With the release of 18c and the Autonomous Database, 2018 has been an incredible year for the database.
So what's happening in 2019? We've gathered together our database predictions and in this article, we're sharing five.
Many routine database management tasks have already been automated in the last few years. In future years, traditional, on-premises databases will be competing against cloud-native deployments. And increasingly, those cloud-native deployments will be autonomous databases with hands-free database management.
So what does this mean?
Responsibilities will evolve to less involvement of the physical environment and the actual database, but more involvement with managing and making use of the data. As it gets simpler to manage data, data itself will become more valuable as it becomes easier to use. This will be an exciting time as careers advance and adjust to the changing landscape. You can already see that today, with the popularity of jobs such as data scientist and data engineer.
Big surprise, right? Or maybe not. Unfortunately, we hear the headlines about security breaches all the time. Threats to security will become more common as other players realize the value of data and how they can turn it to their own advantage. And when we say more common, we mean it. A recent Oracle Threat Report predicts the number of security events will increase 100-fold by 2025.
It’s simply no longer possible for humans to detect, correlate, analyze, and then address all threats in a timely manner. So what can IT professionals do about this? Many of them are turning to autonomous solutions. Autonomous monitoring and auditing can identify many issues and threats against the database. It can monitor cloud service settings, notify DBAs of changes, and prevent configuration drift by allowing IT pros to restore approved settings at any time.
When you have an Autonomous Database that uses machine learning to detect threats and stop them, it’s just easier to rely on the security experts at Oracle while you explore ways to extract more value from data to help drive better business outcomes.
Database reliability, availability, and performance have always been important and in 2019, they’ll continue to be so. Autonomous data management will take those capabilities to the next level. For example, the machine learning capabilities of Autonomous Database can automatically patch systems the moment vulnerabilities are discovered. Autonomous data management will improve uptime and also boost security.
This means that standards will get higher. In the past, we’ve sometimes been able to get away with blaming human error. But that excuse doesn’t really pass muster anymore when there’s an autonomous option.
However, even though software patches are applied automatically in the background and all actions are audited, DBAs will still have to monitor the unified audit trail logs and perform actions accordingly if necessary.
With data growth—well, we’ve all seen the countless charts and graphs detailing the explosion of data from social media and video and IoT and thousands of other sources that weren’t common even 10 years ago.
That size of data isn’t a major factor when considering the productivity of DBAs, but it does matter when you think about the number of instances and variety of database brands and versions.
This is something that increasingly, DBAs are going to have to think about—how will they manage all of this data in an efficient way? It’ll be a strong factor for moving to the cloud, because most cloud databases can be provisioned in 40 minutes or fewer, versus weeks using the old on-premises methods.
In today’s world, 95 percent of DBAs still manually create and update databases. But automated database provisioning is becoming more popular as it improves with each new iteration. With the performance-tuning dimension that Oracle Autonomous Data Warehouse already brings, and new automatic indexing features for the Autonomous Database, automated database provisioning will become even easier for DBAs.
As data grows and the need for data-driven analytics increases, DBAs will need to help businesses get data faster to meet business demands.
What do you see for data management in 2019, and what are you most excited about?
For us, it’s witnessing how machine learning combined with a modern, automated database is going to revolutionize the way we use data. 2018 has been a groundbreaking year for Oracle, and we’re looking forward to seeing more of the same in 2019.
If you want to try out the world’s most groundbreaking database technology, sign up for a free trial of Oracle Autonomous Database today or read the walkthrough of how Autonomous Data Warehouse works.
And to read through the other database management predictions with quotes from top DBAs, download the full ebook, “Database Management Predictions 2019.”