Tag: scaling

Feed: All Oracle Press Releases. Oracle today marked a major milestone in the company’s autonomous strategy with the availability of Oracle Autonomous Linux. Oracle Autonomous Linux, along with the new Oracle OS Management Service, is the first and only autonomous operating environment that eliminates complexity and human error to deliver unprecedented cost savings, security, and availability for customers. Keeping systems patched and secure is one of the biggest ongoing challenges faced by IT today. Tasks can be tedious and error prone, and extremely difficult to manage in large-scale cloud environments. With Oracle Autonomous Linux, customers can rely on autonomous capabilities ... Read More

Author: joeleslie. A demonstration of Scale-out, Continuous Availability, and Visual MonitoringRUNNING SQL TRANSACTIONS AT SCALE AND WITH CONTINUOUS AVAILABILITY In a blog post earlier this year I outlined how to deploy the NuoDB database in Docker containers. To follow up on that, let's put NuoDB to the test. Your mileage will vary based on the available compute and disk storage used, but our Community Edition on a single host will demonstrate NuoDB's OLTP performance capabilities. If you’d like a full demonstration or want to conduct your own proof of concept test in your environment using our Enterprise Edition, just contact us.  For ... Read More

Author: . A demonstration of Scale-out, Continuous Availability, and Visual MonitoringRUNNING SQL TRANSACTIONS AT SCALE AND WITH CONTINUOUS AVAILABILITY In a blog post earlier this year I outlined how to deploy the NuoDB database in Docker containers. To follow up on that, let's put NuoDB to the test. Your mileage will vary based on the available compute and disk storage used, but our Community Edition on a single host will demonstrate NuoDB's OLTP performance capabilities. If you’d like a full demonstration or want to conduct your own proof of concept test in your environment using our Enterprise Edition, just contact us.  For ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . SQL Server Integration Services (SSIS) was first made available well over a decade ago as part of the release of SQL Server 2005, replacing Data Transformation Services, which had been integrated into the product since SQL Server 7.0. This enduring pedigree has been interrupted by the introduction of Azure SQL Database, which, unlike its on-premises counterparts, restricted its capabilities to those implemented directly by the database engine. Unfortunately this meant that existing SSIS packages could not be used to perform extraction, transformation, and loading (ETL) tasks by relying on computing and storage ... Read More

Feed: Big Data Made Simple. Author: Roy Castleman. In the last decade, the landscape of the business world has changed perhaps more than any other time in history. Startups are required to keep up with every new trend in marketing and technology just to stay in the game, while also looking to drive the innovation that will lead to growth and set them apart from the rest. A high proportion of startups do not succeed, so finding the right formula and competitive edge is essential to survival. CRM is one of the many new acronym buzz phrases that has grown ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Sebastian Estevez. Yesterday at ApacheCon, our very own Patrick McFadin announced the public preview of an open source tool that enables developers to run their AWS DynamoDB™ workloads on Apache Cassandra. With the DataStax Proxy for DynamoDB and Cassandra, developers can run DynamoDB workloads outside of AWS (including on premises, in other clouds, and in hybrid configurations). The Big Picture The cloud has changed computing forever, and as cloud services continue to evolve up the stack, the new capabilities they offer developers come with trade-offs. One of the trade-offs developers, architects, and ... Read More

Feed: Radar. Author: Mac Slocum. Attend the Strata Data Conference in New York, September 23-26 to learn how ML, AI, and data are converging. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network ... Read More

Feed: Radar. Author: Mac Slocum. Editor's note: Welcome to the first O’Reilly Radar column. We plan to use this column to cover topics related to the themes that have our attention these days: AI/ML; Next Economy and Future of the Firm; Next Architecture; and tech-driven innovation and disruption. We’ll also venture outside of O’Reilly’s core focus on technology practitioners to include how technology fits into the modern economy, and offer the kind of information that can provide guidance and confidence to technology leaders facing this brave new world. The Radar team uses a combination of input from our wide-ranging social ... Read More

Feed: Radar. Author: Mac Slocum. Both quantitatively and qualitatively, the Radar team has uncovered a growing wave of change in software development and architectural trends. Organizations are increasingly choosing the combination of cloud, containers, and orchestration to implement microservices as their directional architecture. The need to support business processes and customer expectations—and to have flexibility, adaptability, and scaling for new projects and for migrating legacy systems—has organizations embracing the interrelated technologies and approaches we call Next Architecture. In this report, we cover background, technology and business drivers, and key components that define the Next Architecture concept. Every company has a ... Read More

Author: bbulanov. While many enterprises are now ready to embrace cloud computing, they’ve struggled to move highly transactional systems of record to the cloud. For enterprises in regulated sectors such as banking and other financial services, there’s been a real challenge as they look for ways to move mission-critical OLTP SQL databases — and the applications that rely on them — to the cloud. Historically, relational SQL databases required single-server architectures, which made scaling with fluctuating demands both expensive and inefficient. At the same time, scarcity of main memory led to storage-centric design approaches, in turn resulting in a less ... Read More