Real-Time Big Data Analytics Use Cases - RSA

Monetize Your Big Data!

We at Vertica are excited to invite you to our first Meetup in RSA.

Organizations of all sizes are generating massive amounts of data that, when analyzed properly, can deliver a true competitive advantage in today's fast-paced business environment.

How is your organization accessing and analyzing its data?
A few topics that will be discussed include examples from our guest speakers:

• Amit Manor, SME Big Data EMEA – Vertica the analyzer of everything,

Vertica was purpose built to give you high-performance data analytic capabilities for ALL your data to make better business decisions in real time. Vertica (http://www.vertica.com/) is the number one Big Data vendor, according to Wikibon (http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Vendor_Revenues), with over 3500 customers (http://www.vertica.com/customers/), leveraging our real time technology for network management, security, campaign management, traffic analysis, application insight and more. Amit will share how customers like Facebook, Zynga, Uber, Bla Bla car are using Vertica’s advanced analytical function to seize the data.

• Ahmed Zaheer, Big Data Solution Architect - Leap ahead with Big Data - HPE Vertica provides drastically improved data management and query performance over traditional relational database systems, provides high-availability, and requires no special hardware to achieve these results.

HPE Vertica gives you the power to quickly and easily load, explore, and analyze semi-structured data, such as social media, sensor, log files, and machine data. HPE Vertica SQL on Apache Hadoop® offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. Vertica provides a number of Machine Learning functions for performing in-database analysis. These functions can perform a number of data preparation and predictive tasks within the database

• Aadil Aboobaker - Co Founder at Brainbug Intelligence – will describe a POC that the company conducted evaluating several Big Data Platform and why they chose to go for Vertica.