How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problem; Xplenty does that as well.
There’s a common misconception that as soon as a business signs up for a solution from a cloud service provider (CSP), that the CSP will automatically ensure all their dealings in that cloud environment are safe and secure. As dedicated as Cloud Service Providers are to cybersecurity, that’s simply not possible. Your cloud provider has no control over the customer data you share, the aptitude of your employees, or how you optimize your own on-premises security and firewalls.
For many businesses in 2020, the increased use of cloud providers and online services has been essential to keeping the lights on in virtual environments. This has prompted companies to overcome the inertia and red tape surrounding SaaS, PaaS and other “aaS” products.
Synchronous and asynchronous, also known as sync and async, are two types of programming models. At an abstract level, programming models define how software is designed and executed. The basic programming models are synchronous, but asynchronous models are critical for performance reasons and to more efficiently use computing resources. Programming languages usually have built-in primitives to deal with asynchronous programming.
As you may or may not know, Atlassian is accelerating their journey to Cloud. This has some important implications to anyone who uses Atlassian Server based products, including apps. Read on to learn how we support customers of Zephyr for Jira and Zephyr Scale as they transition to Cloud. As of February 2, 2021, Atlassian customers can no longer purchase or request a quote for new Server licenses. Existing customers can continue purchase Server apps on Marketplace until February 2, 2023.
Information security has become headline news on a daily basis. You have probably heard of security risks ranging from malicious bots used in schemes both big and small, to all-out "software supply chain attacks" that involve large-name enterprises and their customers, and that ultimately affect numerous governments, organizations, and people.
Companies these days are handling more data than ever: an average of 163 terabytes (163,000 gigabytes), according to a survey by IDG. Efficiently storing, processing and analyzing this data is essential in order to glean valuable insights and make informed business decisions. Yet the question remains: What is the best way to store enterprise data? For many use cases, the most appealing choice is a relational database.
What is multi-cloud data analytics and why are so many companies getting on board? Cloud computing itself is now a well-established best practice, but a multi-cloud strategy is nearly as common these days. While 94 percent of organizations are now using cloud computing, 84 percent are using a multi-cloud data strategy. Multi-cloud is an especially fruitful data strategy for companies pursuing data analytics.
AWS Solution Architects are in red-hot demand, and the AWS Certification is the highest-paying certification in the United States. As such, you wear many hats as a Solution Architect for Amazon Web Services. You're a problem-solver, a creative genius, a multitasker, and a big-picture thinker. And you design AWS implementations better than anyone else you know. But there are some things about being an AWS Solution Architect that aren't so rosy. Amazon's ever-changing recommendations.
