Five Ways Analytical Platforms Are Evolving for Your Hybrid, Multi-Cloud Future

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Join Doug Henschen, Vice President and Principal Analyst at Constellation Research and Mike Conway CTO, Bidtellect

About this talk

Companies that are not innovating with data are in danger of being disrupted. And companies that are not at least considering the agility and flexibility of cloud options are missing a crucial path to data-driven innovation. The question is, how can organizations prepare for their cloud future without moving everything to the cloud today? And how can organizations future proof their investments, avoid both cloud lock-in and architecting for two separate (cloud and on-premises) worlds. Join Doug Henschen, vice president and principal analyst at Constellation Research, and Mike Conway, CTO, Bidtellect for a discussion on the trends in data-driven innovation and next-generation analytical platforms that can span multiple cloud and on-premises deployment. You’ll learn: • Why hybrid- and multi-cloud deployment flexibility is a must • How separation of compute and storage changes the economics of analytics • Why operationalizing data science innovation, leveraging machine learning, is crucial for business impact • How data lakes are evolving, requiring yet more flexibility from analytical platforms • Why it’s crucial to obtain scalability and performance proof points before choosing a platform

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.