Tag: Architecture

Feed: AWS Partner Network (APN) Blog. Author: Saurabh Shrivastava. By Thooyavan Arumugam, Senior Cloud Architect at Tech MahindraBy Saurabh Shrivastava, Partner Solutions Architect at AWSBy Vivek Raju, Manager, Partner Solutions Architect at AWSIBM Maximo is an Enterprise Asset Management (EAM) solution that helps organizations manage their assets, track operations, and perform preventive maintenance using predictive analysis and enterprise-ready features. Maximo can be deployed in an on-premises environment, as well as on a public cloud or hybrid cloud environment. As cloud computing is becoming the industry norm, Amazon Web Services (AWS) provides Infrastructure as a Service (IaaS) solutions and a broad ... Read More

Feed: AWS Architecture Blog. As a 35-year-old company with an international customer base, Intuit is widely known as the maker of Quick Books and Turbo Tax, among other software products. Its 50 million customers can access its global contact centers not just for password resets and feature explanations, but for detailed tax interpretation and advice. As you can imagine, this presents a challenge of scale.Recently, Bill Schuller, Intuit’s Contact Center Domain Architect, met with AWS’s Simon Elisha to discuss how Intuit manages its customer contact centers with AWS Connect. Using Amazon Connect, a self-service, cloud-based contact center service, Intuit has ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before in-memory technologies, transactional data was managed as a batch process and analyzed every hour, once a day, etc., depending on the data involved, the bank’s policies for handling data, regulatory and compliance requirements, and so on. While having ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Chelsea Navo, Vanguard Lead, Presales Architecture. Retail may not be the first thing that comes to mind when you think about technological innovation, but think about how much eCommerce has transformed the way we buy things just over the last five years, much of it thanks to the use of powerful databases.  We now have a seemingly infinite amount of choice with thousands of online retailers and a mind-blowing array of options just a click away. As such, it comes as no surprise that eCommerce sales grew 15% in 2018 and the ... Read More

Feed: The Connector by Workato. Author: Kristine Colosimo; This is a guest post by Fab Capodicasa, Managing Director of Hoosh Marketing. When choosing a marketing automation platform (MAP), how are you comparing your options? Are you looking at features and functions?Are you comparing brand vs. brand? Are you making a decision based on user reviews?In other words, are you buying a MAP the same way you would buy a car? The car analogy for MAPs is still a popular one. While it made sense 10 years ago, we’ve since entered the Golden Age of MarTech. Today, your MAP is just ... Read More

Feed: Big Data Made Simple. Author: Stephanie Donahole. The world seems to be fueling a dystopian view of what artificial intelligence (AI) can do. However, no machine can ever be imbued with the intelligence of a human; they slavishly follow indefinite program conditions which have already been laid down by a smart programmer. With the increase in technology advancments, Gartner foresees a shift. From stand-alone intelligent things to a collaborative swarm network of AI systems.It shouldn’t come to any surprise that workspaces all across the globe are being reshaped. By disruptive technology day in day out. Moreover, they have the ... Read More

Feed: Cloud – Cloudera Engineering Blog. Author: Shelby Khan. Fig 1 – Architecture Introduction Many of Cloudera’s customers set up Cloudera Manager to collect their clusters’ diagnostic data on a regular schedule and automatically send that data to Cloudera. Cloudera analyzes this data, identifies potential problems in the customer’s environment, and alerts customers, requiring fewer back-and-forths with our customers when they file a support case and provides Cloudera with critical information to improve future versions of all of Cloudera’s software. If Cloudera discovers a serious issue, Cloudera searches this diagnostic data and proactively notifies Cloudera customers who might encounter problems ... Read More

Feed: Microsoft Azure Blog. Author: Mark Russinovich. Reliance on cloud services continues to grow for industries, organizations, and people around the world. So now more than ever it is important that you can trust that the cloud solutions you rely on are secure, compliant with global standards and local regulations, keep data private and protected, and are fundamentally reliable. At Microsoft, we are committed to providing a trusted set of cloud services, giving you the confidence to unlock the potential of the cloud. Over the past 12 months, Azure has operated core compute services at 99.995 percent average uptime across ... Read More

Feed: Neo4j Graph Database Platform. Author: Allison Wu. By Joe Depeau, Senior Pre-Sales Consultant, Neo4j | July 16, 2019Reading time: 1 minute Many players in the financial services industry already rely on Neo4j’s graph database.For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library.In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that data, and discuss the use cases those graphs enable and support.Use cases presented include anti-money laundering as well as ... Read More

Feed: Planet MySQL; Author: Jean-François Gagné; This is a follow-up post in the MySQL Master Replication Crash Safety series.  In the previous posts, we explored the consequences of reducing durability on masters (different data inconsistencies after an OS crash depending on replication type) and the performance boost associated with this configuration (benchmark results done on Google Cloud Platform / GCP).  The consequences are summarised in the introduction of Part #4, and the tests are the subject of this last post.  Also in this last post, I mentioned that my results for high durability are limited by the sync latencies of GCP ... Read More