Welcome!

Big Data Journal Authors: Liz McMillan, Andreas Grabner, Michelle Drolet, Elizabeth White, Kevin Benedict

Blog Feed Post

Apache Spark for Big Analytics

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013.   Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop.  Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in June 2013. Spark seeks to address the critical challenges for advanced analytics in Hadoop.  First, Spark is designed to support in-memory processing, so developers can write iterative algorithms without writing out a result set after each pass through the data.  This enables true high performance advanced analytics; for techniques like logistic regression, project sponsors report runtimes in Spark 100X faster than what they are able to achieve with MapReduce.  Second, Spark offers an integrated framework for advanced analytics, including a machine learning library (MLLib); a graph engine (GraphX); a streaming analytics engine (Spark Streaming) and a fast interactive query tool (Shark).   This eliminates the need to support multiple point solutions, such as Giraph, GraphLab and Tez for graph engines; Storm and S3 for streaming; or Hive and Impala for interactive queries.  A single platform simplifies integration, and ensures that users can produce consistent results across different types of analysis.   At Spark's core is an abstraction layer called Resilient Distributed Datasets, or RDDs.  RDDs are read-only partitioned collections of records created through deterministic operations on stable data or other RDDs.  RDDs include information about data lineage together with instructions for data transformation and (optional) instructions for persistence.  They are designed to be fault tolerant, so that if an operation fails it can be reconstructed.   For data sources, Spark works with any file stored in HDFS, or any other storage system supported by Hadoop (including local file systems, Amazon S3, Hypertable and HBase).  Hadoop supports text files, SequenceFiles and any other Hadoop InputFormat. Spark's machine learning library, MLLib, is rapidly growing.   In the latest release it includes linear support vector machines and logistic regression for binary classification; linear regression; k-means clustering; and alternating least squares for collaborative filtering.  Linear regression, logistic regression and support vector machines are all based on a gradient descent optimization algorithm, with options for L1 and L2 regularization.  MLLib is part of a larger machine learning project (MLBase), which includes an API for feature extraction and an optimizer (currently in development with planned release in 2014). GraphX, Spark's graph engine, is currently in beta.  GraphX combines the advantages of data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark framework.  It enables users to interactively load, transform, and compute on massive graphs.  Project sponsors report performance comparable to Apache Giraph, but in a fault tolerant environment that is readily integrated with other advanced analytics. Spark Streaming offers an additional abstraction called discretized streams, or DStreams.  DStreams are a continuous sequence of RDDs representing a stream of data; they are created from live incoming data or generated by transforming other DStreams.  Spark receives data, divides it into batches, then replicates the batches for fault tolerance and persists them in memory where they are available for mathematical operations.  Currently, Spark supports programming interfaces for Scala, Java and Python.  For R users, there is good news: an R interface is in the works and under development by the team at AMPLab; our sources tell us  this is expected to be released in the first half of 2014. There is an active and growing developer community for Spark, as shown in the chart below.  In the past six months, more than one hundred developers have contributed to Spark; in the same time period, just three developers actively contributed to Mahout. Spark developers contributed almost five thousand commits in the past six months, more than all of the other projects shown in the chart combined.   In 2013, the Spark project has published seven double-dot releases, including Spark 0.8.1 published on December 19; this latest release includes YARN 2.2 support, high availability mode for cluster management, performance optimizations and improvements to the machine learning library and Python interface. In a nod to Spark's rapid progress, Cloudera recently announced that it plans to distribute Spark in CDH5, and will partner with Databricks to provide commercial support. This announcement resonated in the analyst community; Derrick Harris of GigaOm, for example, wrote that "Spark is a really big deal for Big Data, and Cloudera gets it." Recently, the first Spark Summit attracted more than 450 participants from more than 180 companies. Presentations covered a range of applications such as neuroscience, audience expansion, real-time network optimization and real-time data center management, together with a range of technical topics. In 2014, Spark's organizers expect to achieve top-level status in Apache.  Developers expect to continue adding machine learning features and to simplify implementation.  Together with an R interface and commercial support, we can expect continued interest and application for Spark.

Read the original blog entry...

More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

Cloud Expo Breaking News
More and more enterprises today are doing business by opening up their data and applications through APIs. Though forward-thinking and strategic, exposing APIs also increases the surface area for potential attack by hackers. To benefit from APIs while staying secure, enterprises and security architects need to continue to develop a deep understanding about API security and how it differs from traditional web application security or mobile application security. In his session at 14th Cloud Expo, Sachin Agarwal, VP of Product Marketing and Strategy at SOA Software, will walk you through the various aspects of how an API could be potentially exploited. He will discuss the necessary best practices to secure your data and enterprise applications while continue continuing to support your business’s digital initiatives.
Web conferencing in a public cloud has the same risks as any other cloud service. If you have ever had concerns over the types of data being shared in your employees’ web conferences, such as IP, financials or customer data, then it’s time to look at web conferencing in a private cloud. In her session at 14th Cloud Expo, Courtney Behrens, Senior Marketing Manager at Brother International, will discuss how issues that had previously been out of your control, like performance, advanced administration and compliance, can now be put back behind your firewall.
Next-Gen Cloud. Whatever you call it, there’s a higher calling for cloud computing that requires providers to change their spots and move from a commodity mindset to a premium one. Businesses can no longer maintain the status quo that today’s service providers offer. Yes, the continuity, speed, mobility, data access and connectivity are staples of the cloud and always will be. But cloud providers that plan to not only exist tomorrow – but to lead – know that security must be the top priority for the cloud and are delivering it now. In his session at 14th Cloud Expo, Kurt Hagerman, Chief Information Security Officer at FireHost, will detail why and how you can have both infrastructure performance and enterprise-grade security – and what tomorrow's cloud provider will look like.
The social media expansion has shown just how people are eager to share their experiences with the rest of the world. Cloud technology is the perfect platform to satisfy this need given its great flexibility and readiness. At Cynny, we aim to revolutionize how people share and organize their digital life through a brand new cloud service, starting from infrastructure to the users’ interface. A revolution that began from inventing and designing our very own infrastructure: we have created the first server network powered solely by ARM CPU. The microservers have “organism-like” features, differentiating them from any of the current technologies. Benefits include low consumption of energy, making Cynny the ecologically friendly alternative for storage as well as cheaper infrastructure, lower running costs, etc.
The revolution that happened in the server universe over the past 15 years has resulted in an eco-system that is more open, more democratically innovative and produced better results in technically challenging dimensions like scale. The underpinnings of the revolution were common hardware, standards based APIs (ex. POSIX) and a strict adherence to layering and isolation between applications, daemons and kernel drivers/modules which allowed multiple types of development happen in parallel without hindering others. Put simply, today's server model is built on a consistent x86 platform with few surprises in its core components. A kernel abstracts away the platform, so that applications and daemons are decoupled from the hardware. In contrast, networking equipment is still stuck in the mainframe era. Today, networking equipment is a single appliance, including hardware, OS, applications and user interface come as a monolithic entity from a single vendor. Switching between different vendor'...
Cloud backup and recovery services are critical to safeguarding an organization’s data and ensuring business continuity when technical failures and outages occur. With so many choices, how do you find the right provider for your specific needs? In his session at 14th Cloud Expo, Daniel Jacobson, Technology Manager at BUMI, will outline the key factors including backup configurations, proactive monitoring, data restoration, disaster recovery drills, security, compliance and data center resources. Aside from the technical considerations, the secret sauce in identifying the best vendor is the level of focus, expertise and specialization of their engineering team and support group, and how they monitor your day-to-day backups, provide recommendations, and guide you through restores when necessary.
Cloud scalability and performance should be at the heart of every successful Internet venture. The infrastructure needs to be resilient, flexible, and fast – it’s best not to get caught thinking about architecture until the middle of an emergency, when it's too late. In his interactive, no-holds-barred session at 14th Cloud Expo, Phil Jackson, Development Community Advocate for SoftLayer, will dive into how to design and build-out the right cloud infrastructure.
You use an agile process; your goal is to make your organization more agile. What about your data infrastructure? The truth is, today’s databases are anything but agile – they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver on new features and capabilities needed to make your organization competitive. As your application and business needs change, data repositories and structures get outmoded rapidly, resulting in increased work for application developers and slow performance for end users. Further, as data sizes grow into the Big Data realm, this problem is exacerbated and becomes even more difficult to address. A seemingly simple schema change can take hours (or more) to perform, and as requirements evolve the disconnect between existing data structures and actual needs diverge.
SYS-CON Events announced today that SherWeb, a long-time leading provider of cloud services and Microsoft's 2013 World Hosting Partner of the Year, will exhibit at SYS-CON's 14th International Cloud Expo®, which will take place on June 10–12, 2014, at the Javits Center in New York City, New York. A worldwide hosted services leader ranking in the prestigious North American Deloitte Technology Fast 500TM, and Microsoft's 2013 World Hosting Partner of the Year, SherWeb provides competitive cloud solutions to businesses and partners around the world. Founded in 1998, SherWeb is a privately owned company headquartered in Quebec, Canada. Its service portfolio includes Microsoft Exchange, SharePoint, Lync, Dynamics CRM and more.
The world of cloud and application development is not just for the hardened developer these days. In their session at 14th Cloud Expo, Phil Jackson, Development Community Advocate for SoftLayer, and Harold Hannon, Sr. Software Architect at SoftLayer, will pull back the curtain of the architecture of a fun demo application purpose-built for the cloud. They will focus on demonstrating how they leveraged compute, storage, messaging, and other cloud elements hosted at SoftLayer to lower the effort and difficulty of putting together a useful application. This will be an active demonstration and review of simple command-line tools and resources, so don’t be afraid if you are not a seasoned developer.
SYS-CON Events announced today that BUMI, a premium managed service provider specializing in data backup and recovery, will exhibit at SYS-CON's 14th International Cloud Expo®, which will take place on June 10–12, 2014, at the Javits Center in New York City, New York. Manhattan-based BUMI (Backup My Info!) is a premium managed service provider specializing in data backup and recovery. Founded in 2002, the company’s Here, There and Everywhere data backup and recovery solutions are utilized by more than 500 businesses. BUMI clients include professional service organizations such as banking, financial, insurance, accounting, hedge funds and law firms. The company is known for its relentless passion for customer service and support, and has won numerous awards, including Customer Service Provider of the Year and 10 Best Companies to Work For.
Chief Security Officers (CSO), CIOs and IT Directors are all concerned with providing a secure environment from which their business can innovate and customers can safely consume without the fear of Distributed Denial of Service attacks. To be successful in today's hyper-connected world, the enterprise needs to leverage the capabilities of the web and be ready to innovate without fear of DDoS attacks, concerns about application security and other threats. Organizations face great risk from increasingly frequent and sophisticated attempts to render web properties unavailable, and steal intellectual property or personally identifiable information. Layered security best practices extend security beyond the data center, delivering DDoS protection and maintaining site performance in the face of fast-changing threats.
From data center to cloud to the network. In his session at 3rd SDDC Expo, Raul Martynek, CEO of Net Access, will identify the challenges facing both data center providers and enterprise IT as they relate to cross-platform automation. He will then provide insight into designing, building, securing and managing the technology as an integrated service offering. Topics covered include: High-density data center design Network (and SDN) integration and automation Cloud (and hosting) infrastructure considerations Monitoring and security Management approaches Self-service and automation
In his session at 14th Cloud Expo, David Holmes, Vice President at OutSystems, will demonstrate the immense power that lives at the intersection of mobile apps and cloud application platforms. Attendees will participate in a live demonstration – an enterprise mobile app will be built and changed before their eyes – on their own devices. David Holmes brings over 20 years of high-tech marketing leadership to OutSystems. Prior to joining OutSystems, he was VP of Global Marketing for Damballa, a leading provider of network security solutions. Previously, he was SVP of Global Marketing for Jacada where his branding and positioning expertise helped drive the company from start-up days to a $55 million initial public offering on Nasdaq.
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment. In his General Session at 14th Cloud Expo, Marc Jones, Vice President of Product Innovation for SoftLayer, will explain how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your online presence.