NoSQL, Hadoop and MapReduce: Building a Modern Data Infrastructure that Works

Data visualization must be intuitive in order for non-IT business leaders to see data patterns. Representing data in a graphical or pictorial format is easy, but constructing the data in the best and most logical way can be tricky.

In this session, Umesh will talk about how to represent data simply to make quicker and better business decisions. He will walk through several data visualization techniques through business cases and examples. By the end of the session, you will not only know different data visualization techniques, but also have an understanding of circumstances under which each technique should be used and the best way to represent particular data sets for different business cases.

This case study is framed in a multinational company with 300k+ employees, present in 100+ countries, that is adding one extra layer of security based on big data analytics capabilities, in order to provide net-new value to their ongoing SOC-related investments.

Having billions of events being generated on a weekly basis, real-time monitoring must be complemented with deep analysis to hunt targeted and advanced attacks.

By leveraging a cloud-based Spark cluster, ElasticSearch, R, Scala and PowerBI, a security analytics platform based on anomaly detection is being progressively implemented.

Anomalies are spotted by applying well-known analytics techniques, from data transformation and mining to clustering, graph analysis, topic modeling, classification and dimensionality reduction.

Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.

Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.

In this webinar Andy and Eva will present examples of Government using data visualization to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.

We will examine challenges regarding business model design in the emerging context of the Internet of Things (IoT).
An unrefined IoT business model implies a significant risk in terms of investment and implementation.

The key question is, "How can IoT application models be subjected to a reality check taking into account challenges pertaining technology, organization and target markets?"

Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.

In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.

First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
- Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
- Finally, we'll discuss the relationship between open data and innovation.

For decades “things” have been connected to the Internet. Embedded in carefully planned end-to-end solutions, the what and why of the data arising from these devices has often been hard-coded. In other words, in the M2M world, it is usually clear from the outset what is going to happen with the data. In a future IoT, this won’t necessarily be the case. In a world full of connected devices, the meaning and the potential of the device data is only going to become clear in the context where it is needed in.

But how can software tell that your connected thermometer is useful for a medical application, or that a car in the drive way is likely an indicator of your partner’s presence? This is where device catalogues, information models and ontologies come in handy.

While the talk is not specifically tailored towards a smart city focus, it should become clear how these technologies can be useful in such environment.

See how Netflix built its analytics in the cloud with Tableau and Amazon Web Services

Building out a data platform doesn't have to be like building a House of Cards, and our friends at Netflix know this better than anyone else. With 86 million members and counting, and more than 700 billion events per day, Netflix has had to expand their data capabilities by developing a scalable and flexible analytics platform built on Tableau and AWS.

Attend this webinar to hear from Albert Wong, analytics expert at Netflix, to see how they simplified their data stack by building a data lake/data warehouse strategy which allows Netflix to collect and store massive amounts of data, supporting thousands of Tableau users with managed data.

You'll learn about:

How to set up effective analytics on top of enormous data sets
How Netflix serves large groups of people with governed data
The details of Netflix's data lake/data warehouse strategy
How Netflix manages Hadoop with Tableau

Fog computing has the potential to resolve the issues with network latency since the media rich content can be delivered through such nodes directly.

Fog Computing inside the mobile network providers opens up a window of revenue opportunities for MNO's and creates a innovative space in content & application delivery platform.

Join this webinar to learn how to tackle the different challenges with fog computing and its role in the IoT cycle.

In this talk, Ram will provide a unified framework for Internet of Things, Cyber-Physical Systems, and Smart Networked Systems and Societies, and then discuss the role of ontologies for interoperability.

The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. These networks are currently being extended to have significant sensing capabilities, with the evolution of the Internet of Things (IoT). With additional control, we are entering the era of Cyber-physical Systems (CPS). In the near future, the networks will go beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks.

This paradigm shift will involve symbiotic networks of people (social networks), smart devices, and smartphones or mobile personal computing and communication devices that will form smart net-centric systems and societies (SNSS) or Internet of Everything. These devices – and the network -- will be constantly sensing, monitoring, interpreting, and controlling the environment.

A key technical challenge for realizing SNSS/IoE is that the network consists of things (both devices & humans) which are heterogeneous, yet need to be interoperable. In other words, devices and people need to interoperate in a seamless manner. This requires the development of standard terminologies (or ontologies) which capture the meaning and relations of objects and events. Creating and testing such terminologies will aid in effective recognition and reaction in a network-centric situation awareness environment.

Before joining the Software and Systems Division (his current position), Ram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Lab, where he conducted research on standards for interoperability of computer-aided design systems.

We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives.

In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.

Dr Fahim Kawsar leads the Internet of Things research at Bell Labs and holds a Design United Professorship at TU Delft. His current research explores novel algorithms and system design techniques to build transformative multi-sensory systems for disruptive mobile, wearable and IoT services. He borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to drive his research. He is a frequent keynote, panel and tutorial speaker, hold 15+ patents, organised and chaired numerous conferences, (co-)authored 100+ publications and had projects commissioned. He is a former Microsoft Research Fellow and has worked before at Nokia Research, and Lancaster University. His work and publications can be viewed at http://www.fahim-kawsar.net.

BigData requires processing performance but even more it requires agility of your cloud analytics. Iver will demonstrate how today's SAP BusinessObjects Cloud has leading capabilities when used in a highly complex and dynamic environment accessing extreme data volumes.

Do you want to get actual knowledge from your data, to understand it and to predict what will happen next? We will see what it takes from the device to the dashboard.

In this webinar, we will discuss:
- Use cases of IoT Analytics in different areas.
- Architectural components & strategy required for a complete IoT solution.
- Application Example.

Big data analytics is undoubtedly one of the most exciting areas in computing today, and remains an area of fast evolution. Thanks to the data deluge from millions of sensors from IoT networks, it is humanly impossible to analyse and make sense of the data from sensors without analytics tools and processes.

In this webinar, we will go over basics of big-data analytics, how analytics is different from traditional data warehouses or business intelligence systems, different tiers of data analytics etc., We will also see different use-cases of IoT from Smart Home to Transporation to Smart City context and how analytics can be applied for various use-cases for actionable insights.

Webinar also briefly touches upon machine learning tools / techniques that are available as-a-service on cloud today.

Apache Zeppelin is a great entry point for Data Scientist to explore and model Data.

In an enterprise environment, this exploration tool can be used to assemble pipeline of notes and deploy them in a production system.

In this webinar, you will learn how to:

+ Create functional notes corresponding to each step of the analysis.
+ Call a note from another note.
+ Pipe multiple notes together.
+ Create a deployable unit and run this unit on a remote cluster

Join us to learn about JupyterLab, the new open source computational environment for Jupyter. Increase the performance of your data science projects by working in an integrated environment for your notebooks, editor, terminal and console. We will also discuss R-Brain cloud platform and its new R Python Cloud IDE which is built on JupyterLab.

David is a 22-time serial entrepreneur with 20 years in Silicon Valley and 13 years in New York City starting companies. He has written five books about the web and business. He's an expert in corporate culture, collaboration, innovation, design, typography, data, blockchain, crypto-investing, venture/angel investing, management, business, decentralization, macro economics, and dark chocolate. You can read some of his key essays here:

www.theculturedeck.com
www.globalbetaventures.com
www.openstanford.com
www.decentralstation.com
www.2030.io

David is currently starting 20|30, an open platform for blockchain innovation. This is an ask-me-anything format with people typing in questions and david answering. He'll talk about current events in the world of blockchain and innovation, tell stories of working at Pixar, his new token offering, his new legal project, and you never know what will happen, so join the fun on June 1st!

Ask David your most challenging business question - he's happy to offer suggestions.