Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Best practices and solutions to manage and govern a multinational big data platform

Clara Fletcher (Accenture), Nayanjyoti Paul (Accenture)
14:55–15:35 Friday, 3/06/2016
Security
Location: Capital Suite 15/16 Level: Intermediate
Average rating: ***..
(3.67, 3 ratings)

Prerequisite knowledge

Attendees should be familiar with data security, data privacy, big data fundamentals, metadata management basics, data lineage understanding, and enterprise architecture knowledge.

Description

The average consumer is now becoming a global consumer, whether it be through international travel or sharing and consuming international media that generates data in several regions. As companies seek to expand their global data footprint, many new challenges arise. How can data be shared across countries? How can a company go about managing all of the policies and regulations specific to each country that customers reside in? Brands of large organizations need to know trends at a regional level but be able to broadcast insights at a global level while meeting the security and privacy guidelines of their organization and local governments. Global companies must be able to understand and unify data from many data centers often based all over the world.

Clara Fletcher explores best practices and lessons learned in international data management and security. Creating a global data enterprise is only going to become more crucial to companies. The cost of not having a unified strategy for businesses will be large and may come in the form of redundant infrastructure expenses, low KPI adoption, and unnecessary organizational overhead. Tackling the security and organizational challenges of creating a multinational solution is complicated, but Clara outlines several short-term and long-term practices that can be developed to ensure that a central global platform is compliant with enterprise security standards and meets the demands of large organizations.

Photo of Clara Fletcher

Clara Fletcher

Accenture

Clara Fletcher is a senior manager and technical architect at Accenture. Clara comes from a broad background that includes econometric forecasting, complex event processing, and infrastructure design and enterprise data provisioning. She is actively involved with emerging big data technologies, industry interest groups, and volunteer education programs. She has won the National Service Trust award, served as a Hackbright mentor, and holds a patent in digital document verification technology. Clara also instructs the Accenture hands-on big data course and is the lead of the online NoSQL course development.

Nayanjyoti Paul

Accenture

I am a Hadoop Big Data consultant working on Data Science, Advance Analytics, Predictive Modeling, Machine learning and IOT.

I have designed and implemented various Hadoop Big Data products details of which can be found at http://ngvtech.in