Tag: streaming

Feed: Microsoft Azure Blog. Author: Chandrika Shankarnarayan. Today we’re pleased to announce two key capabilities that Azure Time Series Insights will be delivering later this year: A cost-effective long-term storage that enables a cloud-based solution to trend years’ worth of time series data pivoted on devices/tags.  A device-based (also known industry-wide as “tag-based”) user experience backed by a time series model to contextualize raw time series data with device metadata and domain hierarchies. Additionally, Time Series Insights will be integrating with advanced machine learning and analytics tools like Spark and Jupyter notebooks to help customers tackle time series data challenges ... Read More

Feed: Planet MySQL; Author: InsideMySQL.com; Dear MySQL users, MySQL Connector/ODBC 8.0.11 is the first GA version of the MySQL Connector/ODBC 8.0 series, the ODBC driver for the MySQL database management system. The available downloads include both a Unicode driver and an ANSI driver based on the same modern codebase. Please select the driver type you need based on the type of your application – Unicode or ANSI. Server-side prepared statements are enabled by default. It is suitable for use with any MySQL server version from 5.5. This release of the MySQL ODBC driver is conforming to the ODBC 3.8 specification ... Read More

Feed: SAS Blogs. Author: Thomas Keil. Zur Person: Dr. Volker Stümpflen verantwortet als Leiter Data Strategy & Operations bei der Mediengruppe RTL vor allem den Auf- und Ausbau der Data-Science-Aktivitäten sowie die Realisierung und Monetarisierung speziell analysierter Datenmodelle mit Fokus auf Nutzerverhalten und Nutzerbedürfnisse. Er verfügt über große Erfahrungen mit der Vernetzung großer Datenbanksysteme und Applikationen, basierend auf seiner früheren Tätigkeit als Director Data Science mit Schwerpunkt datengetriebenes Risikomanagement im Finanzanlagebereich. Zu seinen weiteren Stationen gehörte die langjährige Leitung der Gruppe Biologische Informationssysteme am Helmholtz-Zentrum in München mit Schwerpunkt auf semantischen Big-Data-Systemen in der Biomedizin. Zudem war er Gründer und ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. Welcome to Azure.Source #27! Last week in Azure, we made quite a few announcements about updates to Azure Stream Analytics, which you'll find captured below. In addition, Microsoft was at the 2018 NAB Show in Las Vegas, which provided an opportunity to reflect on how far Azure's media services have come over the past year and the exciting future that lays ahead. For more information on that, see the Events section below. Now in preview Public preview: Integration of Stream Analytics with Azure Monitor - To improve the self-service troubleshooting experience, integration of ... Read More

Feed: Hazelcast Blog. Author: Can Gencer. We are happy to announce the release of Hazelcast Jet 0.6! This version brings many new improvements which I will try to squeeze into this blog post. Improved streaming support for Pipeline API With 0.5, Jet introduced a new high-level API for Jet, called Pipelines which offered a convenient way to do distributed data processing using a powerful and expressive DSL. With 0.6, this API is now overhauled and extended to support a more complete set of features, including full streaming support with windowing. Previously, stateful streaming operations such as windowing was only possible ... Read More

Feed: Hazelcast Blog. Author: David Brimley. 2018 In-Memory Data Grids resurgent IMDG (In-Memory Data Grids) have been around for well over a decade now and sit in a product sector that slightly overlaps NoSQL functionality. IMDGs initially came to the market in the early nougties when web sessions needed to scale past one sticky web-server, these were the days of what was then known as Tangosol Coherence. Since then the main use case for IMDGs has become general in memory caching and compute, where the IMDG sits between a slower persistent store like an RDBMS/Mainframe (or even a NoSQL Database) ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Matt Spillar. Early last year we announced the Hortonworks Data Heroes initiative. It’s our way of recognizing the Data Visionaries, Data Scientists, and Data Architects transforming their businesses and organizations through Big Data. Hortonworks has over 1,300 total customers spanning every industry, each with a unique Big Data journey. Our Data Heroes program lets us highlight a few customers who are helping create radical change in their industries. WHO ARE THE DATA HEROES? A Data Visionary:  who recognizes the potential of Big Data to transform their organization, and leads the business to turn that vision into reality. Winners will show ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Michael Lin. For things that are dearest, most important and valuable to us, we come up with ways to protect them. Insurance policies, laws, to even safe deposit boxes and the hiring of security guards are all means to safeguard whatever deemed precious to us. The introduction of General Data Protection Regulation (GDPR) protects valuable personal information of all individuals within the European Union, as the power of data is beyond imagination in present time. A timely case in point is the recent turmoil at Facebook. The data of more than 50 million Facebook users ... Read More

Feed: Planet MySQL; Author: Yelp Engineering; Since Yelp introduced its real-time streaming data infrastructure, “Data Pipeline”, it has grown in scope and matured vastly. It now supports some of Yelp’s most critical business requirements in its mission to connect people with great local businesses. Today, it has expanded into a diverse ecosystem of connectors sourcing data from Kafka and MySQL, and sinking data into Cassandra, Elasticsearch, Kafka, MySQL, Redshift, and S3. To ensure that the whole ecosystem is functioning correctly, Yelp’s Data Pipeline infrastructure is continually growing its repertoire of reliability techniques such as write-ahead logging, two-phase commit, fuzz testing, ... Read More

Feed: Google Cloud Platform Blog. Author: GCP Team. By Brian Granatir, SmartCloud Engineering Team Lead, Smart Parking Part 2  In this article, we’re going to explore how to build an event-driven architecture on serverless services to solve a complex, real-world problem. In this case, we’re building a smart city platform. An overview of the domain can be found in part one. If you haven’t read part one, please go take a look now. Initial reviews are in, and critics are saying “this may be the most brilliantly composed look at modern software development; where’s dinner?” (please note: in this case ... Read More