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Request a Workshop
We’re not talking about your standard “lift and shift” strategy; we want your migration to succeed!
We’ve put together a free, 3-hour workshop where we work with you to define what constitutes a successful migration plan (in cloud or on-prem) for your business.
Building a reliable data lake with the goal of being the single source of truth for an enterprise has historically been a significant challenge. Whether defeated by technology, people, process or all three, first generation data lakes have most often not met the expectations of the stakeholders involved. We’ve put together a free, 3-hour workshop where we work with you to define what constitutes a successful migration plan (in cloud or on-prem) for your business.
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.
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:
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:
Data-as-a-Service - Preparing Data 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.