Following part one of our Big Data in Security series on TRAC tools, I caught up with talented data scientist Mahdi Namazifar to discuss TRAC’s work with the Berkeley AMPLab Big Data stack.
Researchers at University of California, Berkeley AMPLab built this open source Berkeley Data Analytics Stack (BDAS), starting at the bottom what is Mesos?
AMPLab is looking at the big data problem from a slightly different perspective, a novel perspective that includes a number of different components. When you look at the stack at the lowest level, you see Mesos, which is a resource management tool for cluster computing. Suppose you have a cluster that you are using for running Hadoop Map Reduce jobs, MPI jobs, and multi-threaded jobs. Mesos manages the available computing resources and assigns them to different kinds of jobs running on the cluster in an efficient way. In a traditional Hadoop cluster, only one Map-Reduce job is running at any given time and that job blocks all the cluster resources. Mesos on the other hand, sits on top of a cluster and manages the resources for all the different types of computation that might be running on the cluster. Mesos is similar to Apache YARN, which is another cluster resource management tool. TRAC doesn’t currently use Mesos.
The AMPLab Statck
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Tags: AMPLab, analytics, BDAS, Big Data, BlinkDB, Cisco, custom, database, Hadoop, innovation, mapreduce, Mesos, NoSQL, Scala, security, Shark, Spark, Stack, TRAC, TRAC Big Data Analysis
Recently I had an opportunity to sit down with the talented data scientists from Cisco’s Threat Research, Analysis, and Communications (TRAC) team to discuss Big Data security challenges, tools and methodologies. The following is part one of five in this series where Jisheng Wang, John Conley, and Preetham Raghunanda share how TRAC is tackling Big Data.
Given the hype surrounding “Big Data,” what does that term actually mean?
John: First of all, because of overuse, the “Big Data” term has become almost meaningless. For us and for SIO (Security Intelligence and Operations) it means a combination of infrastructure, tools, and data sources all coming together to make it possible to have unified repositories of data that can address problems that we never thought we could solve before. It really means taking advantage of new technologies, tools, and new ways of thinking about problems.
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Tags: analytics, API, Big Data, Cisco, database, Hadoop, HDFS, innovation, Intelligence, java, mapreduce, NoSQL, operations, security, Shark, Spark, SQL, telemetry, TRAC, TRAC Big Data Analysis
Next Thursday you don’t want to miss a live technical webcast with Q&A on the hot topic of Wi-Fi location-based services. Join Techwise tech legend Jimmy Ray Purser and technical marketing engineer lead Darryl Sladden for a deep technical discussion covering the ins and outs of Cisco’s Mobility Services Engine – the intelligence engine in the Cisco Wi-Fi network that enables Cisco Connected Mobile Experiences functionality.
You’ll get a full, hands-on view of four pieces of the solution and see how it all ties into your Wi-Fi network:
- Location detection – how Cisco’s Wi-Fi infrastructure detects mobile devices and calculates their location
- Analytics – how the MSE aggregates and reports Wi-Fi location data and trends to administrators and operations leads so that they can better understand guest behavior
- APIs – how Cisco’s Mobility Services APIs provide application developers rich, contextual information they can use to create a variety of internally and externally-facing apps
- Maps – a use case of how Cisco uses it’s own Wi-Fi location-based services inside the organization to increase efficiency and employees get to where they need to go
This is an in-depth session you won’t want to miss. Register now and mark your calendars for December 12!
Tags: analytics, API, cmx, connected mobile experiences, location, location detection, location services, location-based, map, mobile, mobility, Techwise, wi-fi, wifi, wireless
What if you had a “virtual doctor” who was available at any time—24x7—to give you a quick checkup, dispense friendly health advice, and even alert you to possible health problems before they become serious? What if your parents or grandparents got a gentle daily reminder to take their medication, so they would never have to worry about missing a dose? What if you could walk into any emergency room in the country and receive exactly the care you need because the hospital has instant access to all your medical records? While much of this may seem futuristic, it will become reality in a future not that far away.
Big Data and analytics are transforming healthcare as we know it. Let me share a few examples:
1. Patient care
Many healthcare providers are stretched to capacity, and can’t always follow up with patients to see how they’re doing and make sure they are following medical advice. Today, we are beginning to see pills with tiny ingestible sensors that send a message to your doctor or to a loved one to confirm that you have taken the pill—giving peace of mind to worried children of elderly parents, or anyone who needs to take medication at a specified time. In the future, these sensors will likely also be able to report whether the medicine results in the right impact, and to suggest a change of dose or even a different medication, if that is appropriate.
A high-risk pregnancy is a constant source of worry for many women. In the near future, small electronic “tattoos” will provide nonstop fetal monitoring through a sticker worn right on the skin. Wireless communications capabilities will send vital signs directly to the cloud, where Big Data and analytics capabilities can evaluate the information and send appropriate alerts to the mother and her doctor.
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Tags: analytics, Big Data, Cisco, electronic medical records, healthcare, Internet of Everything, Quantified Self, sensors
Dreamhack Winter 2013 in the small city of Jonkoping in central Sweden claims to be the world’s largest digital event. I was skeptical at first, but when I arrived for the event, I was completely amazed at the scale of things in this tiny part of the world where its only bright for 5 or 6 hours during day this time of the year.
Of course, the amount of daylight didn’t impact one bit the large numbers of people streaming into the event venue well before opening time on Thursday afternoon.
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Tags: analytics, Connected, connected mobile experiences, connectivity, Dreamhack, innovation, internet, jonkoping, location, location analytics, location based services, Millennial, mobile, mobility, network, platform, telia, wi-fi, wi-fi location, wifi, wireless