Name: Establishing An Enterprise Data Marketplace to Shop for Data as a Service
Start: 2020-12-09T14:00:00Z
End: 2020-12-09T14:01:02.000Z
Location: BrightTALK
Rating: 4.8

Our webinar broadcasts offer up-to-the-minute information and debate direct to your device on a number of different data topics.
Each webinar is a mixture of presentations, discussions, demos and industry updates designed to bring our community together, making sure we stay informed and engaged, something particularly pertinent at present.

Event Driven becomes more mainstream as businesses want to make the most out of their data - the quicker you process data/events the more value they can get from data.
However event driven technologies can be hard to use - developers used to the world of  synchronous APIs struggle with the event driven paradigm, there are a plethora of protocols and technologies to consider.
In the webinar we discuss how to make event driven easy to adopt by citizen integrators and developers - as IPaaS vendors integrate Event Driven and a new wave of Async APIs is enhancing the API first approach.

How Event Driven is going mainstream with APIs and iPaaS

Join Corey Prowse from Citigroup and discover how Citi architected a Market Data System (Scala, Java, TypeScript) storing billions of data points , scaling up to over a thousand concurrent connections within an Agile DevOps environment.

Challenge:
Manage billions of data points on a timeline of around 20 years
Support queries that return within milliseconds that are either single data point in time, a sequential block of time, or “walk” the timeline in a pattern
Provide real-time calculations and enrichment during queries
Deliver response times less than 100ms
Can scale up to high number of concurrent queries

Technical solution/architecture:
Reactive Streams technology that integrates with Couchbase NoSQL reactive technologies
JSON-specific optimizations

Streams in space and time - Technology at Citi Investment Strategies.

Is data a commodity in your organisation? Ten out of 10 times, the answer is yes!

To empower the data that matters the most -- having the right data from multiple sources in real time to deliver a personalized one-of a kind experience to your customers is key.

Join DataStax's Data Architect Michel De Ru to learn about:

- Incidental event-driven architecture
- Priorities to increase the data advantage
- Real life examples how you can take your data to the next level, in real time to differentiate your customers experience.

Speakers:
Michel De Ru, Data Architect at DataStax 
Andy Steed, Content Director, Big Data LDN

Power up your databases: Take data to the next level in real-time

Data Observability (DO) is an emerging category that helps data teams identify, resolve, and prevent data quality issues by continuously monitoring the state of their data over time. This webinar covers how DO emerged within modern data teams, and then how you can implement it in practice today.

In the first part, we’ll take a deep dive into data observability as a concept, starting from its historical origins (why it matters), defining the scope and components of DO (what it is), and wrapping up with actionable advice for putting observability into practice (how to do it).

After we establish a firm grasp of DO, we’ll walk through a demo of Metaplane, the only self-serve, developer-first DO platform. We’ll demonstrate how you can connect your data stack in less than 10 minutes, so that your team is the first to know of data quality issues — before your CMO pings you about a broken dashboard.

Speakers: 
Kevin Hu, Co-founder, Metaplane
Andy Steed, Content Director, Big Data LDN

Data Observability: From 1788 to 2032

When it comes to data analytics infrastructure, there are a wealth of options for storing and querying information. New technological approaches allow for more flexibility in cloud data management and are democratizing data for use across the organization. By stripping away data engineering complexity and lowering total cost of infrastructure ownership and maintenance, more and more organizations are unlocking the value of analytics at scale.

Even so, new terminology and overlapping functionality within different cloud data platforms can make the landscape difficult to navigate. In this session, we’ll dive into the latest approaches to analytics at scale and demystify them, so you can determine which is right for your organisation.

You’ll learn: 
● Key features, pros and cons associated with the data lake, lakehouse and mesh
● Where and how these modern approaches can coexist
● Questions you should ask to guide your organization’s data platform evaluation 

Speakers: 
● Kevin Petrie, VP of Research, Eckerson Group
● George Hamilton, Director of Product Marketing, ChaosSearch
● Andy Steed, Content Director, Big Data LDN

How to Choose: Data Lake, Lakehouse, or Mesh?

Recently there has been a great deal of discussion regarding data democratisation, in particular the role it plays in creating and maintaining a data driven culture. In this webinar we explore the best strategies to delivering self-serve analytics in a controlled manner and the role data literacy plays in data-democratisation.

Speakers: 
Niamh O'Brien, Manager, Solution Architecture, Fivetran
Andy Steed, Content Director, Big Data LDN

How to balance data accessibility while maintaining privacy

Scalability and Cloud Native have driven the demand for Kubernetes, but the developer now has the harder task of building applications in a secure manner. This talk will focus on best practices for implementing least privilege and enforcing zero trust principles within Kubernetes clusters. A how-to for implementing robust Role Based Access Control (RBAC) tied into the corporate SSO/Identity provider using Teleport.

Speakers:
Jonathon Canada, Solutions Engineer - Teleport
Andy Steed, Content Director - Big Data LDN

Applying Least Privilege in Kubernetes

The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.

Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.

In this webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.

Speakers: 
Jonathan Robson, Account Director at Precisely
Jean-Paul Otte, Group Chief Data Officer at Degroof Petercam
Andy Steed, Content Director at Big Data LDN

Linking Data Governance to Business Goals

With customer experience as a key element in harnessing loyalty to brands, businesses are riding the waves of digital transformation to making the most of data in supporting their customer experience strategies. This expands to another world of available information, however, businesses must act to eliminate silos and create effective channels of communication - or risk missing out on critical intelligence about their customers and operations.

In this session, we will discuss how to:
• How to make the most of an increasingly comprehensive insights from an ever-growing data pool spanning the entire organisation
• What are the blind spots that hinder an efficient CX strategy and the creation of a truly holistic view of customers
•	Use data as a connector to bring disparate parts of businesses together to earn loyalty by providing a frictionless CX and pre-empting customer needs

Speakers: 
Neill Brookman, Director of Solution Engineering, EMEA - Treasure Data
Andy Steed, Content Director - Big Data LDN

Spotting Data Blindspots: The Key to Enabling a Quality Customer Experience

What is Data Mesh? Join Starburst for a 30 minute introduction into this modern approach to managing analytics at scale. Data Mesh embraces decentralisation over-centralisation, meaning it allows companies to become more efficient in accessing and exploiting data as a core architectural approach. Learn more about the guiding principles with Andy Mott, Lead Solution Architect - Data Mesh, at Starburst.

Data Mesh 101: What it is & why you need it?

The past two years have changed more than where we go to eat; enterprise infrastructure has taken a massive leap forward as companies have front-loaded investment in order to be able to provide the infrastructure their employees and customers need, but there are still challenges. Some of those challenges arose because companies moved before they were ready, and some arose because they tried to move faster than they reasonably could.

In the end you have overwhelmed teams that are so busy trying to keep up with  infrastructure that they don't have time to innovate where they should -- creating value for your customers.

In either case, it's time to take stock and make sure that you've hyperscaled your data centre in the smartest, most efficient way possible -- preferably with a guaranteed outcome that will bring you where you need to go.

In this webinar, Mirantis Principle Solution Architect Daniel Virassamy helps you take a step back and make sure you're on the right track to hyperscaling your data centre properly. He'll discuss:

• Hyperscaling in a post-pandemic world
• Challenges of running an efficient data centre, such as cost and data management over multiple clouds
•	Strategies for optimizing your on-premise infrastructure
•	How to free up your development teams to innovate for your customers

Join us on 14th December and make sure you get the data centre outcome you’re shooting for.


Speakers: Daniel Virassamy & Andy Steed

Hyperscale your Data Center with Guaranteed Outcomes

An investment in data & analytics has the potential to deliver significant value to the business. However, there can be pitfalls when selecting the right initiatives to focus on, with the knowledge gap between data and business teams creating barriers around collaboration. In this webinar, we will look at the role of data domains, supported by data & literacy, to create bridges between business ambition and your data investment. Supported by case studies drawn from over 20 years of commercial data science experience, we will suggest a framework and approach for identifying, evaluating and prioritising high-impact initiatives to build momentum around a data-led transformation.    Speakers: Gabe Musker, Data Consultant, Mango Solutions | Andy Steed, Content Director, Big Data LDN

Fantastic Data Initiatives & Where To Find Them

In our November Webinar titled “How to Make the Most of Data Governance” an expert panel will discuss how a proactive Data Governance strategy can be used an enabler for Data Teams by removing barriers to and silos. The panel will also give their tips and tricks to help your organisation create a Data Governance programme that suits your business and answer any questions you have about Data Governance in general.  

Speakers: Sam Gillespie, Offering Manager, OneTrust | Andy Steed, Big Data LDN | Nicola Askham, The Data Governance Coach | Helen Cullis, Data Governance Lead, Monzo

Make the most of Data Governance

Shifts in consumer expectation means B2C brands are looking for ways to take advantage of the host of benefits that leveraging customer data can bring to their marketing including driving personalisation, insight and true omnichannel customer experience. Customer Data Platforms (CDP’s) are a technology layer that enables organisations to reach these goals and whilst CDP’s are a key centre-piece for a sound Martech stack investment and strategy, there are also other factors including interoperability, training, culture, resource amongst others that ultimately affect the ability for brands to extract the most value from the solution. For greater success in the future, it is critical that brands ensure their Martech stack can effectively identify prospects in the early stage of the sales cycle, prior to landing on owned media channels, by taking ownership of their first party data and developing the ability to measure acquisition across media in the cookieless world. Join David Keens, Vice President of Product at Acxiom EMEA & Diran George, Senior Solutions Consultant at Treasure Data to discover how brands can implement a best in class end-to-end acquisition solution across strategy, analytics and technology to deliver customer experience beyond imagination.

Future-proofing end to end people based marketing

In today’s world, the products that win are the ones that create the best experiences for customers. The previous marker for product success was simply functionality: 'It works'. But with millions of products available today, it’s not enough for a product to just work. Digital Product Analytics is what brings your business to the next level. During this webinar you will hear from Nutmeg how they use data to build great digital product experiences.

We will discuss:
- Why Digital Product Analytics is imperative to growth in today's digital-first world
- Advice from expert teams solving business problems through real-time customer insights
- Real-life examples on how Digital Product Analytics can help you deliver a better customer experience

Speakers:
-Chris Bown, Country Manager (UKI & Nordics), Amplitude
-Max Rae, Head of Product, Nutmeg
-Andy Steed, Big Data LDN

How Nutmeg uses Digital Product Analytics to grow & retain customers

Harnessing the power of real time processing for personalised customer comms In this talk Chirag and James will look at a real-world example of, how moving to a Kafka backed streaming architecture CTM, has greatly improved the way the business communicates with its' customers.
•	Chirag will give an overview how we are using customer data to communicate to customers using the latest & greatest understanding of the customer, in order for CTM to give the most relevant and contextual experience for long term customer retention.
•	James will look in more detail at how observability and testing are keys to developing stable, reliable and scalable real time streaming micro-services.

Harnessing the power of real time processing for personalised customer comms

Wherever you look, the consumer market is highly competitive: customers are strongly influenced by their experience with a brand, and as such their expectations of a seamless, personalised buying journey are higher than ever. On every step in the customer journey, companies collect data, but what stories do those data tell about their behaviour, experience and trust? How much value can you add to a buying experience through data? Are you able to predict, or even anticipate your customers’ needs? Can you use data to inspire loyalty in your customers?

In this webinar, Neill Brookman will discuss from a technical perspective how businesses can use all their data sources to :
	
-Build a unique, 360° view of each customer
-Cultivate trust and continued brand loyalty through real-time personalisation
-Optimise conversion and reduce churn by understanding and anticipating customer needs
-Add value to both brand and customer in every interaction

Speakers: Neill Brookman, Director of Solutions Engineering, Treasure Data | Andy Steed, Big Data LDN

Data: The key to brand loyalty via seamlessly personalised customer experience

One of the highest priorities in organisations today is to address the issue of untrusted data which leads to inaccurate predictions, recommendations, reports and dashboards.  In order to solve this, many companies are looking at creating a standard data curation process to create trusted data assets and make them available services in an enterprise data marketplace so that it is easy to find, access, share and reuse across the enterprise. This session looks at building an enterprise data marketplace, the key technologies needed and the challenges in operating one. 
•	The problem of untrusted data
•	What’s needed? - Findable, accessible, reusable and trusted ready-made data assets 
•	Manufacturing ready-made data assets - from data lake to enterprise data marketplace
•	What is an enterprise data marketplace? – A new role for a Data Catalog
•	What types of data and analytical assets should you expect to see in one? 
•	How should an enterprise data marketplace function?
•	What is needed to operate a data marketplace in terms of people, processes and technologies? 
•	Why is data virtualisation critical to serving up trusted data assets from a data marketplace 
•	Maximising reuse by integrating self-service BI tools and Data Science workbenches with the marketplace

Establishing An Enterprise Data Marketplace to Shop for Data as a Service

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Establishing An Enterprise Data Marketplace to Shop for Data as a Service

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