NoCOUG is “the little user group that could!” As you might imagine, it requires a vast amount of work to organize a full-day users group conference and publish a printed journal every quarter. No sooner has a conference ended and a journal mailed than it is time to start work on the next conference and the next journal. But the awesome NoCOUG volunteers have pulled it off—quarter after quarter—for 30 long years. The upcoming NoCOUG conference sponsored by Google Cloud Platform on Thursday, November 17 at PayPal Town Hall in San Jose will be its 120th quarterly conference! The theme is “A Bright and Cloudy Future for All Your Databases.” The advantages of the cloud are inescapable so buckle up and ride the wave. After the conference, join NoCOUG for its 30th anniversary celebration at Casino M8trix , Silicon Valley’s premier 24/7 entertainment destination. Can you hold a tune? If you win the karaoke competition, you will receive a life-time NoCOUG membership entitling you to attend all future NoCOUG quarterly conferences for free! This is one NoCOUG conference you simply don’t want to miss. Click here to register. Conference Abstracts Keynote: A Bright and Cloudy Future for All Your Databases—Dominic Preuss, Google Cloud Platform Thinking about moving your on-premise workloads to the public cloud? What are your choices? What things should you consider when making this decision? What are the pros and cons of this approach? What are your security guys going to say? Learn what we have seen over the last few years while moving large and small customers to the public cloud. Case Study: Moving Oracle Databases to the Google Cloud Platform—Dominic Preuss, Google Cloud Platform You have a directive to move your Oracle workloads. Now what? What do you need to know when moving Oracle to the public cloud? We present a case study on learning from a large Oracle customer (Google) moving to Google Cloud Platform. Technical Deep Dive: Exadata Cloud Service—Manish Shah, Oracle Corporation Oracle Database Exadata Cloud Service combines the renowned power of the Exadata database platform with the operational simplicity and pay-as-you-grow economics of the cloud. With Oracle Database Exadata Cloud Service, you can run your Oracle Databases in the Oracle Public Cloud with the same functionality, performance, and availability experienced by thousands of organizations deploying Exadata on-premises. This session provides a technical overview of Oracle Database Exadata Cloud Service along with best practices for efficiently deploying, managing, securing, and scaling Oracle Databases in the cloud. This session also covers innovative deployment models, such as bringing the power of an agile, cloud-based consumption model to your data center behind your firewall. Technical Deep Dive: Oracle MySQL Cloud Service—Sastry Vedantam, Oracle Corporation This session introduces a new platform-as-a-service offering: Oracle MySQL Cloud Service. MySQL is the world’s most popular open-source database and the #1 open-source database in the cloud. Oracle has engineered the proven MySQL Enterprise Edition together with Oracle Public Cloud to deliver a secure, cost-effective, and enterprise-grade MySQL database service. Join this deep-dive session to learn How self-service provisioning creates preconfigured MySQL databases optimized for performance, and how cloud tooling automates database instance lifecycle management How advanced security features, including MySQL Enterprise Firewall, authentication, and MySQL Enterprise Audit, protect your databases against external attacks and misuse of information while helping you achieve regulatory compliance How MySQL Enterprise Monitor and the MySQL Query Analyzer continuously monitor your databases A Next-Generation OLTP Database: Oracle TimesTen Velocity Scale Database—Douglas Hood, Oracle Corporation TimesTen Velocity Scale Database is a new product (previewed at OOW 2016 and currently in beta) that combines shared-nothing elastic scaling, high availability, ACID transactions, a SQL interface, and ease of use. The Velocity Scale database is targeted at applications that require high-velocity data and will be available on premise and in the cloud. It supports complex table joins, multi-statement transactions, and impressive performance compared to leading NoSQL systems. And it supports existing Oracle SQL APIs [JDBC, OCI, ODP.NET, ODBC, and PLSQL] as well as SQL Developer and Enterprise Manager. A Real-Time Operations DBMS: Aerospike—Brian Bulkowski, Aerospike In this session, we describe the solutions developed to address key technical challenges encountered while building a distributed database system that can smoothly handle demanding real-time workloads and provide a high level of fault tolerance. Specifically, we describe schemes for the efficient clustering and data partitioning for the automatic scale out of processing across multiple nodes and for optimizing the usage of CPUs, DRAM, SSDs, and networks to efficiently scale up performance on one node.The techniques described here are necessary to handle the needs of today’s interactive online services. Most real-time decision systems require a very high scale and need to make decisions within a strict SLA by reading from, and writing to, a database containing billions of data items at a rate of millions of operations per second with sub-millisecond latency. Over the past five years, this technology has been continuously used in over 100 successful production deployments, as many enterprises have discovered that it can substantially enhance their user experience. Technical Deep Dive: Oracle RAC Private Network—Paresh Patel, PayPal When running Oracle RAC at this web scale, it is must have a performant private network (aka cluster interconnect) to ensure that data/messages flow between nodes with ultra-low latency. This session will help you understand the core concepts of private networks, how to configure redundancy for HA, performance metrics to track for capacity analysis, and the evolution of hardware and software used in private networks. This presentation takes a look at some of the practical examples of how tracking and monitoring critical metrics from the OS and the database help you eliminate some of the issues even before they appear. Further, we will discuss RAC-related wait events and dynamic views used in monitoring and troubleshooting. Automated Patching: Pivot from Manual to Scalable with Oracle Enterprise Manager LifeCycle Management Pack—Ashwin Vaidya, PayPal Are your skilled DBAs spending time installing software and applying patches instead of growing your business? Come to this session to learn how PayPal moved from manual execution of homegrown scripts for RAC installs and patching to leveraging the power of Oracle Enterprise Manager LifeCycle Management Pack. RAC provisioning moved from days to an hour per node, with improved build consistency and quality. Security and reliability patching scaled to deliver patches across the enterprise faster and more consistently than ever before. The presentation will include best practices for implementing provisioning and also discuss our experience with both patching plans and the new Fleet Maintenance feature available in OEM 12.1.0.5 and 13 c . Community Showcase: Abstract for Database Engineering and Operations at Yahoo—Ashwin Nellore, Yahoo At Yahoo, we have a massive number of databases supporting products like News, Finance, Sports, and Advertising products. This talk will focus on how we choose to deploy infrastructure, support database operations, and resolve performance issues. We will showcase some of our homegrown solutions to manage our environment, including the challenges that we’re currently working on. Demystifying Data Warehousing as a Service: Top 10 Cool Features in Snowflake—Kent Graziano, Snowflake Computing We all know that data warehouses and best practices for them are changing dramatically today. As organizations build new data warehouses and modernize established ones, they’re turning to Data Warehousing as a Service (DWaaS) in hopes of taking advantage of the performance, concurrency, simplicity, and lower cost of a SaaS solution—or simply to reduce their data center footprint (and the maintenance that goes with it). But what is a DWaaS really? How is it different from traditional on-premises data warehousing? In this talk we will: Demystify DWaaS by defining it and its goals Discuss the real-world benefits of DWaaS Discuss some of the coolest features in a DWaaS solution as exemplified by the Snowflake Elastic Data Warehouse. The Little Engine That Could Once upon a time a little freight car loaded with coal stood on the track in a coal-yard. The little freight car waited for an engine to pull it up the hill and over the hill and down the hill on the other side. Over the hill in the valley people needed the coal on the little freight car to keep them warm. By and by a great big engine came along, the smokestack puffing smoke and the bell ringing, “Ding! Ding! Ding!” “Oh, stop! Please stop, big engine!” said the little freight car. “Pull me up the hill and over the hill and down the hill, to the people in the valley on the other side.” But the big engine said, “I can’t, I’m too busy.” And away it went—Choo! Choo! Choo! Choo! The little freight car waited again a long time till a smaller engine came puffing by. “Oh, stop! dear engine, please stop!” said the little freight car. But the engine puffed a big puff and said. “I can’t, you’re too heavy.” Then away it went, too—Choo! Choo! Choo! “Oh, dear!” said the little freight car, “what shall I do? The people in the valley on the other side will be so cold without any coal.” After a long time a little pony engine came along, puffing just as hard as a little engine could. “Oh, stop! dear engine, please stop and take me up the hill and over the hill and down the hill, to the people on the other side,” said the patient little freight car. The pony engine stopped right away and said, “You’re very heavy and I’m not very big, but I think I can. I’ll try. Hitch on!” All the way up the hill the pony engine kept saying, “I think I can, I think I can, I think I can. I think I can!” quite fast at first. Then the hill was steeper and the pony engine had to pull harder and go slower, but all the time it kept saying: “I think-I-can! I-think-I-can!” till it reached the very top with a long puff—“Sh-s-s-s-s!” It was easy to go down the hill on the other side. Away went the happy little pony engine saying very fast, “I thought I could! I thought I could! I thought I could! I thought I could.” Don’t forget the lesson, boys and girls. Think you can. Neverthink you can’t.
↧