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Oracle Introduces Exadata X8M


SAN FRANCISCO, September 17, 2019 -- Oracle Exadata Database Machine X8M, available today, sets a new bar and changes the dynamics of the database infrastructure market. Exadata X8M combines Intel Optane DC persistent memory and 100 gigabit remote direct memory access (RDMA) over Converged Ethernet (RoCE) to remove storage bottlenecks and dramatically increase performance for the most demanding workloads such as Online Transaction Processing (OLTP), analytics, IoT, fraud detection, and high frequency trading. "With Exadata X8M, we deliver in-memory performance with all the benefits of shared storage for both OLTP and analytics," said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. "Reducing response times by an order of magnitude using direct database access to shared persistent memory accelerates every OLTP application, and is a game changer for applications that need real-time access to large amounts of data such as fraud detection and personalized shopping." Exadata X8M helps customers perform existing tasks faster and accelerates time-to-insight, while also enabling deeper and more frequent analyses.

Oracle Database Performance Tuning


By the end of this course, You will be able to perform the following skills: Determine the bottlenecks in low-performance Oracle databases Propose solutions to database performance issues And implement Oracle methodology in performance tuning

AWS may finally be breaking up with Oracle


Amazon's cloud computing division AWS has announced that it has decided to utilize its own databases instead of Oracle's and the company has finally turned off its last Oracle database. AWS has managed to move 75 petabytes of internal data stored on almost 7,500 Oracle databases back to its own service. In a blog post, AWS's Jeff Barr explained that the database migration is now complete after several years of work, saying: "Today I would like to tell you about an internal database migration effort of this type that just wrapped up after several years of work. Over the years we realized that we were spending too much time managing and scaling thousands of legacy Oracle databases. Instead of focusing on high-value differentiated work, our database administrators (DBAs) spent a lot of time simply keeping the lights on while transaction rates climbed and the overall amount of stored data mounted. This included time spent dealing with complex & inefficient hardware provisioning, license management, and many other issues that are now best handled by modern, managed database services."

Software's Accelerating Data Needs May Benefit From Intel's High-Optane Push


For all of computing's advances the past few decades, one aspect that's remained fairly constant is the fundamental relationship among processors, memory chips, and storage, coupled with software designed to route data where it's most urgently needed. New memory technology that reached the market this year in response to big computing trends could upend this longstanding choreography among the components that shuttle information around the world's data centers. Many of today's business applications thrive on supersize datasets that need to be processed in near real time, which means even today's solid-state drives (SSD) require processors to wait too long for data in storage. At the same time, memory performance gains haven't kept up with those of either CPUs or storage. Simply packing servers with more memory can be expensive.

Oracle uses machine learning to boost Exadata X8 performance – Blocks and Files


Oracle has pushed out Exadata X8, the latest iteration of its engineered system optimised for the Oracle database. Unveiled today, the Oracle Exadata Database Machine X8 introduces machine-learning capabilities drawn from the Oracle Autonomous Database. These include Automatic Indexing, which continuously tunes the database as usage patterns change. The Exadata X8 also incorporates automated performance monitoring which can determine the root cause of issues without human intervention, according to Oracle. The company said the software does this using AI combined with real-world performance triaging experience and best practices.