The 4th Industrial Revolution Report is Independent research, commissioned by Big Data LDN that collates the opinions of 500 of the UK’s most influential data leaders. In this webinar we take a first look at this year's results and discuss their implications with members of our steering committee who helped to shape the survey.

Abhas Ricky, VP Business & Cloud Transformation at Cloudera, Andy Steed, Content Director at Big Data LDN and Paul Maher, Founder & CEO at Positive Marketing will discuss the 2020 report.

As stricter data laws are enacted across the globe and consumers exercise new privacy rights over their data, it’s more crucial than ever to find the best ways to find, manage, query, and action data. In this session, we’ll share tips on how to manage data in the organization, and how data discovery can help with compliance.
• Understand how to know where data lives within and outside of your organization
• Learn the security, governance, and compliance considerations for collecting, securing, and managing data
• See how data discovery can help with broader data governance

Modern businesses seeking a competitive advantage must harness their data to gain better business insights. When it comes to loading, transforming, and analysing data, the cloud changes everything. ELT is a fundamentally different approach to pre-processing data, in terms not only of architecture but philosophy as well. Today, as much data, from as many sources as possible, needs to be integrated into analyses. ELT leverages the power of the cloud and the data warehouse platform itself, to do data transformation at scale. Learn how moving from traditional ETL to cloud ELT can help you keep up with exploding data volumes, reduce coding and resource management efforts and help you become more data-driven.

This session looks at the emergence of Enterprise Data Fabric and its role in a modern enterprise. It firstly defines what enterprise data fabric is and why it has become strategically important in a multi-cloud hybrid computing environment. It also looks at the component capabilities that enable it and how these fit together to help connect to, simplify access, manage, govern and orchestrate the ingestion, discovery, cataloguing, cleansing, transformation, integration and analysis of data in a distributed computing environment. Finally it looks at data virtualisation and why it is a critical part of an enterprise data fabric solution.

In this panel debate 4 data leaders will be discussing the best ways to create a data driven culture. The panel will give tips on curating a Data Driven Culture, how to drive ROI and practical steps on getting started.
Speakers:
1) Zara Wells, Head of Data Culture and Transformation Programs at Looker @ Google Cloud
2) Alex James, Sr. Director EMEA Customer Success at Fivetran
3) Marco Tranquilin, EMEA CE Practice Lead, Data Analytics at Google
4) Andy Steed, Content Director at Big Data LDN

One of London’s leading airport’s Tableau journey.
Gatwick Airport struggled to create and access curated datasets at the right breadth and depth, not only for exploitation but also for reproducing management information that could easily be shared at scale. In the airport industry, spatial data is widely used to uncover new business opportunities but again the analyst community lacked the capability to meet this requirement. By deploying Tableau across the landscape, it has enabled Analysts to provision and prepare datasets for on-off and repeatable analysis for various use cases. In this session, Shariq will provide insight on the implementation journey so far and strategy for adoption that led to Tableau becoming the tool of choice.

The Big Data LDN Data Transformation Webinar Series showcases companies who have undergone a transformative business journey fueled by data. The format usually consists of a 15-20 minute presentation from the company explaining the business context of the transformation, the need for change, barriers and how they were overcome and finally why the project was deemed successful. Following this we would have a 15-20 presentation from the software partner(s) who helped enable the journey and we’d finish with 15 mins of Q&A from the audience.

In this webinar, titled Working Smarter using Data, we will be talking to Will Huntoon from Papier, the online gift retailer, about his Data Transformation story.

Speakers: Will Huntoon, Papier, Andy Steed Big Data LDN

As we return to work, it’s more important than ever that we make data-driven decisions to ensure the safety of our employees and are making the most of the abundance of public-facing data.
In this demo, we’ll be using Tableau to centralise and relate multiple datasets. By associating our corporate data with public data, we can come to a wholistic view of our current situation and judge next best steps to take to so that our workforce can return to the office safely.

Speaker: JP King, Solutions Engineer, Tableau
Bio: JP is a Solution Engineer at Tableau based in their London office. He is responsible for helping their customers get started with Tableau so they can see and understand their data.

Most commentators agree that migrating legacy data infrastructure, such as data warehousing, integration and transformation, into modern cloud-based architectures will significantly benefit both business and IT stakeholders. Many projects, however, fail to secure funding because their time to value is too long or uncertain.

This session outlines a business-centric approach to migrating to cloud-based data architectures which delivers stakeholder value 3 to 6 times faster than most alternatives, whilst significantly increasing the ability to make self-service, data-driven decisions and expand into areas such as advanced analytics. The approach itself is not tied to a specific technology stack but we will outline technologies that make this easier to achieve.
The result is happy, enabled business stakeholders who regard IT as a business enabler, not a bottleneck.

Join us for this webinar about graphs and how you can benefit from better insights in these uncertain times.

We will start by presenting how graphs can power the contract tracing use case that is so relevant in the battle against the COVID-19 pandemic. However, we will not stop there: we will focus on what can be learnt from this use case in other environments, and introduce the power of connected data to any kind of business.
Finally the discussion will aim to follow current hot trends like AI, recommendations, data science or fraud detection which are all dependent on an increasing understanding of the connectedness in our data.

As data sources continue to grow, so does the desire to pull them all together. From Customer Experience Directors to Inventory Managers, the fabled single view has been top-of-mind for anyone yearning to gain a complete, unified, at a glance picture.

Achieving it, however, has been a different story.

The traditional method of data integration through ETL is a mammoth effort requiring time, high costs and specialised IT skills. Moreover, it is inadequate to deliver timely results with the exponential growth in the volume and velocity of data.

That is until now...

Join experts from Triangle Information Management and Denodo, the leader in data virtualisation, as they share valuable insight and real-life examples of how you can achieve a single view of anything - inside of days, not years.

This 60-minute webinar, brought to you in association with WhereScape, will be split into 2 sections. The first 30 minutes features stories from the real-life projects, as Simon Meacher of Engaging Data tells us how he used Data Warehouse Automation to solve problems as a consultant at a variety of UK organisations. Then we see a live demo of the software in action, as we attempt to build a Cloud Data Warehouse in just 15 minutes.

The WhereScape community is seeing huge leaps in agility and productivity, as teams combine the gains provided by Data Warehouse Automation tools and Cloud computing.
Benefits include:
-Savings in money and resources on data projects
-Individual developers spending less time crafting bespoke data infrastructure and more time on delivery
-Standardised procedures and adoption of best-practice templates that democratise the data warehouse

No matter deep and robust your data platforms and your analyses are, if you can’t design effective, insightful charts that monitor or inform, your investment is wasted. Design thinking is an under-rated but absolutely necessary skill for modern teams. In this talk Andy Cotgreave will share theories and principles from the world of design, and explain how you, or your teams, should be applying them to data displays.

Andy Cotgreave is co-author of The Big Book of Dashboards, Technical Evangelist at Tableau, and host of If Data Could Talk. He has over 10 years’ experience in data visualization and business intelligence, first honing his skills as an analyst at the University of Oxford.

This presentation looks at how you can use cloud storage as a centralised data lake, load raw data into it, produce trusted data using scalable ELT processing, and then make trusted data available to:
• Data scientists to develop machine learning models
• Your cloud based data warehouse for access by business analysts using traditional BI tools
In addition it shows how business analysts can access trusted data directly in a data lake from external tables in a cloud based data warehouse or by querying the data directly from BI tools.

Talk 1: Learn how Punchh harnesses AI & Data Analytics to enable data-driven, AI powered customer experiences & customer lifetime value. The Punchh Loyalty and Engagement Platform, powered through artificial intelligence, guides consumers through their lifecycle from first-time customer to superfan, building meaningful relationships and dramatically increasing lifetime customer value.

Talk 2: There are many layers in a modern cloud data architecture, but two layers stand out because they determine success or failure: the cloud data platform and cloud data integration. Databricks & Fivetran partner to help data teams automate the integration of modern data sources to build operational analytics and machine learning applications.

In this Big Data LDN webinar we are looking at different approaches to Data Governance, a subject that has been brought into sharper focus in recent times.

Talk 1 - Nicola Askham. Minimal Data Governance: Demand for Data Governance is growing but in the current circumstances many people are being asked to implement Data Governance with little or no investment. In this talk we find out whether Data Governance on a shoestring can be effective and how you should go about it.

Talk 2 - Discussion with Tariq Bhatti, The Nursing and Midwifery Council

In this webinar, we will give an introduction into stateful stream processing with Apache Flink and show how it can enable you to build real-time, event driven applications. We will take you through the journey of enabling customer 360 / personalisation applications and building a dynamic fraud detection engine. We will present a few techniques and tips to use with Flink and elaborate on why Apache Flink is the perfect tool for these use cases. We will continue this journey by looking at what is needed to deploy a Flink application on the road to production, as well as updating on the recently released community edition of Ververica Platform.

Speakers: Nico Kruber, Ververica and Andy Steed, Big Data LDN

Alicia Frame, Lead Product Manager for Data Science at Neo4j, will demonstrate the value of connected data for improving your data science and analytics applications. We'll walk through valuable use cases for graphs in data science, and then getting started using a knowledge graph, to using graph algorithms.
Following this, Matthew Sellwood, currently a Product Manager for IQVIA, will share an open source project that makes use of the graph data science library for lead optimisation of molecules in drug discovery.

Migrating RDBMS Monoliths Into a Transformational Data Architecture.

In this webinar, part of our Technology Modernisation Series, we are looking at the business case for upgrading your RDBMS to a more current data architecture so as to meet the demands of modern applications. We’re delighted to be joined by Ankit Patel, Principle Architect, Datastax and Giuliano Altamura, Financial Services Business Unit Manager at Fincons Group.

Talk 1: Migrating RDBMS Monoliths Into a Transformational Data Architecture.
Talk 2: A series of real-life use cases of the technology from the financial sector.

Whether you are looking to establish a hybrid big data architecture with Cloudera Data Platform or looking at Databricks, Google Cloud Platform & Amazon EMR; this session provides practical insights on how to understand the pros and cons of each model and the risks involved regardless of public cloud vendors. Join Chris Santiago as he shares how a data driven approach can guide you in deciding which big data technologies will best fit the needs unique to your organisation and budget.
Speaker: Chris Santiago, Global Solution Engineering Manager, Unravel Data

In our next webinar we are joined by Jason Foster, CEO and Founder of Cynozure and Barry Green, CDO at Allianz where they will be discussing best practice on how to build an agile and iterative data strategy and team. During the joint presentation/discussion Jason and Barry will cover;

-Why a modern data strategy needs to be agile and iterative
-The journey required to create an agile and iterative strategy and team
-The best approach to understanding exactly how far you are in your journey and the pillars of an effective strategy

Both panellists will then be available for an interactive Q&A session, taking questions from the audience.