Scaling multiple databases with a single legacy storage system works well from a cost perspective, but workload conflicts and hardware contention make these solutions an unattractive choice for anything but low-performance applications.
Attend the webinar to learn about:
- How SolidFire’s all-flash storage system provides high performance at massive scale for mixed workload processing while simultaneously controlling costs and guaranteeing performance
- How to deploy four or more database copies using SolidFire’s Oracle Validated Configuration, at a price point at or below the cost of traditional storage systems
- SolidFire’s Quality of Service (QoS) guarantee; every copy receives dedicated all-flash performance, so IT admins can deliver solutions with confidence and maximize business efficiency
Part 1: 60 Seconds to Infiltrate, Months to Discover
According to leading industry reports, 98% of breached data originates from unsecured database servers and nearly half are compromised in less than a minute! Almost all victims are not aware of a breach until a third party notifies them and nearly all breaches could have been avoided through the use of basic controls. Join (ISC)2 and Oracle on January 31, 2013 for Part 1 of our next Security Briefings series that will focus on database security and the detective, preventive, and administrative controls that can be put in place to mitigate the risk to your databases. There's no turning back the clock on stolen data, but you can put in place controls to ensure your organization won't be the next headline.
Protecting the valuable and confidential information stored within databases is vital for maintaining the integrity and reputation of organizations everywhere—not to mention ensuring regulatory compliance. However, many organizations still rely on security solutions with inherent limitations. Given the complexities of today’s database platforms and the sophistication of today’s cybercriminals, deploying a comprehensive and dedicated database security solution is a must. Here are five reasons why.
Join this in-depth discussion on enterprise database security and learn how to (1) Overcome inherent limitations of perimeter security and DBMS security features (2) Circumvent major costs and operation challenges in taking your 'reactive' database security to an optimized practice and (3) establish real-time protection and continous compliance with ZERO downtime.
Today, businesses leverage confidential and mission critical data that is often stored in traditional, relational databases or more modern, big data platforms. Understanding the key threats to database security and how attackers use vulnerabilities to gain access to your sensitive information is critical to deterring a database attack.
Join this webinar to learn about the latest threats and how to remediate them.
Inside or outside, which is better? You know that embedding analytics in databases offer several benefits including security, performance, and enabling users to take advantage of the analytics more readily. But how do you do it?
In this installment of our embedded analytics series we discuss embedding analytics using stored external procedures – an option provided by all major commercial RDBMS providers. These procedures are invoked in the same manner as internal stored SQL procedures but they run in a process space separate from that of the database itself. This separation can be advantageous in certain scenarios. In particular, if a data set is selected for analysis that pushes the limits of physical memory then the database is isolated from any issues that arise in running the analytics on this problematic data.
In this webinar, you will see detailed steps on how to implement the analytics as a shared library using IMSL Libraries for C for illustration.
If you missed part one of the series, watch the recording here: https://www.brighttalk.com/webcast/12285/164525
IT organizations face many challenges when trying to apply patches due to the complexity and scale of their environment. In addition, IT teams are required to apply patches within a limited time frame from the release date to be considered compliant which can pose additional IT challenges. HP Database and Middleware out-of-box workflows are specially designed to simplify the patching process to Oracle and Microsoft SQL.
Register for this session and learn how to simplify the effort of applying patches while staying compliant.
When it comes to your database environments, do you have some applications that go "whole hog" on data and consume all your resources -- while other applications are starving? You are not alone. IT Managers choose Tegile flash storage solutions so they can easily drive multiple applications and multiple workloads -- and make sure no workload goes hungry.
We will examine how to accelerate transactional workloads running on an Oracle DB, while reducing IO wait times.
We will look at how organizations implement Quality of Service (QOS) standards to ensure that one application does not end up consuming all the available resources.
We will share how to architect a storage infrastructure that delivers effective data protection without impacting business performance.
Join us for this live webinar hosted by database experts.
Although it may sound like an oxymoron, the key to scaling a MySQL platform truly lies in consolidation of the physical storage layer. Whether you are running a dozen or a thousand MySQL instances, SolidFire provides a pathway to horizontally scale the storage layer, enabling capital and operational cost reductions, while virtually eliminating maintenance and replica deployment windows.
Attend the Webinar to Learn
- How SolidFire can guarantee storage performance, dynamically adjust storage resources on the fly, and linearly and non-disruptively scale your MySQL database storage infrastructure.
- How you can reduce deployment times for MySQL replication slaves and reporting copies from hours to seconds.
Join us in the discussion on the benefits of consolidating MySQL workloads on the storage industry’s only all-flash, scale-out, QoS-enabled storage system. With SolidFire you can provision, manage and clone production, reporting, dev/test and QA environments safely, all on the same array.
Join us for this next segment of “Under the Hood” that focuses on the database designer feature of HPE Vertica.
Learn how the schema designs created by Database Designer provide optimal query performance for your most challenging analytic workloads. Database Designer uses smart strategies to create efficient schema designs that can be deployed, changed and re-deployed by almost anyone, even those without advanced database knowledge.
Data thieves are opportunistic, looking for unprotected databases in the forgotten digital corners of your company. They are content to steal any data that lies within easy reach.
Large companies are especially vulnerable. With hundreds or even thousands of databases spread throughout business units and across multiple geographies, it is only a matter of time until your unprotected data is accessed and stolen.
Fortunately, it doesn’t have to be complicated, tedious or expensive to protect all of your sensitive data with a database monitoring solution. The right database monitoring solution can also provide visibility into data usage and simplify compliance audits.
Join us for this webinar to learn:
•Benefits of database monitoring over native audit tools
•Factors to consider before investing in database audit and protection
•3 specific ways to leverage database monitoring for improved security
Reduce costs for storage and licensing, run a database per developer through a self-service portal, QA new code at light speed and speed up your whole organization. Bart Sjerps shows you what it can do for any business that depends on databases.Read more >
While databases are an essential part of any application, database changes and updates are often handled in separate, manual workflows, creating greater chance for error and delays in the continuous delivery pipeline.
With CA Release Automation and DBmaestro you can now easily orchestrate a comprehensive continuous delivery toolchain from development through production while seamlessly automating database changes directly within your application deployment workflow. With DBmaestro’s new Action Pack for CA Release Automation, you can:
•Eliminate error prone manual scripting for database changes
•Detect configuration drift visibility and conflicts
•Package, verify, deploy and promote database changes
Join Yaniv Yehuda, Co-founder and CTO DBmaestro, and Tim Mueting, Product Marketing Manager at CA Technologies, to learn how this exciting new integration with CA Release Automation helps you speed delivery and provide new levels of governance and tracking for your continuous delivery pipeline.
Learn how to reduce latency and improve performance in your database environment without expensive hardware rip and replace.
Regardless of your industry, chances are that databases form the core of your profitability. Whether online transaction processing systems, Big Data analytics systems, or reporting systems, databases manage your most important information – the kind of data that directly supports decisions and provides immediate feedback on business actions and results. The performance of databases has a direct bearing on the profitability of your organization, and these days, with 70 percent of respondents to one recent survey stating that IT must justify its budget by demonstrating real contributions to the bottom line, smart IT planners are always looking for ways to improve the performance of databases and the apps that use them.
Many in the industry are pitching expensive flash storage peripherals to reduce latency and drive performance in database operations, but what is really needed is improvement across the I/O path – cost-effective improvements to infrastructure that will yield measurable gains not only in database processing, but also in the extract-transform-load workflows that define overall performance efficiency.
Join us as industry analyst, Jon Toigo provides an overview of a strategy you can use to reduce latency and improve database performance without breaking the bank.
Learn how to super-charge high-performance database applications while slicing hardware costs.
High performance databases are at the heart of many extreme transaction processing to Big Data to Engineering and research to emerging Internet of Things applications. A common thread is the requirement for very fast database access combined with very large databases. Addressing these requirements in the past required expensive and complex data storage strategies. Storage virtualization, Parallel I/O and intelligent caching can address these requirements at a much lower cost.
Join us as industry analyst, Dan Kusnetzky provides some insight on the following:
• Why are high-performance databases required?
• Why does that lead to an expensive storage infrastructure?
• What new technology can provide the needed performance at a lower cost?
This session will cover a series of use cases where you can store your data cheaply in files and analyze the data with Apache Spark, as well as use cases where you want to store your data into a different data source to access with Spark DataFrames. Here’s an example outline of some of the topics that will be covered in the talk:
Use cases to store in file systems to use with Apache Spark:
1. Analyzing a large set of data files.
2. Doing ETL of a large amount of data.
3. Applying Machine Learning & Data Science to a large dataset.
4. Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally.
Use cases to store your data into databases for use with Apache Spark:
1. Random access, frequent inserts, and updates of rows of SQL tables. Databases have better performance for these use cases.
2. Supporting Incremental updates of Databases into Spark. It’s not performant to update your Spark SQL tables backed by files. Instead, you can use message queues and Spark Streaming or doing an incremental select to make sure your Spark SQL tables stay up to date with your production databases.
3. External Reporting with many concurrent requests. While Spark’s ability to cache your file data in memory will allow you to get back to fast interactive querying, that may not optimal for supporting many concurrent requests. It’s better to use Spark to ETL your data to summary tables or some other format into a traditional database to serve your reports if you have many concurrent users to support.
4. Searching content. A Spark job can certainly be written to filter or search for any content in files that you’d like. ElasticSearch is a specialized engine designed to return search results quicker.