Applying ideas and findings from Oracle OpenWorld 2018 in real lifePublished on: Author: Hasso Schaap Category: Oracle
Oracle has fully embraced the digital era. Sometimes it seems like there is nothing left but working with digital apps, data first while using smart algorithms. This also means everyone has access to the same information at the same time, all because of the internet.
So what did I learn this year at the Oracle OpenWorld conference? Is there anything new on the horizon? A game changer? Yes, there is. In this post, I will talk about 3 topics.
1. Autonomous is the future
Currently, Autonomous is just a category within the Oracle portfolio of services. When I asked about Autonomous I often heard: “We don’t call it Autonomous anymore”. Seriously? Already? What’s up with that?
The Autonomous services are a step up from managed services. Today, customers want more fine-grained control over tiny details like they were used to in the on-premises products era. They also want better service for their managed services. So we get to choose, whichever is needed, between service simplicity and service configuration by the customer.
Data and Analytics
Database and BI both had, on and off, Oracle managed or customer managed services, whichever was the premium service at that time. Database was released as a Schema, Pluggable Database (Exadata Express) as managed service and Database Cloud as customer managed. Now, we have the Autonomous Database category. BI Cloud was released as the first managed BI service and superseded by Analytics Cloud. Today, we also have Autonomous Analytics Cloud.
The switching between releasing Oracle or customer managed services is not ideal for customer choice and directions. It is confusing. On the other hand, it takes time to create the ideal service that is a managed service, but also has the fine grained control customers want.
If customers want to adjust patching timelines, security measures or configuration and customization settings, they will choose customer managed services.
Looking ahead we see that previous announcements for services have been renamed and partially introduced in other products. For example, Data Flow ML. Data Flow has now become a generic term that we can expect to be commonly used in both Data Integration and Data Visualization. This is similar to how we position Data Preparation; it can be a fully self-service business or governed IT function.
This trend will continue. We will see more and more web based UI’s for features that existed in desktop or commandline tools, and we will get many more low-code or no-code solutions for any of us to use. This so-called bi-modal IT trend is not over yet. With Cloud services, vendors need to supply BOTH the user experience AND the APIs for developers. Oracle’s strength is in supplying both governance and a growing list of business applications that include features from developer tools.
During a session (within Oracle) with 5 live demos for each of the previously mentioned trends, Amit Zavery introduced the most important things to keep in mind when starting your journey into the era of digital business. These trends are:
- Immersive Experiences
- Digital Assistants
- AI and Data Science
- Trusted Transactions
- Visual Development
Now, it’s easy to give examples but that would limit you, the reader, in imagining what these trends actually mean for you. For me personally, it means I will just have more and better tools to visually develop immersive digital and analytical experiences. This can be accomplished by mashing up several services.
Examples for business users
Looking at data only, we have huge changes ahead. From an architecture’s perspective, it is time to transition to data-driven and data democratization solutions. Not always, and not only, but the business does need to be gradually served with the following:
- Data Catalog
- Data Visualization (and analytics)
- Data Flows (and pipelines)
In the meantime we can set up our complete Data Platform or Information Management architecture in the Oracle Cloud. Some can even start using the Autonomous services. I guess we will see a mix of both.
2. Data Lake and Data Warehouse
For some reason I feel the urge to mention these two terms. Unlike what many people think, Data Lake and Data Warehouse are not just about a single service. They both need to be built, not bought. Nowadays we expect any digital business to be very careful with their data, but we also expect to enable IT and business to re-use data right where it is.
If you feel a Datawarehouse is your thing, you will probably not use Autonomous Datawarehouse standalone; you will integrate it with your existing systems. The same goes for your Data Lake. It’s not only Big Data (HDFS or Object Storage), it’s also about integration.
The thing with Autonomous (or managed) services is that they are good at one thing. What is missing is an Autonomous Data Platform service that organizes, stores, secures, processes, analyses, and presents your data automagically for you. So there is still much work ahead.
The final topic deals with Integration. Oracle always markets the Cloud as Complete, Open and Integrated. Well, that’s partly true. You can create an integrated experience, but you would have to Build the Data Lake, Connect, Prepare, Model, Integrate, and Model your Datawarehouse, and so on.
If you are looking to embed analytics on data from several cloud and/or on-premises services, you really do need to do all of the above. Because the meaning of raw data from cloud and on-premises services needs to be aligned.
At Qualogy we are seeing a growth in demand for Oracle Cloud services and ways to transition existing business to a data-driven business. Get in touch for more details, because there are too many usecases to mention in a single blogpost—or even a series of blogposts.
Let us know if you have questions, for instance on how to transition or what detailed steps you should take. We are looking forward to hearing your story, and share ours.