Tag: data analytics

Feed: Planet big data. Author: Katrine Spirina. 23 July 2019Author Katrine SpirinaBusiness intelligence (BI) is a set of strategies and tools that companies can employ to handle the analysis of business data. The tools and solutions, especially custom-made ones, facilitate the work of experts in monitoring KPIs of business, analyzing fast-changing market realities and factors impacting performance. Business intelligence solutions are a trend that is here to empower business owners to make decisions based on rich data, not their gut instinct.AI Increases Analytics Literacy and Impacts Decision MakingCompanies effectively use BI apps to thrive and maintain leading positions against competitors ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Julie Polito; There’s no doubt–data is your competitive edge. How fast organizations can collect, process, and analyze data will determine who leads the market in the next five years.  But there’s a hitch. Traditional on-premises data warehouses, while still fine for some purposes, have their challenges within a modern data architecture. They just aren’t scalable enough or cost-effective to support the petabytes of data we generate. And that amount that will only increase with the Internet of Things and other new sources.  When it comes to data, the future of data analytics ... Read More

Feed: SAS Blogs. Author: Gastbeiträge. Mehr als ein Jahr ist seit dem Inkrafttreten der EU-Datenschutz-Grundverordnung (DSGVO) vergangen. Jetzt sind die ersten Abstrafungen erfolgt. Zeit für eine erste Bilanz: Wo stehen wir eigentlich beim Datenschutz? Wie wird die Gesetzeslage schon umgesetzt und welche Hürden gibt es immer noch? Mit diesen Fragen hat sich Arnd Böken, Rechtsanwalt und Notar der Wirtschaftskanzlei GvW Graf von Westphalen, auseinandergesetzt. Datenschutz fährt seine Stacheln aus - DSGVO und wo es 2019 piksen kann Kein Hype mehr, aber ernstzunehmendes Thema 2018 war die DSGVO in aller Munde. Unternehmen haben noch in den Tagen vor Inkrafttreten letzte Schritte ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Max Ved. We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale. So let it be, a fairy tale of a smart farm. First of all, what is a smart farm? Smart Farming is a concept of farming management using modern Information and Communication Technologies to increase the quantity and quality of products. Among the technologies available for present-day farmers ... Read More

Feed: Microsoft Azure Blog. Author: Jamal Mohammed. This post was co-authored by Shubha Vijayasarathy, Program Manager, Azure Messaging (Event Hubs) With billions of miles logged, MileIQ provides stress-free logging and accurate mileage reports for millions of drivers. Logging and reporting miles driven is a necessity for independent contractors to organizations with employees who need to drive for work. MileIQ automates mileage logging to create accurate records of miles driven, minimizing the effort and time needed with manual calculations. Real-time mileage tracking produces over a million location signal events per hour, requiring fast and resilient event processing that scales. MileIQ leverages ... Read More

Feed: Microsoft Azure Blog. Author: Stephen Wu. Cloud data lakes solve a foundational problem for big data analytics—providing secure, scalable storage for data that traditionally lives in separate data silos. Data lakes were designed from the start to break down data barriers and jump start big data analytics efforts. However, a final “silo busting” frontier remained, enabling multiple data access methods for all data—structured, semi-structured, and unstructured—that lives in the data lake. Providing multiple data access points to shared data sets allow tools and data applications to interact with the data in their most natural way. Additionally, this allows your ... Read More

Feed: SAS Blogs. Author: Matteo Landro. Building a predictive model is generally not the end of the project. Indeed, there is a major difference between building a model and actually getting it ready for people to use in their products and services. Even if the purpose of the model is to increase knowledge of the data, you will need to organise and present the knowledge in a way that the customer can use it. In other words, you need to deploy your model. There seems to be a common problem in moving machine learning from science to production. Companies struggle ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: -; Data transformation provider to draw data and technology engineering professionals across Northwest England for networking and industry discussion Denver, Colo. and Manchester, England – July 18, 2019 – Matillion, the leading provider of data transformation software for cloud data warehouses (CDWs), will host a keynote by Dr. Venkat Subramaniam, an award-winning author and founder of Agile Developer, Inc. on July 24 at the Science and Industry Museum in Manchester. The event is an opportunity for technology professionals across Liverpool and Manchester to hear Dr. Subramaniam’s story, expertise and best practices, and ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . With this month comes the first feature release from our announcements at Microsoft Business Application Summit, Icon sets, which also addresses our current #1 idea on ideas.powerbi.com. On top of this major update, we have incremental improvements for many of our existing features, such as a counts experience for the Key influencers visual and RLS support for aggregations. To round this out, we are also making several key features, the new filter pane and aggregations, generally available. The observant will notice that, if you’re not using the Microsoft Store ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Phil de Valence. By Phil de Valence, Solutions Architect for Legacy Modernization at AWSMany companies or institutions still possess legacy non-x86 systems in their datacenters: mainframe, midrange, or UNIX proprietary systems. Migrating these workloads across hardware architectures to the Amazon Web Services (AWS) Cloud requires advanced software technology. Short-term migration approaches mainly use hardware emulation, middleware emulation, automated refactoring, or middleware replatforming. This post highlights short-term migration options, their key technical differences, as well as their differentiated benefits. These options are particularly suited for custom home-grown applications running on a legacy platform where ... Read More