The message here is to make your enterprise “extraordinary” through IT transformation. EMC helps organizations transform their business through cloud enablement (reduce the 85% maintenance to 60%) - reducing the time/cost of “keeping the lights on” while improving business agility (i.e., basic cloud message). We can expand (or not) on this message and actually link it to Oil & Gas by discussing our leadership in virtualization (first step) - most major Oil & Gas companies are already implementing VMWare, EMC offers leading infrastructure platforms, we are building Oil & Gas solutions with our network of Service Provider Partners, etceterea. B) leading a path to business innovation and competitive advantage by leveraging Big Data solutions (shift your spend from 15% innovation to 40% innovation). Later, we can describe our vision of Big Data for Big Oil through the Volume/Variety/Velocity slide along with our $100M investment at the BRDC. C) My recommendation is to put Security below as the “pillar of trust”. It is a pre-requisite to achieving A) & B) and EMC offers the most secure solutions. The key message is that EMC has an end-to-end offering that allows Oil & Gas companies to transform IT from a cost center to an innovation center.
EMC has the complete product portfolio for Cloud and Big Data. It begins with a single layer for customers’ backup and recovery (Data Domain, Avamar, and Networker). It also includes enterprise application storage with VNX and VNXe unified storage, and VMAX and VMAXe scale-out block storage. For Big Data, EMC has Isilon and Atmos for storing unstructured and object data. There are also leading hybrid technologies: VPLEX for federation, RSA for security, and Ionix for management. For Big Data analytics, EMC has Greenplum, allowing customers to analyze both structured and unstructured data to bring in data faster than ever with scale-out data ingest, and faster queries with scale-out query execution. To accelerate a customer’s journey to the cloud, EMC has vBlock, a pre-validated, pre-integrated, converged infrastructure of compute, network, storage and virtualization from the market-leaders, EMC, Cisco, and VMware.
Hiring of 50+ NationalsHiring and sponsorship of just as many interns and grantsFirst EBC in Latin AmericaThis is an artists rendering of what the facility will look like. [click]. This is what it really looks like right now. I like the pretty picture better [click]
Today, I am making deliberate choices to not spend much time talking about the IT budget dilemma, even though you will soon realize this is an issue, and I will not discuss much about security either…I will instead focus on the Information Deluge issue…
“The second is the data deluge. In 2010, The Digital Universe study from IDC said the Digital Universe was 1.2 Zettabytes. Zettabyte is a trillion billion bytes. Digital Universe was believed to contain 300 Quadrillion files in 2010.”
Data from the new 2011 Digital Universe from IDC, sponsored by EMCData growing 44XBut IT staff only growing at 1.5X by the end of the decadeOnly way to stay ahead of the data deluge is to increase the volume of information that can be managed per person, using new technologies and productivity tools
We think cloud is the next wave of massive disruption in IT that started with Mainframes.It’s disruptive because of the dramatic benefits it delivers to organization in both cost efficiency and agility (bottom line and top line).Its disruptive because it’s built on disruptive technologies and disruptive technology leads to lasting change.In the case of cloud, it’s arguably the most disruptive because we are seeing the IT cloud wave and the consumer cloud wave happen simultaneously.
Because now we are ready for the connected Era, where our health life is measured by the number of bars you have on your mobile device…
The data deluge is enabled by the Economies of Cloud, but is driven by the connected era avalanche of devices…The sources of information are expanding. Many new sources are machine generated. It’s also big files (siesmic scans can be 5TB per file) and massive numbers of small files (email, social media).Leading companies for decades have always sought to leverage new sources of data, and the insights that can be gleaned from those data sources, as new sources of competitive advantage.More detailed structured dataNew unstructured dataDevice-generated dataBut big data isn’t only about data, a comprehensive big data strategy also needs to consider the role and prominence of new, enabling-technologies such as:Scale out storageMPP database architecturesHadoop and the Hadoop ecosystemIn-database analyticsIn-memory computingData virtualizationData visualization
Big data não é novidade alguma
Explosion in types of data<CLICK>Not just types but size: New digital universe study by IDC, Information will grow 50x before 2021BELOW ARE NOTES ONLY, NOT FOR MONITOR:We see that the sources of data are expanding, and it’s not just the types of data, but the size of this data. Data will grow 50X in the next 10 years super Moore’s Law in growth rate of data.
New capture, search, discovery, and analysis tools can help organizations gain insights from their unstructured data, which accounts for more than 90% of the digital universe. (Mike, Proof Doc)
Big Data não é gambiarra
Mudança na forma como vemos o valor da informaçãoMudança na forma como vemos o gerenciamento da informaçãoMudança na forma como entendemos o contexto no qual a informação é geradaMudança na forma como misturamos o dados e as diversas fontesMudança na forma como vemos o mundoE principalmente...
A new role—Data Scientist—will play a key role in the Big Data Analytics world, requiring knowledge and skills involving new methodologies, technologies, and tools that go beyond traditional data analytics.While BI looks at historical data, data science enables organizations to look at disparate data sets in real time and draw conclusions that can help better predict future patterns of events. Data Scientists must understand the Business Intelligence world just as Business Intelligence analysts need to understand the Data Science world so they can work together in cohesive teams to ensure the business is gaining optimum value from leveraging big data and data in traditional data warehouses.Conselho do meu pai: meio não fim.Agora inverteu: BD possibilita ser meio e fim.
As background, it is important to understand that Business Intelligence is different than data science and analytics. BI deals with reporting on history. What happened last quarter? How many did we sell, etc.Data science is about predicting the future and understanding why things happen. What is the optimal solution? What will happen next?For many companies data science is a new approach to understanding the business yet an important one to undertake today. Gartner states that enterprises who are embracing Big Data and Data Science will outperform their peers by over 20% in the next five years.
Here are 5 main competency and behavioral characteristics for Data Scientists.Quantitative skills, such as mathematics or statistics Technical aptitude, such as software engineering, machine learning, and programming skills. Skeptical…..this may be a counterintuitive trait, although it is important that data scientists can examine their work critically rather than in a one-sided way.Curious & Creative, data scientists must be passionate about data and finding creative ways to solve problems and portray informationCommunicative & Collaborative: it is not enough to have strong quantitative skills or engineering skills. To make a project resonate, you must be able to articulate the business value in a clear way, and work collaboratively with project sponsors and key stakeholders.