Join Cazena + Cloudera at Boston Azure Data Fest 2019: The Azure Data & Analytics Conference
Wednesday, January 9, 2019
9:00am - 6:00pm ET
Microsoft Technology Center, Burlington, MA
The Boston Azure Data Fest 2019 is an event organized by Microsoft and local analytics user groups across New England. Cazena + Cloudera and our local partners will share a table at the event, and will participate in an expert session on enterprise data science (more below). Please register on the event site to attend. We hope to see you there! Register and Learn More on the Boston Azure Data Fest 2019 Event Site >>
Featured Session #1: Enterprise Data Science on Azure: Tools & Techniques for Success
When & Where: Okemo Room, Wed, January 9th @ 11:30 AM- 12:30 PM ET
Many companies see the potential for data science, machine learning and AI. However, these are also seen as costly and time consuming, with data scientists working for months or years before arriving at impactful results. Growing data science teams are frequently challenged by inadequate infrastructure and data access, thus limiting innovation and increasing the risks of shadow IT.
Recent developments are now drastically improving time-to-value: There is a new generation of software tools focused on automation of machine learning and AI, and a new focus on streamlining the “ops” side of data science to support a variety of capabilities while balancing security and governance. Learn more and see a demo from Dr. Daniel Parton, lead data scientist with Bardess.
- Hear expert perspective on automating and operationalizing data science, including advice on scaling models and data, managing workflows, sharing cloud resources, driving useful collaboration, and automated ML tools.
- See a live demo of an enterprise data science environment on Azure that supports SQL, R, Python, Cloudera Data Science Workbench, DataRobot and many other data science, ML, analytics and business intelligence tools.
- Get an introduction to the demo platform, Cazena’s fully-managed Data Science Sandbox as a Service on Azure, which embeds Cloudera, security, analytics engines and 24x7 operations.
Speaker: Dr. Daniel Parton, Lead Data Scientist, Bardess
Dr. Daniel Parton leads the data science practice at the data consultancy, Bardess. He brings both practical and management experience to his role of leading cross-functional data analytics teams. Following his academic career in computational biophysics, Parton has led successful and impactful projects for companies in finance, retail, tech, media, manufacturing, pharma and sports/entertainment industries.
Technical Panel for Data Science
Featured Session #2: Right to the Heart of Customer Data
When & Where: Bretton Woods Room, Wed, January 9th @ 1:15 - 2:15 PM ET
This session will feature an overview of Customer 360 Powered by Zero2Hero, the first Integrated Solution on the Azure Marketplace. Customer 360 Powered by Zero2Hero is a complete platform that enables organizations to better understand their customers, learn from their behavior and deliver personalized interactions based on available data. In this session I will discuss the benefits of working with multiple partners including Cazena, Cloudera, Trifacta, Qlik and others to create a stack solution like Zero2Hero.
Speaker: Philip Duplisey, Sr. Director, Strategy Consulting, Bardess
Philip is a seasoned IT professional with hands-on experience implementing enterprise wide solutions across the data analytics value chain including Big Data, BI (Business Intelligence) Advanced Analytics, ERP (Enterprise Resource Planning), and SCM (Supply Chain Management) solutions worldwide at and for Fortune 500 companies. Able to work in various roles, Philip has led large diverse teams in solving technically challenging business problems. Full life cycle implementations from conceptualizing the solution with CxO level management, designing system functionality in collaboration with SME’s and project stakeholders, to hands on specification and code development, Philip has always delivered pragmatic solutions that balance completing tradeoffs.