Apache Spark is a user-friendly open-source platform for large-scale data processing, analytics and for parallel-computing. Using Apache Spark and Python (PySpark), this workshop is aimed at analyzing data sets that are too large to be handled and processed by a single computer. With hands-on guided examples, the workshop covers the basics of Spark and Resilient Distributed Datasets (RDD) high-level architecture. The examples are mainly written in Python, hence the APIs covered are the ones available in PySpark, including Spark Core API (RDD API), Spark SQL, and Pandas on Spark. Participants will learn how to import data, use functions to transform, reduce and compile the data, and produce parallel algorithms that can run on Alliance clusters. Prerequisites: ACENET Basics or equivalent How to write functions in Python

Unlock the potential of your business technology with the Canada Digital Adoption Program and access up to $15,000 in funding. Plus, you can receive up to $100,000 interest-free and take advantage of a hiring grant! Don’t miss out on this incredible opportunity to boost your business and take it to the next level! Some of the questions they will address: – Who qualifies for a CDAP grant? – How do I access the funds? – Who will work on my digital adoption plan? – Can infomatix apply for funding on my behalf? – How long will it take to create my plan? – What will I get as part of my plan? – Can I use the funding to purchase new hardware, software and services? – Will infomatix help me implement my digital adoption plan? – Do you have any information on the funded work placement program? – I have several companies where I am an owner or director. Can I apply for multiple grants?

Join industry leaders Ursula Ayrout, Jordan Henderson, Betsy Sewell and Greg Poirier as they share their highs and lows from the past decade in Revenue Operations to set you up for success in 2023.

Are you interested in potentially cutting down the time and expenses required to earn a credential from Dalhousie University? Do you have valuable work and life experience that could be equal to what you’d learn in one of our courses? Join their RPL manager, Chris Fevens, on Wednesday, March 15 at 12:00 p.m. to discover how you can use prior learning from your work and volunteer experience, previous coursework, military training, etc. to get a head start on your academic and professional goals. This 45-minute webinar will cover: · What Recognition for Prior Learning is · What type of experience and knowledge can be assessed · How to apply · And most importantly, how it can work for you

We all know the advantages of a bar chart instead of a table full of numbers. The bigger your dataset, the greater the value of seeing it visually and being able to pinpoint both broad and specific critical areas for decisions. Scientific visualization of large datasets can be applied across a number of areas, including engineering, material science, sensor/drone data, geospatial, and life sciences. Join them at this session to learn about powering up innovation with supercomputing, and using scientific visualization to make better decisions. There are no prerequisites and no technical knowledge is needed. This session is aimed at mid to senior level managers with R&D technology responsibilities, and R&D engineering or scientific staff with no scientific visualization experience. The webinar is a precursor to the Interactive Data Analysis & Visualization with Paraview workshop below.

Crouching Admin, Hidden Hacker: Privileged Access & the Unnoticed Masters Part 2 Are there cyberattacks that are effective, reliable, and almost always work? Of course! Even when an organization’s infrastructure is well managed, patches are regularly installed, and the network is monitored – there are hackers that still find their way quietly in; be it via a misconfiguration, social engineering, or long-forgotten privileged account. There is always a hidden hacker waiting to strike! In this webinar with hacker, pen tester, Enterprise Security MVP and cybersecurity expert, Paula Januszkiewicz, learn: What are the biggest mistakes people make in multi-cloud and infrastructure security? Can moving to the Cloud help diminish the risk of a cyber breach? And how can you measure its effectiveness? How do hackers exploit misconfigurations to gain privileged access to accounts? How to protect against ransomware, malware, APTs, and even malicious insiders with a Zero Trust approach to security. Leave this webinar with world-class tips on how to attain the next level of security in your workplace…no crouching admin necessary.

Climate change is the single greatest challenge of our time. With Canada’s climate warming twice as fast as the global average, catastrophic events such as heat waves, wildfires and floods are costing billions and putting communities and people at risk. The steps needed to reduce climate risk require transition and adaptation plans which are already well underway. To avert the worst impacts of climate change, the Government of Canada has set an ambitious climate target of 40-45% emissions reductions by 2030 and is committed to achieving net-zero emissions by 2050. Public sector organizations in Canada and around the world are responding to sustainability challenges with digital and data solutions, AI, hybrid cloud, and ecosystem partnerships. But it’s not just about the data or the technology. It’s about being a catalyst for change, making the world better one community at a time. Join them as their sponsor IBM together with senior stakeholders from the federal government discuss what it will take to achieve net zero and how together we can make that happen (e.g. sustainable procurement; Canada’s Net Zero Challenge).

Scientific visualization of large datasets allows you to identify critical areas and vulnerabilities during the design process so that you can focus efforts, cut design time and create a better product. This workshop will introduce participants to scientific visualization on both a conceptual and practical level. Following an overview, the session will focus on teaching participants how to use the open-source Paraview visualization software on their own desktop. This will be followed by a demonstration on how open source Paraview can be used on a supercomputer for datasets that are too large for desktop or workstations. This is a beginner, hands-on workshop for R&D engineering or scientific staff with no scientific visualization experience.