Upcoming Events​

Lessons Learned Migrating from Netezza

Many companies today are considering the migration from a single vendor architecture for their EDW, and moving straight to the cloud. With the cloud comes advanced scalability, a more open and flexible architecture, and of course, lower cost of ownership for data. This includes legacy EDW technologies including Netezza, among many others. 
However, migrating your Netezza EDW to the cloud can be an arduous task, to say the least. The volumes of historical data that have accumulated over time make it difficult and time-consuming, but manually rewriting the SQL queries, application code and stored procedures specific to Netezza in cloud-native languages is another challenge. 

This webinar will outline some of the best practices to consider when planning your Netezza to Cloud migration, including:

  • data migration strategies
  • SQL translation and deployment
  • performance optimization
  • and end-to-end project planning

On-demand starting
October 31, 2018

Past Events

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:

  • Key things to consider when planning for migration
  • Strategies and patterns when translating SQL to cloud-native products
  • Performance optimization SQL queries for the cloud environment
  • and some real-life examples of successful migration


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:

  • Step-by-step process for a successful data migration project
  • How to automate the migration of code and workloads to the Cloud using Next Pathway’s translation engine, SHIFT™
  • Considerations for migrating data from EDWs to EDLs in the Cloud
  • Hear from Google on the benefits of establishing a Cloud-based Data Lake using the Google Cloud Platform
  • Do’s and Don’ts based on industry best practices and real use-case project experience

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.