Tag: storage

Feed: AWS Partner Network (APN) Blog. Author: Kate Miller. In 2016, we hosted 38 guest posts from AWS Partner Solutions Architects (SAs), who work very closely with both Consulting and Technology Partners as they build solutions on AWS. As we kick off 2017, I want to take a look back at all of the fantastic content created by our SAs. A few key themes emerged throughout SA content in 2016, including a focus on building SaaS on AWS, DevOps and how to take advantage of particular AWS DevOps Competency Partner tools on AWS, Healthcare and Life Sciences, Networking, and AWS Quick Starts.Partner ... Read More

Feed: Database Trends and Applications : All Articles. Dell Boomi is releasing an enhanced version of its integration Platform as a Service (iPaaS) to help organizations rapidly and cost-effectively integrate data across applications in hybrid IT environments.The latest release enables Boomi customers to build a connected business at scale through new features to increase user productivity, speed up implementation, and provide unparalleled control of integrations.“This brings together over 200 plus new and enhanced features that span the different offerings that we have as part of the Boomi platform,” said Brett Stineman, head of product marketing at Dell Boomi.In this release, ... Read More

Feed: Planet MySQL. Author: Preetam Jinka. Backgroundlm2 is my ordered key-value storage library. You can read my post about it here. There’s a lot to say about this little library, so this will be the first of a few posts about how lm2 works and why I chose to do things a certain way. Caching lm2 is essentially a linked list on disk. Everyone knows linked lists aren’t very fast. Searches take a ridiculously long time and require a lot of seeking. That’s why lm2 has a record cache, which stores a subset of the key-value records in memory. This ... Read More

Feed: Database Trends and Applications : All Articles. With the rise of Hadoop, organizations are adopting the new platform to extend their analytical capabilities. However, despite the availability of the open source framework that supports the processing and storage of large datasets, data analysts still struggle to find and harness all types of data across the enterprise.Enterprises remain dominated by antiquated approaches to hand-coding, and code generation fails to automate labor-intensive manual processes or discover relationships between datasets. This can ultimately leave data inconsistent, incomplete, and stale for analytical use.As a result, organizations are now adopting data lake management innovations ... Read More

Feed: Database Trends and Applications : All Articles. As enterprises accelerate their movement of data into the cloud, a slew of new challenges are presenting themselves on the security front. For users of external or public cloud services, the risks are well understood. However, private and hybrid clouds are not immune to security vulnerabilities either. Thanks to private clouds, data is proliferating across various parts of the enterprise, along with the potential for insider abuse.There is a need to balance security with the openness and access of cloud computing, whether it’s public, private, or hybrid. These issues were explored in ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. We hope you have had a chance to catch up on the security and compute services announced at re:Invent. Next up, we have the re:Invent updates on storage and ingestion that will benefit our public sector customers.AWS Snowball Edge – Petabyte-scale Data Transfer with On-Board Compute AWS Snowball Edge is our newest 100TB data transfer device, offering highly secure, on-board storage and in-flight compute capabilities with AWS Greengrass. Organizations can use AWS Snowball Edge to move massive amounts of data into and out of the AWS Cloud, use the device as ... Read More

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Todd Mostak. 2016 was a pretty amazing year for MapD. Not only did we launch our company with the announcement of our A Round of funding in late March, but we were able to steadily build on that event throughout the year, culminating in the release of our 2.0 version of the product just nine months later. In the interim, we were fortunate to pick up some prestigious awards including Gartner Cool Vendor, Fast Company Innovation by Design, The Business Intelligence Group’s Startup of the Year, ... Read More

Feed: Planet MySQL. Author: MySQL Performance Blog. Barrett Chambers  | November 14, 2016 |  Posted In: MongoDB, MySQL PREVIOUS POST This blog post looks at MongoDB and MySQL, and covers high-level MongoDB strengths, weaknesses, features, and uses from the perspective of an SQL user. Delving into NoSQL coming from an exclusively SQL background can seem like a daunting task. I have worked with SQL in both small MySQL environments and large Oracle SQL environments.  When is it a good choice? MongoDB is an incredibly robust, scalable, and operator-friendly database solution. MongoDB is a good choice when your developers will also be responsible for ... Read More

Feed: AWS Compute Blog. Author: Stefano Buliani. This is a guest post from Linda Hedges, Principal SA, High Performance Computing.—–One question we often hear is, “How well will my application scale on AWS?” For high performance computing (HPC) workloads that cross multiple nodes, the cluster network is at the heart of scalability concerns. AWS uses advanced Ethernet networking technology, which, like all things AWS, is designed for scale, security, high availability, and low cost. This network is exceptional and continues to benefit from Amazon’s rapid pace of development. Again and again, customers find that the most demanding applications run very ... Read More

Feed: Planet PostgreSQL. It’s a common misconception that high volume read-write workloads in PostgreSQL inevitably causes database inefficiency. We’ve heard of cases where users encounter slowdowns doing only a few hundred writes per second and turn to systems like Dynamo or Cassandra out of frustration. However PostgreSQL can handle these workloads without a problem as long as it is configured correctly. The problems stem from what’s known as “bloat,” a phenomenon of PostgreSQL and other MVCC databases which causes increased space usage and decreased performance. We’ll see how autovacuum, a tool to combat bloat, is typically misunderstood and misconfigured. By ... Read More