Please join us on Saturday, May 3rd, 2014, as both business analysts and IT professionals come to learn and network with experts for the first SQLSaturday Business Analytics edition. SQL Saturday Business Analytics edition is focused on enabling you with the latest tools and technologies to uncover new business insights through the use of data investigation and visualization.
Multiple tracks are available to attendees covering the latest with Visualizations, Analytics, Excel Power BI, Big Data, Hadoop, and Information Delivery. During these sessions, attendees will receive step by step instructions and learn best practice techniques.
- Excel Power BI - Learn from the ground up the new capabilities that enable the analyst to turn raw data into meaningful insights. This track will address data acquisition, cleansing, analytics modeling and advanced data visualizations all available within the analyst's go-to tool, Excel.
- Big Data & Hadoop - Business demand for Big Data insights are driving the adoption of a new enterprise data platform, Hadoop. This track will teach you the fundamental skills for working with this technology, deriving new insights from the unstructured data it holds, and integrating it with the traditional enterprise data warehouse to build a unified enterprise Big Data platform.
- Visualizations & Analytics - For the experienced power user of IT pro, this track provides a survey of new and advanced data visualization and analytic techniques.
- Information Delivery - Targeting the IT professional, learn the tools and techniques for building a successful Business Intelligence infrastructure using Microsoft technologies.
SQLSaturday is a completely free event with all costs being covered by donations and sponsorships.
Availability is limited so please don't wait too long to sign-up.
The event is being held at the Microsoft Offices in Las Colinas.
7000 State Hwy 161, Irving, TX 75039
Register here
Some sessions include:
Tim Costello - Pro Tips: Tuning the data flow in SSIS
David Browne - Enterprise Business Intelligence: Past, Present and Future
Eric Mizell - An Introduction to Hadoop