A New Generation Of Data Analytics Tools For the Cloud

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The Internet of Things (IoT) and Analytics at The Edge The Internet of Things (IoT) promises to change everything by enabling “smart” environments (homes, cities, hospitals, schools, stores, etc.) and smart products (cars, trucks, airplanes, trains, wind turbines, lawnmowers, etc.). I recently wrote about the importance of moving beyond “connected” to “smart” in a blog titled “Internet of Things: Connected Does Not Equal Smart”. The article discusses the importance of moving beyond just collecting the data, to transitioning to leveraging this new wealth of IoT data to improve the decisions that these smart environments and products need to make: to help these environments and products to self-monitor, self-diagnose and eventually, self-direct. But one of the key concepts in enabling this transition from connected to smart is the ability to perform “analytics at the ... (more)

[slides] #BigData MBA: How to Monetize Your Data | @CloudExpo @Schmarzo

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Big Data MBA: How to Monetize Your Data Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization's analytics. Download Slide Deck: ▸ Here In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at Dell EMC, introduced a methodology for capturing, enriching and sharing data (and analytics) across the organization in a "as-a-service" cloud model, and discussed the role that the data lake plays in monetizing the organization's growing wealth of data. Download Slide Deck: ▸ Here Speaker Bio Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big ... (more)

[session] The Role of #MachineLearning | @CloudExpo #ML #IoT #DX #BigData

Big Data Security | Internal Threat Detection: The Critical Role of Machine Learning Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect anomalous usage based on past usage. In his session at @BigDataExpo at @ThingsExpo, Angsuman Dutta, CEO and founder of Pricchaa, will share some of the best practices related to the use of machine learning for managing internal user and vendor risks. Speaker Bio Angsuman Dutta is the CEO a... (more)

Golden State Warriors Analytics Exercise | @BigDataExpo #BigData #Analytics

For a recent University of San Francisco MBA class, I wanted to put my students in a challenging situation where they would be forced to make difficult data science trade-offs between gathering data, preparing the data and performing the actual analysis. The purpose of the exercise was to test their ability to “think like a data scientist” with respect to identifying and quantifying variables that might be better predictors of performance. The exercise would require them to: Set up a basic analytic environment Gather and organize different data sources Explore the data using different visualization techniques Create and test composite metrics by grouping and transforming base metrics Create a score or analytic model that supports their recommendations I gave them the links to 10 Warrior games (5 regulation wins, 3 overtime losses and 2 regulation losses) as their star... (more)

Six Ways CIOs Can Drive #DigitalTransformation | @DevOpsSummit #DevOps #Analytics

Six Ways CIOs Can Drive Digital Transformation and Lead Their Companies Toward Revenue By Megan Van Vlack Growing a digital business is essential for virtually every enterprise across every industry. Large enterprises and small businesses alike are digitizing their internal and customer-facing processes and services to increase efficiency, scale their businesses, and collect meaningful data. Yet, while many companies have launched digital services to collect data, we haven’t fully tapped into the potential of data analytics—even though studies suggest that digital will be a top differentiator in years to come.  Curious how you can get a better handle on digital transformation? Read on to learn why it’s so crucial, plus discover six key ways to digitize your business. Why Digital Transformation Is Such a Big Deal A recent survey of 573 senior executives from North and... (more)

[slides] Demystify Analytics | @ThingsExpo @CHarrold303 #IoT #AI #BigData

Demystify Analytics - from Idea to Insight in Seven Minutes Download Slide Deck: ▸ Here There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting. In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, showed how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants received the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish, and were also given the practical knowledge to take their analysis to the next level and to have a conversation with their lines of business and management to show how easy it can be to add a social analytics package to their overall... (more)

Data Is a New Currency | @CloudExpo #BigData #BI #AI #ML #Analytics

This guest blog is provided by Brandon Kaier (@bkaier). Brandon has more than two decades of experience in the IT industry as a transformational leader.  Kaier is responsible for setting the strategy, defining the service line offerings and capabilities as the Field CTO for the North America. These responsibilities include bringing net new products and solutions to market with a focus on the deployment of solutions enabling analytics and agile application development. Most recently Kaier held positions on Technical Architecture team and Strategy and Direction team for Dell EMC’s Data Lake solutions. Kaier also brings experienced based, Dell EMC IT best practices, Big Data and Transformational strategies to Dell EMC customers. “Data is the new Oil.” Has anyone not heard this phrase yet? This analogy was first presented by Clive Humby at the Association of National A... (more)

Event Correlation and #DevOps | @DevOpsSummit #AI #APM #Analytics

Following up on my previous post, Layer Models are Alive and Well, this article dives deeper into event management and monitoring. The purpose of event management and monitoring is to make sense of events, and while this may require some analytics and intelligence, the goal is an actionable alert — a meaningful notification that enables the right person to take the right control action. So, we may leverage predictive analytics as a form of artificial intelligence to achieve this goal, and we might even need to perform further analytics in order to get the information required to make a good decision. This right-to-left flow provides us with the knowledge and wisdom to make effective decisions, which is the basis for effective automation. We must also leverage this knowledge to make sense of events, which is a left-right flow as illustrated below. In this case, effect... (more)

HTBase to Exhibit at @CloudExpo New York | @HTBase #AI #ML #SDN #SDDC

SYS-CON Events announced today that HTBase will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. HTBase (Gartner 2016 Cool Vendor) delivers a Composable IT infrastructure solution architected for agility and increased efficiency. It turns compute, storage, and fabric into fluid pools of resources that are easily composed and re-composed to meet each application's needs. With HTBase, companies can quickly provision resources and deploy unique, mission-critical, self-designed solutions to add-onto or create any type of infrastructure as per the business requirement. HTBase is the first company to enable a true multi-cloud strategy, enabling organizations to automate movement of data and workloads between private and public clouds. This means that organizations can now move data a... (more)

Data Lake Plumbers | @BigDataExpo @Schmarzo #BigData #IoT #AI #ML #DL

Many of my blogs promote the business benefits of the data lake, both from a “save me more money” as well as the “make me more money” perspectives. But I fear that I’m making this thing called the data lake sound like a “silver bullet" [1] – just drop the data into the data lake and everything magically works. But much like in the world of data warehousing, there is significant work that needs to be done under the covers – in areas such as metadata management, data governance and security – to ensure that the data lake will perform for a business in a production environment. Many of the processes and techniques we learned in the data warehouse will benefit us here, though there are many new tools to be aware of that can help us in the operationalization task. I’ve asked an industry expert in metadata management and data governance, Joe DosSantos (follow Joe on twit... (more)

ITSM Analytics | @CloudExpo @Zoho #BigData #IoT #ITSM #BI #AI #Analytics

Five Ways ITSM Analytics Improves IT Service Delivery By Sridhar Iyengar, Vice President, Product Management, ManageEngine Over the past few years, IT service management (ITSM) has become increasingly important to an organization's IT strategy, and companies are seeking new ways to improve IT service delivery and efficiency via better ITSM processes. This increases the importance of tracking and measuring critical KPIs. However, due to overwhelmingly large amounts of data, users find it challenging to manually access, track and analyze critical help desk information quickly. Using advanced IT analytics, managers can identify blind spots and hidden gaps in their ITSM process as well as make accurate decisions by monitoring key metrics. Here is how advanced IT analytics can make the best of your IT service desk. 1. Minimize the impact of business downtime Anticipate servi... (more)