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

In a whirlwind of big data tools like MapReduce, NoSQL, Hadoop, and their cousins and brothers, it’s difficult to understand the stack you need to make your data as useful as possible. How do you decide which tools to use, and once you do decide, how do you make the jump?

Join this roundtable led by big data infrastructure experts to:
*Understand the ingredients of a modern data infrastructure
*Learn how to assess your needs
*Make a blueprint for building a modern data architecture that works for you

Recorded Aug 21 2013 60 mins

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Presented by
Jeffrey Kelly, Wikibon; Joey Jablonski, Kitenga; Christopher Biow, 10gen; Ron Bodkin, Think Big Analytics; John Akred, SVDS

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

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Business Intelligence and Analytics

Cloud Customer Architecture for Big Data and Analytics Dec 7 2016 7:00 pm UTC 60 mins

Heather Kreger, Gopal Indurkhya, Manav Gupta, Christine Ouyang from the Cloud Standards Customer Council

Using analytics reveals patterns, trends and associations in data that help an organization understand the behavior of the people and systems that drive its operation. Big data technology increases the amount and variety of data that can be processed by analytics, providing a foundation for visualizations and insights that can significantly improve business operations.

In this webinar, the Cloud Standards Customer Council will discuss how to support big data and analytics capabilities using cloud computing. The speakers will walk through a cloud reference architecture and cover the various considerations and best practices for building big data and analytics solutions in the cloud.

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Coding the Future of FinTech with Smart APIs and Financial Data Oct 20 2016 2:00 pm UTC 60 mins

Lars Markull (Figo), Bharat Bhushan (IBM), Giles Sutherland (Carta Worldwide), Stephane Dubois (Xignite)

Financial data is both the most intimate and most powerful data we have about ourselves. Financial data should not kept in a silo but openly available to third parties, -- this is required for true innovation. However, security and data protection are crucial. Banks and third party providers have to work together to provide the infrastructure required to innovate.

Join this webinar where we will discuss:
-The power of APIs -- how to integrate banking data and financial sources quickly and easily
-What developers need to know about banking APIs and how to foster new services in the FinTech space
-PSD2 Post-Brexit -- what now?
-Will traditional banks be replaced by FinTech banks one day?
-Which is the biggest challenge: market education, technical issues, or regulation?

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Practical Data Cleaning Oct 13 2016 3:00 pm UTC 60 mins

Lee Baker, CEO, Chi-Squared Innovations

The basics of data cleaning are remarkably simple, yet few take the time to get organized from the start.

If you want to get the most out of your data, you're going to need to treat it with respect, and by getting prepared and following a few simple rules your data cleaning processes can be simple, fast and effective.

The Practical Data Cleaning webinar is a thorough introduction to the basics of data cleaning and takes you through:

• Data Collection
• Data Cleaning
• Data Classification
• Data Integrity
• Working Smarter, Not Harder

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Driving change across Lloyds Bank through collaborative dashboards Oct 13 2016 1:00 pm UTC 45 mins

Harmeen Birk, Director; Hristiyan Nedkov, Business Analyst, Tableau

The world of commercial banking moves swiftly. B2B clients have complex needs and offer great opportunity for banks who can move fast, resolve queries quickly and provide a premium service. If relationship managers aren’t anticipating and responding to their client’s every need then business can easily be taken elsewhere. However, with hundreds of clients to manage at once, it is often impossible to keep them all happy.

For one of the largest commercial banks in the UK, Tableau provided the perfect solution to create client dashboards to help relationship managers, product partners, and service and operational staff to all easily access and take action on client feedback, review product opportunities and keep up to date with client industry news.

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Big Bang Data: Best Practices in proper data profiling, modelling & transforming Oct 12 2016 2:00 pm UTC 45 mins

Milan Veverka, Partner, Keboola

It’s the Big Bang of big data; or where it all begins. The foundational first step in data analysis is data preparation. With the potential to derail everything that supersedes it, it’s imperative that the right measures are taken far in advance of any discovery analysis.

Join these discussions to learn best practices in proper data profiling, modeling, transformations and normalization for all data sets.

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3 Data-driven Ways To Power Marketing Campaigns Sep 28 2016 5:00 pm UTC 45 mins

Adam Corey, VP Marketing, Tealium

It's no secret that brands today are investing more money than ever in marketing technologies to gain better insight into customer preferences and behavior. We rely heavily on these systems to collect data and deliver the best experience for engaging and converting visitors. However, when this data isn’t shared between your vendors, you may be overlooking a big opportunity to maximize return on your investments.

This webinar will explore 3 ways to power intelligent marketing campaigns by leveraging real-time data you already have, as well as examine a more practical take on how to extract value from connecting data across your entire technology stack, allowing more timely, relevant, and meaningful interactions with the customer.

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Data Visualization: Best Practice Tips for Improving Personal Finance Recorded: Sep 22 2016 58 mins

Ina Yulo (BrightTALK), Steve Tigar (Money Dashboard), Dan Scholey (Moneyhub)

Data visualisation is a discipline that uses graphs and charts to easily communicate large chunks of data into easily digestible formats.

When it comes to personal finance, data visualization has been used to create useful dashboards where users can keep track of their spending, income, and budgeting.

Join this session where we will discuss:

-Why is data visualization so useful when it comes to personal finance?
-What are the best data viz tools/apps for personal finance?
-What are customers missing from banks that personal finance fintechs are able to provide?
-What are the best practice tips for using dashboards and apps to improve personal finance?
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-What are some common misconceptions of data visualization?

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5 Steps to Building Your Data Governance Plan Recorded: Sep 21 2016 45 mins

Chris Slovak & Maltie Maraj, Tealium

Three-quarters of Americans believe that control over their personal data is very important, but only 9% believe they have this control. Up until now, data governance and protection have been a low priority for brands, but the long-term impact of a data breach can lead to a loss of consumer confidence – not to mention massive financial implications. How do you balance the opportunity to provide the best customer experience with the increasing responsibilities in data privacy and security?

In this webinar, we’ll discuss five industry best practices for building an effective data governance plan. From the vendors you choose to work with, to the policies and practices in place today, learn how to make sense of the current legal landscape and how Tealium’s solutions allow you to provide these safeguards to your customers.

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Omni-channel self service BI Recorded: Sep 15 2016 49 mins

Ronald van Loon, Director Business Development, Adversitement

Many companies nowadays run their business through multiple channels. So to get insight into customer behavior they may perceive a need to focus on creating an omni-channel view. Obviously this is primarily on data collection, but using the data for visualization and analytics is that important.
It will facilitate use of BI tools by stakeholders to get the right insights. But are all tools suitable for all people, what are best practices and how to organize your teams to get best results?

In this webinar, Ronald van Loon will:
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Truth or Dare: Real World Applications of Predictive Analytics Recorded: Sep 15 2016 35 mins

Jamie Turner, CTO, PCA Predict & Triggar

What’s the truth about using predictive analytics – the possibilities and reality; and dare you use it? Do you have the technical ability to implement it, and the tools to do something in response to the predictions?

In this webinar we’ll look at the full spectrum of technology and benefits, then tear it down into something we can actually use now, that’s not scary and delivers measurable value to you and your customers.

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Self-service BI for SAP and HANA – Dream or Reality? Recorded: Sep 14 2016 48 mins

Swen Conrad, CEO, Ocean9

Gartner predicts that “analytics will be pervasive … for decisions and actions across the business.” Sounds like analytics nirvana with instant access for any analysis you want to do, in other words self-service BI. Is this dream or reality?

Join this webinar to find out how clouds like AWS or Azure are moving the industry close to this nirvana today through simple assembly of cloud services combined with the appropriate consumption model of these services.

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Maybe we are closer to this nirvana than you think?

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Old. vs. New Trends in Data Analytics Recorded: Sep 14 2016 49 mins

Ani Manian, Head of Product Strategy, Sisense

The “Old” world of BI, with its IT centric solutions, OLAP based reporting, and limited ad-hoc querying, has a lot of shortcomings that inhibit self-service BI. Yet, with increasing data complexity has come a new age of BI that is focused on taking strides to provide faster, more data driven and integrated solutions to try and empower the business user.

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Ina Yulo, Tom Berthon (Senior Product Owner, Growth team), Kathryn Birch (Customer Success Manager), BrightTALK

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Join this session where we will discuss:
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Using Virtual and Augmented Reality as Data Visualisation Environments Recorded: Sep 14 2016 45 mins

David Burden - CEO, Daden Limited, an immersive learning and visualisation company

There are a number of exciting ways in which Virtual and Augmented Reality can be used to visualise data.

This presentation will look at 3 main approaches - the "virtual command centre", the "data space" and "annotated reality", and consider the pros and cons of each, and how they could be used with the current generation of VR/AR headsets, and how such systems may develop in the future.

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BI & Self-Service Analytics Recorded: Sep 14 2016 41 mins

Anoop Odedra, Managing Director, Promatix Ltd

With today’s advancements in data discovery and data visualization, not everyone needs to have a degree in data analytics to navigate business-critical data on their own. However, creating and implementing self-service analytics is no easy task.

Join us to learn about one of the many tools available to help your organisation put the analytical power into the hands of the business experts on the ground.

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Analytics Suite for Data Accuracy and Privacy. Off-the-Shelf or Build Your Own? Recorded: Sep 7 2016 39 mins

Maciej Zawadziński, CEO, Piwik PRO

Join this webinar where we will cover some of the features and ideas for ensuring data accuracy, which is vital for business users. We will also discuss the forthcoming EU privacy regulations and how to make sure your setup is ready for this shift (GDPR comes into force in 2018).

Finally, we will present some ideas on whether to use a ready off-the-shelf solution or invest in creating your own. Its seems that the whole build vs rent discussion has reached the tipping point this year and there may be some surprising answers.

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The Role of FPGAs in SparK Accelerators Recorded: Aug 29 2016 61 mins

Shreyas Shah, Principal Data center Architect, Xilinx

In the cloud computing era, data growth is exponential. Every day billions of photos are shared and large amount of new data created in multiple formats. Within this cloud of data, the relevant data with real monetary value is small. To extract the valuable data, big data analytics frame works like SparK is used. This can run on top of a variety of file systems and data bases. To accelerate the SparK by 10-1000x, customers are creating solutions like log file accelerators, storage layer accelerators, MLLIB (One of the SparK library) accelerators, and SQL accelerators etc.

FPGAs (Field Programmable Gate Arrays) are the ideal fit for these type of accelerators where the workloads are constantly changing. For example, they can accelerate different algorithms on different data based on end users and the time of the day, but keep the same hardware.

This webinar will describe the role of FPGAs in SparK accelerators and give SparK accelerator use cases.

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Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes Recorded: Aug 24 2016 56 mins

Kurt Jackson, Platform Lead, Autodesk

A Case Study presented by Kurt Jackson, Platform Lead, Autodesk

Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.

In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.

Logical data warehouse / data lake is a virtual abstraction layer over the physical data warehouse, big data repositories, cloud, and other enterprise applications. It unifies both structured and unstructured data in real-time to power analytical and operational use cases.

Attend and Learn:

-Why logical data warehouse/ data lakes are the bedrock of modern data architecture
-How you can build a logical data warehouse using data virtualization
-How to create a single, unified enterprise-wide access and governance point for any data used within the company

Become a fast data strategy expert in one hour!

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Separating the Myths from the Truths in Data Visualisation Recorded: Aug 11 2016 45 mins

Andy Kirk, Data Visualization specialist and Editor, VisualisingData.com

In this talk Andy Kirk will shine a light on some of the most discussed and debated aspects of data visualisation design. The aim of the talk is to expose some of the myths about data visualisation and reinforce some of the truths in order to offer practitioners, professionals and part-time enthusiasts alike greater clarity about this increasingly popular discipline.

Viewers will come away with a greater understanding of the rights and the wrongs in data visualisation as well as an awareness of the aspects of this activity that must remain tagged with the elusive notion of ‘it depends’. Along the way Andy will exhibit some of the best examples and techniques from across the field.

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Why Governed Data Discovery? Recorded: Aug 10 2016 45 mins

Chris Banks, Senior Director, WebFOCUS

Everyone loves to visualize data, but sometimes data visualizations are the wrong tools for the job. Learn to avoid common pitfalls and see how to make fast, easy, and accurate data visualizations part of your analytics mix, so everyone can make informed decisions.

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Managing and analyzing data to inform business decisions

Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource.

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