Traditionally, analytics have been siloed. Companies often separate systems for dashboards, data science, marketing analytics, etc. However, to maximize value from your data, initiatives to democratize analytics, making data and analytics more accessible to all users, are catching on.
Learn how Vertica can help drive data democratization efforts. We believe in the business imperative of becoming more data-driven and supporting the maximum number of concurrent users. Streaming data demands fast and constant ingestion, transformation, and data preparation. Reporting, machine learning, geospatial, ad-hoc queries – all these tasks must run simultaneously without bogging down performance.
Key Topics Include:
- Workload Isolation – Keep workloads in their own lane to have many simultaneous users doing analytics tasks without impacting each other.
- Analytics Your Way – Use your preferred BI visualization tools, Jupyter notebooks, ad hoc SQL queries, in-line analytics in applications, and other methods to analyze any way you’d like.
- Depth of Analytics – Move beyond traditional descriptive analytics to time-series, geospatial, and machine learning. You can appeal to more types of analytics users without the need to move your data.
- Security and Encryption – Fine-grained security keeps control of who gets the data and ensuring it will only get into the right hands.
How it Works:
This engagement will take place at a time of your choosing with the personalized opportunity to not only determine the key discussion points, but also drive the dialogue in a direction that is important to you and the challenges you face.
