Archive for the ‘Big Data’ Category

Getting started on your data analytics journey

Jean Marie Martini

Jean Marie Martini

Director, Data Analytics Portfolio Messaging and Strategy at Dell EMC
Jean Marie Martini is a Senior Consultant for messaging and strategy across the data analytics portfolio at Dell EMC. Martini has been involved in data analytics for over ten years and today focuses on communicating the value of the Dell EMC solutions to enable customers to begin their data analytics journey, to remain competitive throughout their journey, and to drive the insights that will transform their organizations into data-driven businesses. You can follow Martini on Twitter @martinij.
Jean Marie Martini

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The data analytics journey begins with an understanding of use cases and solutions that can help an organization unlock the value of its data. This is the focus of two new Dell EMC resources.

In the course of my work with the Dell EMC data analytics program, I often talk with customers who are focused on extracting value from enormous amounts of data. That was certainly the case at the recent Strata + Hadoop World conference in San Jose. The conference center was filled with people looking for innovative ways to unlock the business value that is embedded in the data they capture from the Internet of Things, social media, their corporate systems and countless diverse sources.

While each organization comes at the problem from different industries, everyone shares the goal of using data analytics to gain business insights and capitalize on the digital transformation that is under way. People understand that their enterprise data warehouses and data lakes hold the keys to achieving closer customer relationships, operational efficiencies and competitive advantages. The question then becomes, “How do you get there?”

This topic is explored in two new Dell EMC resources for organizations looking to capitalize on data for analytics. One of these assets is a white paper that explores how companies in different industries are turning to data analytics, data lakes, and the Apache™ Hadoop® platform for data collection, management and analysis.

In this paper, titled “Leveraging Data Analytics to Gain Competitive Advantage in Your Industry,” we highlight examples of diverse industry-specific and cross-industry uses cases for data analytics solutions. These use cases are based on the collective experiences of Dell EMC and our partners Intel, Cloudera, and Hortonworks.

The second asset is a brochure that drills down into solutions for organizations that are ready to begin their data analytics journeys. This brochure, titled “Power New Possibilities: Solutions for Your Data Analytics Journey,” explains the capabilities and benefits of the Dell EMC options for organizations on this path.

As for those options, Dell EMC has your needs covered no matter where you are in your data analytics journey. These offerings, summarized in the brochure, include solutions for getting started with Hadoop, building a data lake for analytics, extending your analytics capabilities, and enabling and accelerating your journey.

Regardless of the path you’re on, Dell EMC can help your organization move forward with confidence. We can help you gain hands-on experience across many solutions, from initial briefings through a proof of concept and into a full production environment that leverages validated solutions and proven reference architectures.

We can also help you with the essential initial steps of aligning the goals of IT and the business to address a use case that will deliver measureable business value. For example, you might choose a marketing analytics solution that uses predictive modeling to help your sales team target the right customer at the right time. That’s a use case that we’ve put into action at Dell EMC. (Read the case study.)

While different organizations will target different needs, the key is to begin with a use case that will showcase the power of data analytics and generate measurable results — the return on information. From that starting point, you can grow over time into an organization that is truly data-driven and poised for success in the digital economy.

For a closer look at the ways that Dell EMC can help your organization unlock the value of your data, visit DellEMC.com/BigData.

Getting started with machine-generated data

Brett Roberts

Brett Roberts

Data Analytics Systems Engineer at Dell EMC
Brett is the Technical Lead for Dell EMC’s Data Analytics Technology Alliances, focused on developing solutions that help customers solve their data challenges. You can find him on social media at @Broberts2261
Brett Roberts

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By Brett Roberts with Debra Slapak

We are literally surrounded by data generated from devices and other machines—things like the phones in our pockets, vehicle sensors, the ATM at our favorite spot, cameras on the street, even the thermostats and appliances in our homes. As consumers, we benefit from insights generated when this data is analyzed and put to work for us. This, ideally, protects us or makes us more loyal to the companies that provide better experiences or outcomes for us.

Increasingly, business, government and non-profit organizations alike are generating, capturing, and analyzing massive amounts of machine-generated data to help them improve operational efficiency and customer experience. This process may look simple from the consumer side, but the reality is that transforming business and operating models using machine-generated data can be challenging. The data itself is typically a mix of structured, unstructured or semi-structured data from a wide variety of sources, and organizations often to struggle with how best to collect and analyze it.

To address these problems, Dell EMC and Splunk formed a strategic partnership to architect, test and validate solutions that combine Splunk on Dell EMC infrastructure. The work our teams do together simplifies decision-making and deployment of analytics solutions for machine-generated data, so our customers can focus on better experiences and outcomes for their customers.

Splunk is a platform for real-time operational intelligence using machine-generated data. It enables organizations to search, analyze and visualize those massive streams of machine data generated using highly-optimized IT systems and technology infrastructure—physical, virtual and in the cloud. Within just a few years, Splunk has emerged as one of the fastest-growing data-focused platforms, used by more than 75 of the Fortune 100 companies to extract value from machine-generated data. Some have called Splunk the “easy button” for analytics, because it quickly collects and analyzes all varieties of data whether it’s big data, fast data, the Internet of Things (IoT) sensor data, cyber-security streaming data, or sentiment analysis data from social media. Many attribute Splunk’s rapid success to its simplified end-to-end platform, which enables users to collect data from anywhere with its universal forwarding and indexing technology, as well as its ability to search and analyze data using “schema on the fly” technology, all resulting in the delivery of real-time insights and accelerated time to value.

To support the performance and evolving storage demands associated with creating actionable information using machine-generated data, Splunk requires powerful and flexible infrastructure that:

  • Provides processor and memory configurations based on Splunk recommendations (Splunk has a great document on this for different deployment needs.)
  • Enables a flexible, scale-out capacity consumption mode
  • Includes data services like data reduction (deduplication or compression) and encryption
  • Delivers cost-effective and optimized tiered storage for hot, warm, and cold data
  • Is optimized and validated by Splunk- to meet or exceed pre-determined reference hardware requirements

Let’s look at an example.

One of the world’s largest logistics companies recently embarked on a data journey to take control of fast, diverse and large amounts of machine-generated data. The company has planes, trucks, scanners, and warehouses, all creating enormous amounts of data, as much as multi-TBs per day. In this competitive industry where minutes matter, the risk of not harnessing data for a multitude of insights can mean the difference between success and failure. With so many machines generating data, capturing and leveraging that data can be massively complex.  Here is where the Splunk platform has delivered the power, flexibility, scalability and speed they need to tackle these challenges.

Splunk is an important half of the equation. The other half is ensuring that the infrastructure running Splunk will optimize Splunk operations in this environment. This means having a correctly sized configuration to support multi-TB-per day ingestion, with a scale-out architecture that grows as Splunk use cases expand and as data ingestion grows. Using Splunk on optimized, Splunk-validated infrastructure that provides powerful data services and cost effective tiering, our customer is now well on the journey to proactive insights that will drive their business farther and faster.

The figure below summarizes the key requirements for Splunk-optimized infrastructure.

 

Deploying Splunk on proven architectures that have the attributes shown in the above figure helps Splunk run efficiently and scale easily as Splunk usage evolves in an organization. This is where Dell EMC comes in. Dell EMC’s portfolio of technologies are a proven landing spot for Splunk workloads. To see many of the documented solutions that have been implemented over the past year, visit the Dell EMC partner page on Splunk.com. The strength of the partnership has led to the development of jointly validated solutions for Splunk. These solutions meet or exceed Splunk performance benchmarks, based on their documented reference hardware. The solutions (linked below) have been configured for all types of deployment needs and use cases. With these solutions, organizations reduce complexity and risk associated with do-it-yourself solutions and speed time to value and insights in Splunk deployments.

Deploying Splunk on Converged Infrastructure with Dell EMC Vblock540

Deploying Splunk on Dell EMC Scale-Out Hyper-converged Infrastructure

If you refer back to the checklist above, you’ll find that the Dell EMC | Splunk solutions cover the requirements listed: Proper processing and computer sizing, scale-out architecture and cost-effective tiering coupled with highly advanced data services.

Machine generated data is everywhere and has tremendous potential value. Don’t miss out on the chance to capitalize on it. Dell EMC solutions for Splunk are ideal for getting started and, as you scale, you’ll be confident knowing the solutions will scale with you.

 

 

Strata+Hadoop World 2017 – San Jose

Erin K. Banks

Erin K. Banks

Portfolio Marketing Director at Dell EMC
Erin K. Banks has been in the IT industry for almost 20 years. She is the Portfolio Marketing Director for Big Data and Data Analytics at Dell EMC. Previously she worked at Juniper Networks in Technical Marketing for the Security Business Unit. She has also worked at VMware and EMC as an SE in the Federal Division, focused on Virtualization and Security. She holds both CISSP and CISA accreditations. Erin has a BS in Electrical Engineering and is an author, blogger, and avid runner. You can find her on social media at @banksek
Erin K. Banks

Another Strata+Hadoop World San Jose is upon us and some of us are extra excited because this is the first time we are in San Jose as Dell EMC. I was literally on a call today going over the logistics and a couple of people could not stop talking about the event and how it will be great that we get to be a part of it as Dell EMC. We are incredibly proud of the way the merger has come together and all that we have accomplished along the way. This time we get the opportunity to show you that we are not just an infrastructure company but a company that is focused on your business outcomes. We have worked with the full range of customers and helped them be successful across multiple disciplines.

Strata+Hadoop World 2017What is our main message? Analytics that Drive Business

The only way that you can solve your business problems is through data analytics. Your current and future data has the potential to answer these problems, but recognizing the questions is not that easy. How do you find these questions and how do you get a return on information, is the true question. We want to guide you through the maze and challenges of data analytics through our services and simple and complete offerings that take the guess work out of the struggle. We want to allow your business to focus on what’s most important, driving your business forward.

We have two sessions occurring at Strata+Hadoop World

Tuesday @ 1:30 Pm in room 210 B/F with Bill Schmarzo ( @schmarzo )

Wednesday @ 11:00 am in room 210 B/F with yours truly, Erin Banks ( @banksek )

We will be in booth 1409, which is to the right of the main entrance, so please come on by and let us prove to you that we are more than just infrastructure. Also follow us on @DellEMCbigdata to see how the conference is going.

Some additional information can be found at our Dell EMC events site

Data Analytics Paves the Way to Better Healthcare

William Geller

William Geller

Data Analytics Product Marketing at Dell EMC
William Geller has been involved in new technology and data science for over 15 years, with experience launching and marketing new products for both startups and in enterprise, around the world. William is the Principal Product Marketing lead for Data Analytics in the Solutions Marketing division of CPSD. Prior to joining Dell EMC, he worked for numerous startups in Healthcare IT, Social Network Analytics, and cyber security. He holds a VMware VCP4.0 accreditation. Willam has an BS in Electrical Engineering from Drexel University and an MBA from Babson College. You can find him on Twitter at @williamgeller
William Geller
William Geller

The wide breadth of benefits from data analytics comes in many forms as companies embrace their data assets to affect their businesses and ultimately human lives. When it comes to healthcare, it’s easy to think there is no such thing as too much data. However, with limited time to address urgent medical issues, vast quantities of data aren’t always evaluated in time to uncover distinct patterns that could guide treatment.

Partners Healthcare, a hospital system in the Boston area, saw the same issue and sought to bring better clinical care outcomes with Dell EMC’s Analytic Insights Module. Brent Richter, Director of Enterprise Research at Partners Healthcare recently sat down for an interview with Dave Vellante at SiliconAngle. Richter discussed how Partner’s leveraging of incredible flows of patient data that are matched and reconciled between hospitals in the network, and blended with their own BioBank of sequenced genomes to support Precision Medicine. To illustrate the power of data analytics, Richter shares a staggering early success using Analytic Insights Module, where data analytics led physicians to forego the typical path of “try-and-fail” cancer treatments for a particular patient.  Instead their analysis revealed that they would achieve a better outcome for the patient if they focused on treatment using a drug called Crizotinib. Normally not used for the type of cancer this patient had, Analytic Insights Module has uncovered that the genetics of the tumor which had fully metastasized, matched a treatment used successfully elsewhere. To the delight of all, this course of treatment managed to greatly reduce the cancer in only 2 weeks. Partners Healthcare is harnessing all their patient data to reveal new insights for personalized medicine and customized treatments that just aren’t possible with traditional analytical methods – until now.

To view the SiliconAngle Cube session with Brent Richter, please follow this link.

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