Tag: IOT

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. Since the launch of the AWS Canada (Central) Region in December 2016, many organizations have begun using AWS to transform Canadian healthcare infrastructure and services. The entities use AWS to help lower the cost of IT services, provide more focus on patients, improve data security and compliance, improve healthcare clinician and staff productivity, and begin resolving major health problems impacting the general population.From data center migration to machine learning, healthcare authorities, hospitals, and service providers have been focused on the following key trends: Data residency within Canada: Customers can run their ... Read More

Feed: The Connector by Workato. Author: Tridivesh Sarangi; In the last several years, the cloud revolution has transformed the way that businesses operate and the tools that they use. From CRMs to data storage, it seems that today almost everything is cloud-based. Broadly speaking, businesses commonly use several service models for cloud computing: Infrastructure as a Service (IaaS), which is used for managing storage, virtualization, CDN, networking, and computing. Platform as a Service (PaaS), which is used for managing application platforms, databases, integrations, and development. Software as a Service (SaaS), which is used for managing business apps for CRM, security, ... Read More

Feed: Microsoft Azure Blog. Author: Ashish Thapliyal. Fast Interactive BI, data security and end user adoption are three critical challenges for successful big data analytics implementations. Without right architecture and tools, many big data and analytics projects fail to catch on with common BI users and enterprise security architects. In this blog we will discuss architectural approaches that will help you architect big data solution for fast interactive queries, simplified security model and improved user adoption with BI users. Traditional approach to fast interactive BI Deep analytical queries processed on Hadoop systems have traditionally been slow. MapReduce jobs or hive ... Read More

Feed: Planet PostgreSQL. In my previous post we looked at various partitioning techniques in PostgreSQL for efficient IoT data management. We do understand that the basic objective behind time based partitions is to achieve better performance, especially in IoT environments, where active data is usually the most recent data. New data is usually append only and it can grow pretty quickly depending on the frequency of the data points. Some might argue on why to have multiple write nodes (as would be inherently needed in a BDR cluster) when a single node can effectively handle incoming IoT data utilizing features ... Read More

Feed: Microsoft Azure Blog. Author: Ashish Thapliyal. The HDInsight team is excited to announce Apache Zeppelin Support for Apache Phoenix Phoenix in Azure HDInsight Apache Phoenix is an open source, massively parallel relational database layer built on HBase. Phoenix allows you to use SQL like queries over HBase. Phoenix uses JDBC drivers underneath to enable users to create, delete, alter SQL tables, indexes, views and sequences, upset rows individually and in bulk. Phoenix uses NOSQL native compilation rather than using MapReduce to compile queries, enabling the creation of low-latency applications on top of HBase. Apache Phoenix enables OLTP and operational ... Read More

Feed: Microsoft Azure Blog. Author: Nicole Berdy. Lots of folks are moving to X.509 certificate-based authentication as they start to use the Azure IoT Hub Device Provisioning Service, which is great! But I've gotten lots of questions about what the best practices are, and how to go about doing it at scale. There are a lot of variables that influence where certs come from and how they are installed, and who owns each stage depends on the specific processes and business relationships in place. This blog post is meant to provide some clarity around the cert generation and installation process ... Read More

Feed: All - O'Reilly Media. Author: Rohit Jain. Compass (source: Pixabay) Check out the "Data Engineering & Architecture" sessions at the Strata Data Conference in New York, September 11-13, 2018. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. As in other areas of engineering, standardization allows practitioners to port their learnings across a multitude of solutions, and to more easily employ different technologies together; standardization also allows solution providers to take advantage of sub-components to expeditiously build more compelling solutions with broader applicability. Unfortunately, little has been ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp and display() framework.   On the visualization level, PixieDust uses Bokeh support for efficient data source update to plot streaming ... Read More

Feed: Microsoft Azure Blog. Author: Justin Slade. With a compound annual growth rate of 28.5 percent forecasted by 2020, the global Internet of Things (IoT) market is exploding, and the technology behind IoT continues to evolve at a feverish pace. Here at Microsoft, we’re working hard to secure, simplify, and democratize IoT so that every customer can transform business, and the world at large, with connected solutions. This is why Microsoft has committed $5 billion to IoT over the next four years. While IoT offers companies across industries a wealth of powerful benefits, the reality of implementation poses serious considerations such ... Read More

Feed: SAS Blogs. Author: Emanuela Sferco. Twelve years ago, in 2006, Time magazine made an interesting move in deciding on its “Person of the Year.” Instead of one of the many eminent scientists, world leaders, or stars of stage and screen who had influenced the world that year, Time chose to recognise a social phenomenon. It referenced the rise of Web 2.0, with its huge volume of user-generated content, including blogs, social media, reviews of products and sites such as Wikipedia. ‘You. Yes, you.’ Time, in fact, designated the Person of the Year as “you.” The cover of the magazine ... Read More