SAY “HELLO!” WE’RE NICE DATA NERDS
Roundtable: Quality Enterprise Data in the Cloud as a Strategic Enabler of Growth
Presented by IT World Canada
The latest Canadian CIO Census reports almost 70 per cent of CIOs are actively engaged in migrating their organization to the cloud. Among the benefits being reported: better access to data; heightened security; improved time to market; increased employee productivity; and enhanced customer experience. It seems inevitable in the not too distant future cloud-based infrastructure will be the new normal.
One of the most promising opportunities in the cloud is “big data”. Business demand for analytic insights continues to grow, while AI and Machine Learning seem to be in every headline. All of these needs require quality data. Many companies first foray into the cloud was with a big data use case. Unfortunately, most of the results were mixed at best.
The enterprise need for data in the cloud is not going away. In fact, we believe it will intensify. We need to take stock of what worked and didn’t. What is different about a lake in the cloud vs warehouses in the past?
Share with our peers and learn from each other. And regroup to take another shot at this critical emerging area.
On September 26, join ITWC CIO Jim Love and Dave Johnston, Chief Product Officer of Next Pathway for another of ITWC’s CIO roundtables. These intimate and private discussions allow you to interact with peers, share experiences, and gain expert knowledge.
September 26, 2018
Fairmont Royal York
Webinar: Establishing an Atomic Data Warehouse in a Cloud-based Data Lake
Many companies are considering moving on-prem data lakes to the cloud, given the huge investments the major cloud vendors are making in big data capabilities. Cost of ownership of data becomes more affordable, scalability is greatly enhanced, and security concerns are a thing of the past. However, a big hurdle remains; how can organizations effectively replicate their on-prem reporting and consumption requirements in a cloud-based data lake? Establishing an Atomic Data Warehouse (ADW) is a great solution. An ADW represents the enterprise-wide repository that keeps track of atomic data for analytical purposes.
This webinar will focus on how to quickly establish an ADW in the Cloud. We’ll cover:
October 10, 2018
Webinar: Lessons Learned Migrating from Netezza
This webinar will outline some of the best practices to consider when planning your Netezza to Cloud migration, including:
October 31, 2018
Webinar: Lessons Learned Migrating SQL to the Cloud
Migrating to the cloud can be tough. First, companies have to migrate the huge amount of data residing on complex on-premise systems. However, in addition to the data, SQL queries, application code and stored procedures need to be re-written or translated to successfully run in the cloud environment. This is typically the most challenging part of any cloud migration initiative, and often, the last hurdle companies face with going cloud-first.
This webinar will focus on the challenges and solutions of migrating SQL to the Cloud. Including:
Webinar: Migrating EDW Data to the Cloud
In cooperation with Google Cloud
Migrating legacy data from traditional enterprise data warehouses (EDW) to modern Cloud-based Data Lakes is essential to conduct AI and Analytics on Big Data.
However, most companies are burdened with the manual effort involved in the migration of their data and code – which is time consuming, costly and fraught with quality issues; not to mention the lack of technical skill to get it done.
At this session, you will learn about modern tools to automate the migration effort – making it easier, cheaper and faster to move data to the Cloud.
You will learn:
Webinar: Data-as-a-Service - Preparing Date for AI and Analytics
Working with enterprise clients, specifically in the financial services and insurance industry, there is an affinity to leverage new-age analytics, BI, AI and Machine Learning technologies for the betterment of their business.
Specifically, these tools are great at helping achieve priority business objectives, including compliance reports (such as NCUA reporting requirements), Fraud, Customer 360, and Marketing Optimization. Either way, the goal is to use the data, and these tools, to help prepare a better member experience.
However, there is a need to get enterprise data clean, standardized, and in a reusable format to feed these technologies. This is what “Data-as-a-Service” is all about; creating a platform and an environment where organizations can get data in a self-service reusable state to feed any use case.