Category: Big Data

Feed: Blue Medora. Author: Mike Kelly. This article originally appeared on InfoWorld Enterprises are embracing cloud platforms, often having more than one provider to best suit the given application. But how to monitor across this hybrid environment? Most IT professionals would agree that cloud computing is more about a paradigm than a physical displacement of computing resources. The “utility” paradigm is transformational by virtue of on-demand, elastic resources. But unlike being stuck with just a single local cable provider, the range of choice in cloud computing options also provides selectivity and customization best suited for the delivery of individual applications ... Read More

Feed: Planet big data. Author: David Smith. Does the language we speak change the way we think? This TED talk by Lera Boroditsky looks at how language structures like gendered nouns, or the way directions are described, might shape they way speakers of those languages think about things: This talk was cited by Bill Venables in his excellent keynote talk at the useR!2018 conference, where he also presented the results of an elegant designed experiment that looked at the influence of gendered nouns by comparing languages without gendered nouns (like Hungarian) with those that have multiple genders for nouns like ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Saumitra Buragohain. We’re excited to announce the long-awaited release of Hortonworks Data Platform 3.0.0. HDP 3.0 is faster, smarter, hybrid, bigger, trusted and real-time database. We encourage you to read our blog that announced HDP 3.0. You can also view our keynote presentation from DataWorks Summit, where we demoed an autonomous car (1/10 scale), trained with HDP 3.0 technologies. We also want to thank  our current and prospective customers and partners for signing up for the HDP 3.0 Early Access and we are encouraged by the huge interest- now, you can use the HDP ... Read More

Feed: Tractica. Author: Clint Wheelock. We are pleased to share the news that Tractica has joined Informa, a leading global information services company focused on business intelligence, academic publishing, knowledge and events. Headquartered in London and a member of the FTSE 100, Informa maintains a presence in more than 30 countries worldwide and we at Tractica are excited to join an expanded team of more than 11,000 colleagues as we continue to provide in-depth market research and analysis in rapidly-evolving emerging technology sectors. With this combination, the entire Tractica team will remain on board and will continue our focus on ... Read More

Feed: AWS Big Data Blog. Exploratory data analysis of genomic datasets using ADAM and Mango with Apache Spark on Amazon EMRAs the cost of genomic sequencing has rapidly decreased, the amount of publicly available genomic data has soared over the past couple of years. New cohorts and studies have produced massive datasets consisting of over 100,000 individuals. Simultaneously, these datasets have been processed to extract genetic variation across populations, producing mass amounts of variation data for each cohort. In this era of big data, tools like Apache Spark have provided a user-friendly platform for batch processing of large datasets. However, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. By Julien Phalip, Solutions Architect Instance metadata is a powerful feature in Google Cloud Platform’s Compute Engine. Each Compute Engine instance comes with several metadata values that are set by default to provide useful information like the machine type, SSH keys, service accounts, tags, zones, and more. Cloud Dataproc also sets special metadata values for the instances that run in its clusters, for example: Metadata key Description dataproc-bucket Name of the cluster’s staging bucket dataproc-region Region of the cluster’s endpoint dataproc-worker-count Number ... Read More

Feed: Cloudera Manager – Cloudera Engineering Blog. Author: Cy Jervis. Cloudera Director 2.6 and Cloudera Manager 5.13 offer a simple way to have TLS configured for Cloudera Manager and CDH clusters. In this blog post, Bill Havanki describes how to use the new feature and offers technical details behind how the automatic configuration happens. An important tenet of information security is defense in depth. The idea behind defense in depth is to have multiple layers of security protecting valued assets, so that if one layer should fail, the others remain working. A real life example of defense in depth is ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: doreen-dunn; Overview In this episode of Making Data Simple, Ember Crooks, Db2 Lead DBA and Delivery Manager at Xtivia, IBM Champion and IBM Gold Consultant, sits down to talk about her experience in the data science field. She shares her industry expertise, career goals, and tips for those looking to venture into the world of data science. Show Notes: 00:25 Connect with Al Martin on Twitter and LinkedIn. 00:55 Connect with Ember Crooks on LinkedIn, Twitter, and on her blog. 01:06 Learn more on what it takes to become a DBA here. 02:09 ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Baiju NT. We are stepping into an avant-garde period, powered by advances in robotics, the adoption of smart home appliances, intelligent retail stores, self-driving car technology etc. Machine leaning is at the forefront of all these new-age technological advancements. The development of automated machines which have the capability match up to or maybe even surpass the human intelligence in the coming time. Machine learning is undoubtedly the next ‘big’ thing. And, it is believed that most of the future technologies will be hooked on to it. Why is machine ... Read More

Feed: Tractica. Author: Aditya Kaul. China is accelerating its investment in artificial intelligence (AI) and has an ambitious plan to have its core AI industry output increase to RMB 150 billion (US$22 billion) by 2020, a ten-fold increase in a 3-year time period. That amount is expected to grow to RMB 450 billion (US$66 billion) by 2025. Core AI technology refers to areas of research like deep learning, core AI technologies, the development of basic software and hardware, such as chips and sensors, and applied research in areas like computer vision and cybersecurity. Hardware is a key component of China’s ... Read More