Ensuring the success of your big data implementation isn’t just as simple as buying a bunch of hardware and deploying Hadoop. Whether you are implementing big data for analytics, governance, data rationalization, or some other purpose, our goal is to help you understand how to overcome the wide variety of challenges involved in making big data work in your environment.
Data wrangling has quickly become a hot topic and technology category within the Big Data/Analytics industry. Stakeholders across business and IT are hungry to learn the right way to think about applying these new data wrangling solutions to the analytics efforts of their organization. As with any emerging technology, the leading question from organizations still learning about data wrangling is “What are the top use cases?” If this question is one that your organization is trying to figure out, then this is the session for you!
During this presentation, Trifacta co-founder & CTO Sean Kandel will cover the most popular use cases for data wrangling we see in real enterprise environments. The talk will include examples of how leading organizations such as PepsiCo, Royal Bank of Scotland and Kaiser Permanente are leveraging data wrangling to not only accelerate analysis processes but also incorporate new data sources that were previously too difficult to work with. Sean will also address common questions for data wrangling solutions such as – Where do data wrangling tools fit? Who are the ideal users? How are security and data governance managed?