Posts Tagged ‘analytics’

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 Director of messaging and strategy across the data analytics portfolio at Dell EMC. Martini has been involved in data analytics for over ten years. Today the focus is on communicating the value of the Dell EMC solutions to enable customers to begin and advance their data analytics journeys to transform their organizations into data-driven businesses. You can follow Martini on Twitter @martinij.

 

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.

Break the cycle of deploying unwieldy Hadoop infrastructure

Chris Harrold

CTO Big Data Solutions at EMC
Chris is responsible for the development of large-scale analytics solutions for EMC customers around emerging analytics platform technologies. Currently, he is focused on EMC Business Data Lake Solutions and delivering this solution to key EMC customer accounts.

Latest posts by Chris Harrold (see all)

 

We are in a new data-driven age. With the rise in adoption of big data analytics as a decision-making tool comes the need to accelerate time-to-insights and deliver faster innovation informed by these new data-driven insights.

You know what? That’s a lot of mumbo-jumbo. Let’s boil it down to the real issue for IT: the tools that analysts and data science professionals need were not really designed to be enterprise-friendly, and they can be unwieldy to deploy and manage. Specifically, I’m talking about Hadoop. Anything that requires the provisioning and configuration of a multitude of physical servers (that are exactly the same) is always going to be the enemy of speed and reliability. More so when those servers operate as a stand-alone, single-instance solution, without any link to the rest of the IT ecosystem (the whole point of shared nothing). Shared nothing may work for experimentation, but it is a terrible thing to build a business on and to support as an IT operations person.

How do I know this? Because I have been that guy for 25 years!

In order to bridge the gap between data science experimentation and IT operational stability, new approaches are needed to provide operational resiliency without compromising the ability to rapidly deploy new analytical tools and solutions. This speed in deployment is essential to support the needs of developers and data scientists. But the complexity and unwieldy nature of traditional Hadoop infrastructure is a major barrier to success for big data analytics projects.

Consider these questions and see if they sound familiar:

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The Next Stage for Strata Hadoop World and Big Data

David Dietrich

Director of Technical Marketing in Big Data Solutions at EMC
David Dietrich is the Director of Technical Marketing for the Big Data Solutions group at EMC – a group that provides technology and services solutions to customers with needs related to Big Data and data science. Prior to this role, Mr. Dietrich was head of data science education at EMC, where he developed three courses in data science for practitioners, heads of teams and executives.

Latest posts by David Dietrich (see all)

Strata + Hadoop World New York is an event I look forward to attending each year.  I like the sessions, speakers, and also seeing how the attendees and vendors have evolved over time.  When I first began attending SHW 4 or 5 years ago, the attendees were only about 200 people, and this year in NYC they topped 6,300!   As a result, the conference has had to move from the New York Hilton to the Javits Center, since it is such a huge event now.

As with Big Data itself, focusing on the sheer volume of conference attendees doesn’t tell the whole story.  Here are a few of my observations from the conference.

  1. Early majority now joining the fray. As I mentioned, I’ve attended Strata for 4-5 years, and knowing that others also return every year, I expected more attendees at the sessions around emerging technologies that are gaining adoption, such as Spark or Kafka.  Although this did occur, I underestimated the heavy attendance in sessions for people just attending Strata for the first time.  This means the ‘beginner’ sessions were packed, for every person who’s been using Hadoop for years and now wants to experiment with Spark, there are still scores more trying to learn R or learn how to deploy Hadoop in a feasible way.

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What Are The Real Effects Of Climate Change?

Mona Patel

Senior Manager, Big Data Solutions Marketing at EMC
Mona Patel is a Senior Manager for Big Data Marketing at EMC Corporation. With over 15 years of working with data at The Department of Water and Power, Air Touch Communications, Oracle, and MicroStrategy, Mona decided to grow her career at EMC, a leader in Big Data.

Contributing to social good is now literally at everyone’s fingertips. That is why EMC and Earthwatch Institute have teamed up to encourage citizens to become data collectors, or citizen scientists. Through the collection of more data sources, data scientists can better uncover how climate change is affecting plants and animals by altering the timing of key natural events.

This collaboration is called the Whenology project, with the first study underway to investigate how climate change is affecting raptor migrations at Acadia National Park. To create awareness and encourage more participation, EMC launched a microsite that provides educational materials, track progress, and report insights.

whenology

I spoke with EMC Distinguished Engineer John Cardente about the Whenology project and it’s potential to provide a powerful citizen science platform for collaboratively tackling virtually any large-scale, high impact societal issue.

1.  What is the Whenology project and what are your major objectives?

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