One of most commonly used architectures for in a database as a service (DBaaS)  cloud is virtualizing database. In this architecture, all the Oracle databases are running on virtual machines. To provide a database service, virtual machines with database preconfigured are dynamically provisioned. This session will discuss the two most commonly used virtualization methods: Oracle VM and VMware.

This session provides 360–degree insight into Exadata performance. Learn how to identify and remediate common performance problems across your entire Exadata system, correlate Exadata-specific metrics in a single pane of glass, rapidly troubleshoot problems using Exadata logs, and analyze resource usage in order to gain insight into consumption patterns and utilization. Purpose-built machine learning provides…

Security acts always against performance. On many occasions the necessity to limit access to data is paramount regardless of the cost. One of the methods to enforce data confidentiality it is to encrypt data - either by application means or by using Oracle Advanced Security Option. In this presentation I would like to shed some…

The only group of Oracle specialists that continues to stay outside of the cloud hype are server-side developers. Everybody else (from CFOs to DBAs) are frantically trying to figure out what is happening and how to survive in the rapidly changing environment. Nevertheless, developers still hope that either their DBAs are good enough or their CFOs are charitable enough to make the system work. They are wrong – both in the technical and in the political/corporate sense!

Politically, developers are missing tectonic shifts: (1) hardware resources are no longer static and (2) expense model is “pay-per-use”. Previously, as long as your current servers were surviving the workload, no one cared whether they were 50% or 70% utilized. Now, this difference can be immediately converted to real money because the resource elasticity means that you can give it back. As a result, the total quality of the code base (+performance tuning efforts) has a direct impact on cost. This presentation will share some of the corresponding best practices:

Code instrumentation – to solve any performance problem you first need to detect it! You can place markers yourself or by using DBMS_APPLICATION_INFO, but this task must be done.
Profiling – even if you can detect a performance problem, you need to find its exact location.  The Hierarchical Profiler is your best friend in that search.
Code management – proper versioning helps to ensure that new fixes don’t introduce new problems. Edition-based redefinition (EBR) could streamline such efforts. 

Technically, the shift is a bit more subtle. For years, the whole industry “knew” that for any large system the most limited resource was I/O bandwidth. In reality, that was mostly due to the fact that CPU resources were over-allocated (Black Friday!). In the cloud, you cannot afford such over-allocation all the time. Don't forget that the introduction of solid-state drives decreased storage latency. Together, these two factors caused cloud-based systems to suddenly become CPU-bound! Fortunately, you can do a lot with your code to make it less expensive:

Avoid context switches between SQL and PL/SQL - using PRAGMA UDF or WITH-clause can help a lot. 
Don’t reinvent the wheel – There are some very powerful SQL features (for example: analytical functions, PIVOT/UNPIVOT) that are often ignored by the majority of developers.
Don’t do things multiple times - various caching techniques can help reuse what’s already known.
Collections in-memory processing are still the fastest way of calculating anything. Wide usage of SET operations decreases the number of context switches as well.

Overall, it is possible to make your system cloud-friendly, but doing so takes explicit efforts and serious thinking. This presentation will help you by utilizing real-world examples based on years of experience.

This talk is all about how an Oracle DBA has been using the Python programming language in his work and why Python might be a good language for other DBAs to use. There are hundreds of programming and scripting languages. Why Python? Also, database administrators are not full time programmers. Should they learn a programming…

Machine learning gets a lot of attention, but behind the buzz and futuristic ideas, there’s some very powerful technology you can use today. Whether you are a business leader or an IT expert, you can find out in this session what the fuss is all about. You’ll learn about the different kinds of ML techniques,…

By 2020, sources state that for every second each human being on the planet will create an average of 1.7Mb of data and IP traffic will reach 511Tb, which is the equivalent of 142 million people streaming Internet high-definition video simultaneously, all day, every day.  With a 1/3 of that data expected to be in…

Not that long ago it was so simple: if you were a developer who wanted to work with an Oracle development tool, you used Oracle Forms. Period. End of story. Now, and this is particularly true in the past couple of years, the number of Oracle development tools has grown to the point where it…

Oracle Applications and their infrastructure are at the heart of your business. These application environments are built on a mix of hardware, services, business-specific code, and infrastructure. In this session learn how Oracle Management Cloud enables you to see across the entire application environment from end user to database and get the information you need…

Database Security is important to understand and implement for data protection from insider and external threats. The cloud is another environment to make sure that the data is secure in the cloud and in transit. There are options and products available in the Oracle Cloud that can be utilized and DBAs and Security Professionals should…