Tag: Database & Technology

Oracle’s new autonomous database service, the Oracle Autonomous Data Warehouse Cloud, deploys, optimizes, patches and secures itself, all without human assistance. This automation allows for greater performance and efficiencies and is what Larry Ellison, Oracle co-founder, executive chairman, and chief technology officer is calling one of “the most important things” Oracle has done.  

This article, part three of a three-part series, explores Exadata storage maintenance.
Managing an Exadata Server is a great way to jump from being a normal DBA to great DMA (Database Machine Administrator), and get into the nitty-gritty details of storage administration. This tip will share some Exadata Storage maintenance jobs, how to manage them and at which logs to look.

In part three of this three-part series, learn about sharding in Oracle Database 12c Release 2 - the architecture and components, deployment, and management of the sharding configuration.

As the complexities of Oracle solutions continue to grow, providing IT environments a simplified way to automate key processes of software delivery and changes within IT infrastructure is of utmost importance. With the use of containers, system administrators, database administrators, and software developers can take advantage of delivering Oracle databases and their closely tied applications…

Proper design of an application includes security plans, which ensure that specific data is available only to specific user groups. Application design should also include security plans for guarding against data or application tampering. These two aspects can easily be set aside while developers are caught up in the process of developing PL/SQL code to…

Big Data is growing exponentially, requiring massive-scale infrastructure however, business analytics has shifted from reactive to proactive analysis; this is the era of streaming data (a.k.a. Fast Data). Apache Hadoop is very good for analyzing data at rest but cannot handle streaming data. Big Data analytics needs new Big data frameworks. Apache Spark brings in-memory processing and…

This talk covers a real-world solution, that recreates database links using ORDS, REST and JSON. It breaks the limits of database links by loosely coupling two databases. The complexity is completely hidden from users and developers. Modern technologies such as REST and JSON offer elegant ways to couple databases without fixed dependencies. The protocol http(s)…

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…

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…