Data Innovation Summit 2019

The Striim platform is an end-to-end streaming data integration and operational intelligence solution enabling continuous query/processing and streaming analytics. With Striim, you can get to know your data and sort out whats important the instant its born. Striim specializes in integration from a wide variety of data sources transaction/change data, events, log files, application and IoT sensor data and real-time correlation across multiple streams. Add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.

At this moment the world faces many global challenges related to environment, climate change, health, food insecurity, economic recovery or human displacement. To take appropriate action, governments have to understand and monitor the existing situation and therefore need relevant and timely data. The statistical community is tasked to deliver these data, in particular also data on the Sustainable Development Goals.

Data and technology is the single most comprehensive driver in marketing today. While most companies have a data-driven vision and have invested heavily in new talent, few have realized its full potential. The 2022 ANA Data & Technology Conference will explore data strategies, supporting technological innovations, and organizational management processes of several brands that have successfully navigated the overwhelming landscape and complexities taking place now and tomorrow.

The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures and demos to showcase how you can create modern data solutions of your own.