability, flexibility, and the ability to handle diverse data types. Organizations are often utilizing modern data pipeline tools to move data to new environments (such as the cloud), keep that data fresh, and make it available for analytics.
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SaaSy Modern Data Protection - Avoid data loss while keeping costs under control

September 14, 2022 | 09:00 AM PST

Keeping your data available, accessible, and secure across SaaS, cloud, virtual and physical environments is key to a unified business continuity strategy. Join Henry Baltazar Research Director at 451 Research a part of S&P Global Market Intelligence, Karinne Bessette, Veeam Product Strategy, and Stuart McRae Executive Director
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Spotlight

The technological advances in storage, processing, and analysis of Big Data include (a) the rapidly decreasing cost of storage and CPU power in recent years; (b) the flexibility and cost-effectiveness of datacenters and cloud computing for elastic computation and storage; and (c) the development of new frameworks such as Hadoop, which allow users to take advantage of these distributed computing systems storing large quantities of data through flexible parallel processing. These advances have created several differences between traditional analytics and Big Data analytics.

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