Succeed with Smart Data-Driven Decision Making

Presented by

Lokesh Sharma, Sales Director - Vertica, India & SAARC & Gauarv Shinh, Founder and CEO Daas Labs

About this talk

Now you can define a data strategy and implement a data platform that serves as a single version of the truth to acquire, analyse, transform, and report data – a one-stop shop for all data needs across the enterprise. We invite you to join our upcoming Partner Virtual Meeting and listen to our experts talk about building an authoritative data analytics/ visualization platform that acts as single source of truth for all data related queries. During the meeting we will also update you on data ingestion and integration, data discovery, data quality and governance, data warehouse and data lake development, data consumption, and data as a service design patterns. Key highlights: •Solution to data migration problem using a no-code interface •Design patterns and approaches to discover and curate the ingested dataset •Leverage self-serve and no-code platform to generate actionable insights and consume Data-as-a-Service Please join us to discuss ways to leverage a modern data ecosystem that brings agility, transparency, smartness, and confidence to the enterprise decision-making process.

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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.