Live Webinar Jan 10th, 2017 1:00 pm – 2:00 pm EST
Activity Type: Education – Course or Training  1 Hour  1 PDU/CDU
Provider: IIBA

1. Are you looking to get 2017 off to a productive start?
2. Are you wondering how to maximize the use of your time and move more quickly towards your business analysis career goals?

In this webinar, Laura will discuss the 5 New Years’ Resolutions that every new and aspiring business analyst should have on their radar.

Presenter: Laura Brandenburg (LinkedIn profile, @LLBrandenburg) CBAP is the author of How to Start a Business Analyst Career: The handbook to apply business analysis techniques, select requirements training, and explore job roles … career (Business Analyst Career Guide),  Bridging the Gap, which offers a BA career planning course (it’s free) to help you start your business analyst career. She’s reviewed hundreds of BA resumes and is ready to help you improve yours!

Click to register for:
IIBA: 5 New Years’ Resolutions
Every BA Should Have On Their Radar

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar – January 11th, 2017 10:00 am – 12:00 pm EST
Activity Type: Education – Course or Training  2 Hour s 2 PDUs free
Provider: IAG Consulting (REP 2858)

This webinar gives an overview of key business intelligence and data warehouse concepts for Project Managers and Business Analysts.

The definition of the business requirements for analytical processing / decision support systems require different techniques than the process and data modeling used for transactional processing systems.

For a BI project, Business Analysts and Project Managers need to identify the business questions, facts, measures, and dimensions needed for the data warehouse.

IAG will provide a simple, easy-to-understand and easy-to-apply process that analyzes and defines the business objectives, usage scenarios, questions and queries that will yield the a conceptual multi-dimension model and form the basis of the business requirements for the data warehouse and business intelligence system requirements of your projects.

Learning Objectives:

1. How to conduct data warehouse business analysis
2. How to elicit requirements for the business intelligence aspects of projects
3. How to define requirements for on-line analytical processing and decision support systems

Click to register for:
Requirements Definition Best Practices
For Business Intelligence Projects

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar January 10th, 2017 – 1:00 pm – 2:00 pm  EST
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: ProjectManagement.com/Gantthead (REP #2488)
Once viewed your PDU Will automatically Be recorded with PMI®

ProjectManagement.com / Gantthead premium content
Is available to PMI® members.

With in-house project management capability again overall increasing maturity during 2016, differentiating yourself as a consultant Project Manager will require an ever evolving skill set in order for you to survive.

Whether you are starting out on your journey into Project Management consulting, or are an experienced industry professional, this presentation will cover the latest PM trends as well as looking at the key skills clients are asking consulting companies to provide.

During this webinar, Colin Lough (LinkedIn profile) will also cover key techniques and insights into how best to seal that consulting opportunity in 2017.

New year, new skill set required!

Note: You have to sign in to ProjectManagement.com with your PMI® credentials to register for this opportunity. If you are not signed in with your PMI® credentials you will not see the “Register for this webinar” link

Registration for this session is close to being full. If the registration is closed they are at maximum capacity for the live webinar.

An on-demand recording will be available at the link below
within 72 hours of the live session.

Click to register for:
Project Management Skills For The Consulting Industry

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.

Live Webinar January 12th, 2017 1:00 PM – 2:00 PM EST
Activity Type: Education – Course or Training  1 Hour  1 PDU free
Provider: O’Reilly

Big data and data science promise to bring unprecedented levels of insight and efficiency to everything from working with data and working with customers to curing cancer.

To successfully deliver on this promise, traditional enterprises are building data lakes, which bridge the gap between enterprise data warehouses, where data is a precious commodity carefully tended to by professional IT personnel, and the freewheeling culture of modern Internet companies.

An enterprise data lake must provide three new capabilities: cost-effective scalable storage and computing; cost-effective data access and governance; and tiered, governed access, based on user needs, skill levels, and applicable data-governance policies.

Drawing on a 30-year career developing leading-edge data technology and working with some of the world’s largest enterprises on their thorniest data problems, Alex Gorelik, author of the forthcoming book The Enterprise Data Lake, discusses the considerations of and best practices for building data lakes, with examples taken from the world’s leading big data companies and enterprises.

Topics include:

• How to start and grow a data lake, including data warehouse offloading, analytical sandboxes, and “data puddles”
• Setting up different tiers of data—from raw, untreated landing areas to carefully managed and summarized data
• How to enable self-service to help users find, understand, and provision data and provide different interfaces to users with different skill levels
• Staying in compliance with enterprise data-governance policies

Presenter: Alex Gorelik (LinkedIn profile, O’Reilly bio) BSc MSc CEO of Waterline Data, enhances the value of Hadoop through data self-service and governance. Alex is a serial entrepreneur, author of The Enterprise Big Data Lake: Delivering on the Promise of Hadoop and Data Science in the Enterprise and innovator who has spent 30+ years inventing and bringing to market cutting-edge data-oriented technology. Prior to Waterline, Alex was an EIR at Menlo Ventures; held several executive roles at Informatica, including GM of Informatica’s Data Quality Business Unit and  SVP of R&D for Core Technology. Alex is a former founder, CTO, and VP of engineering at Exeros (acquired by IBM in 2009) and cofounder, CTO, and VP of engineering at Acta Technology (acquired by Business Objects in 2002). Alex has also managed development of the replication server at Sybase and developed the database kernel at Amdahl’s Design Automation group.

Click to register for:
How To Build A Successful Enterprise Data Lake

NOTE: For PMI® Audit Purposes – Print Out This Post!  Take notes on this page during the presentation and also indicate the Date & Time you attended. Note any information from the presentation you found useful to your professional development and place it in your audit folder.