Tag: Kafka

Feed: Hortonworks Blog – Hortonworks. Author: Simon Ball. With the increases in data volumes, explosion in number of devices and sophistication of attackers, current cybersecurity tools are challenged processing the millions of events and providing insights fast enough. Cybersecurity teams spend hours analyzing threat events by going from one tool to the next.  We are pleased to announce the general availability of Hortonworks Cybersecurity Package (HCP) that provides a single pane of glass view into threat events across your entire landscape. The package offers full Hortonworks support for the Apache Metron project, which is an open source cyber security platform ... Read More

Feed: Microsoft Azure Blog. Author: Bhanu Prakash. Azure HDInsight is the only fully-managed cloud Hadoop & Spark offering that gives you optimized open-source analytic clusters for Spark, Hive, MapReduce, HBase, Storm, Kafka, and Microsoft R Server backed by a 99.9% SLA. You can deploy these big data technologies and ISV applications as managed clusters with enterprise-level security and monitoring. Given the broad scope of open source technologies on big data, we have received many requests for a detailed guide around HDInsight. This post outlines the key areas covered by the guide and also outlines some other options for learning on ... Read More

Feed: All - O'Reilly Media. Author: Lu Niu, Peng Du, Zhenxiao Luo. Uber’s Presto architecture (source: Courtesy of Zhenxiao Luo) For more on efficient geospatial analysis, check out Zhenxiao Luo and Wei Yan’s session, “Geospatial big data analysis at Uber,” at the Strata NYC Data Conference in NYC, September 25-28, 2017. From determining the most convenient rider pickup points to predicting the fastest routes, Uber aims to use data-driven analytics to create seamless trip experiences. Within engineering, analytics inform decision-making processes across the board. One of the distinct challenges for Uber is analyzing geospatial big data. City locations, trips, and ... Read More

Feed: Planet MySQL; Author: Continuent; On Sunday I will travel over to Dublin for Percona Live 2017. I have two sessions, a keynote on the Wednesday morning where I’ll be talking about all the fun new stuff we have planned at Continuent and some new directions we’re working on. I also have a more detailed session on our new appliers for Kafka, Elasticsearch and Cassandra, that’s Tuesday morning. If you haven’t already booked to come along, feel free to use the discount code SeeMeSpeakPLE17 which will get you 15% off! Share this:Like this:Like Loading ... Read More

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: MapD Team. Twitter is an excellent way to gain insight into a wide variety of social phenomena. Data can be sliced in many different ways, looking at user, geography or topic/hashtag as well as diving down to the level of individual tweets. In fact, MapD originated when Todd Mostak needed to build a better interactive analysis tool to understand the Arab Spring. Streaming data from Twitter was added later. MapD recently released an open source Tweetmap Demo online showing roughly 390 million tweets. The code is ... Read More

Feed: All - O'Reilly Media. Author: Maliha Balala. Highway (source: Pixabay) This past June, a driverless truck passed a 200-mile test drive from Yuma, Arizona, to San Diego, California—a milestone for autonomous trucking in the U.S. This feat was achieved by the company TuSimple, which trained its driving system using an AI technique known as deep learning to simulate tens of millions of miles of road driving. Deep learning can approach tasks that are easy for a person but hard for computers, such as: identifying people and objects in photos; detecting mood and intention in an image, text, or voice ... Read More

Feed: MemSQL Blog. Author: Nicole Nearhood. Join Conference in San Francisco brings together thousands of companies across the globe that build their businesses with Looker. The developers responsible for this revolution need a place to share their experiences on this journey. This year, Join will offer even more breakout sessions led by Looker subject matter experts and top customers. This informative mixture of lectures, demonstrations, and guest speakers is geared towards keeping attendees informed on technical content, customer stories, and new launch announcements. MemSQL is exhibiting in the Sponsor Expo, so stop by our kiosk #2 to view a demo ... Read More

Feed: MemSQL Blog. Author: Gary Orenstein. The Current Organizational Data Dilemma Today, many companies have years of investment in traditional databases from Oracle, SAP, IBM, Microsoft and others. Frequently these databases and data warehouses have long outlived their ability to cost-effectively perform and scale. These solutions also offer mixed options when it comes to cloud deployments. Over the past decade, data-driven organizations looked to new methods such as Hadoop and NoSQL to solve data challenges. Hadoop has proven to be a good place to store data, but a challenging place for production data workflows. Gartner noted at a recent conference ... Read More

Feed: MemSQL Blog. Author: Gary Orenstein. We are enchanted by the possibility of digital disruption. New computing approaches, from cloud to artificial intelligence and machine learning, promise new business models and untold efficiencies. We are closing the gap between science fiction and business operations. A Quick Look Back Let’s take a quick look back at data processing, and then come back to the industry frontier. It started with data and the place to put it, which became the database. Then came a desire to understand the data through analytics, and that spawned the introduction of data warehouses. Data warehouses are ... Read More

Feed: R-bloggers. Author: Matt Sanborn. Register now for ODSC West in San Francisco, November 2-4 and save 60% with code RB60 until September 1st. R continues to hold its own in the data science landscape thanks in no small part to its flexibility.  That flexibility allows R to integrate with some of the most popular data science tools available. Given R’s memory bounds, it’s no surprise that deep learning tools like Tensorflow are on that list. Comprehensive, intuitive, and well documented, Tensorflow has quickly become one of the most popular deep learning platforms and RStudio released a package to integrate ... Read More