Tag: innovation

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Monday, January 23, 2017 By Anthony Fox, Director of Data Science & System Architecture at CCRi, and Misha Brukman, Product Manager for Google Cloud Bigtable Google Cloud Bigtable, Google Cloud Dataproc and GeoMesa are the main components in this solution for global geospatial analytics Automatic Identification Systems (AISs) are used by ships and vessel-tracking services to provide real-time awareness of locations for safe navigation and routing and historical analysis, similar to what air-traffic ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Thursday, January 19, 2017 By Martin Görner, Google Cloud Platform Developer Advocate This 3-hour course (video + slides) offers developers a quick introduction to deep-learning fundamentals, with some TensorFlow thrown into the bargain. Deep learning (aka neural networks) is a popular approach to building machine-learning models that is capturing developer imagination. If you want to acquire deep-learning skills but lack the time, I feel your pain. In university, I had a math teacher ... Read More

Feed: Big Data Feed. Author: itsing. I am proud to say it has been an incredible year for MapR. The company continues to prosper; we delivered record year over year revenue growth, added many new customers to the MapR family, and continue to experience high levels of customer satisfaction and retention. We have developed significant new partnerships and added incredibly talented new employees. All of these successes have occurred on top of continued strong product innovation and new patents issued for our Converged Data Platform.Ultimately, the success of any company is directly tied to its ability to attract great customers, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Wednesday, January 18, 2017 By Reto Meier, Google Developer Advocate This rich dataset makes it easy to learn how to explore and visualize data using BigQuery. New York City is home to 8.5 million residents, and more than 50 million people visit this vibrant and dynamic city each year. With so many sights and sounds, it’s easy to get lost in the details, and lose sight of the big picture: How do New ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Tuesday, January 17, 2017 By Martin Görner and Robert Kubis, Google Cloud Developer Advocates With this new codelab and public data, discover what you can do with just a couple of lines of Java and Cloud Dataflow. The world is becoming more and more connected. Vast amounts of data are collected from sensors and systems to help with decision making in many areas. This data needs to be processed to extract analytical insights ... Read More

Feed: SAS BlogsRSS – SAS Blogs. Author: John Amrhein. I will begin with a short story. Like many employers, McDougall Scientific, my employer, requires its employees to review, with their co-workers and managers, what they learned at a conference or course. They are also asked to suggest applications of their learnings so that McDougall might realize value from the expense, both in time and money, of sending them to continuing education events. Fei Wang, my co-worker, and I attended SAS Global Forum last year in Vegas. During her presentation to co-workers upon our return, Fei not only provided a comprehensive ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Friday, January 13, 2017 By Jennifer Tollar, Certification Program Manager Register for this exam by February 15 for additional benefits, including a 40% discount. Today, we invite you to take the Google Data Engineer Certification exam (currently in beta). The Google Data Engineer Certification is designed to help you take your career to the next level. A Google certification gives you benchmarks for your professional development, to gauge your skill set against your peers and ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Thursday, January 12, 2017 By Ashwin Raghavachari, Software Engineer Intern & Jim McBeath, Software Engineer Cloud Dataproc makes it easy to use external libraries, such as OpenCV, for computation and data processing on extremely large datasets. Google Cloud Dataproc is a fast, easy-to-use and cost-effective managed Apache Spark and Apache Hadoop service. With Cloud Dataproc, you can easily process large datasets. However, to run an application that uses libraries not already installed on ... Read More

Feed: Database Trends and Applications : All Articles. The desire to compete on analytics is driving the adoption of new technologies such as NoSQL and Hadoop to store and process large volumes of data.These technologies offer important new capabilities. However, they also require new skills as they challenge many well-established conventions in data management.Meanwhile, enterprises use older legacy hardware such as relational databases and data warehouses. SQL and its widespread use is not changing anytime soon.To maximize the value of its analytics investments, enterprises need to incorporate big data into their enterprise data management strategies.Jamie Morgan, senior solutions architect at ... Read More

Feed: SAS BlogsRSS – SAS Blogs. Author: Caroline Hermon. I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional toolbox for data integration. For many customers, facilitating better analytics with data integration means building ever larger data warehouses. But this takes time – and ‘time is money.’ If it takes too long to get the required insights, business users will ... Read More