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Integrating Your Cloud-Based Data Lake and Data Warehouse For AI & BI Workloads

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.
Recorded Jul 7 2020 64 mins
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Presented by
Mike Ferguson, Intelligent Business Strategies | Andy Steed, Big Data LDN
Presentation preview: Integrating Your Cloud-Based Data Lake and Data Warehouse For AI & BI Workloads

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  • Enterprise Data Fabric – The Key To Building A Data-Driven Enterprise Oct 1 2020 1:00 pm UTC 60 mins
    Mike Ferguson, Intelligent Business Strategies | Paul Moxon, Denodo | Andy Steed, Big Data LDN
    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

    What is enterprise data fabric?
    Why do you need it?
    What are the components of an enterprise data fabric offering and what role do these components have?
    How does Enterprise data fabric, the data catalog and AI work together?
    Why is Data virtualisation a critical capability in an enterprise data fabric solution?
    Use Cases and examples of companies who have built a data fabric using Data Virtualization

    Speakers:
    Mike Ferguson, Intelligent Business Strategies
    Paul Moxon, Denodo
    Andy Steed, Big Data LDN
  • Panel Debate: Creating and Fostering a Data-Driven Culture Recorded: Sep 10 2020 60 mins
    Zara Wells, Looker @ Google Cloud | Marco Tranquillin, Google | Alex James, Fivetran | Andy Steed, Big Data LDN
    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:
    Zara Wells, Head of Data Culture and Transformation Programs, Looker @ Google Cloud
    Marco Tranquillin, EMEA CE Practice Lead, Data Analytics at Google
    Alex James, Sr. Director EMEA Customer Success at Fivetran
    Andy Steed, Content Director, Big Data LDN
  • Data Transformation Series: Curated, Self-Service Data with Gatwick Airport Recorded: Sep 8 2020 51 mins
    Shariq Wagener, Zsah/ Gatwick Airport | Andy Steed, 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.

    Speaker: Shariq Wagener, Director of Data & Analytics, Zsah/ Gatwick Airport
    Bio: Shariq is Data & Analytics Director at Zsah, starting out as an analyst he has now over 15 years of experience in strategy, execution and embedding lasting DataOps models in the transport, aviation, public sector, health, and insurance industry. With a specific focus on self-service so data can be exploited to its full potential in the right hands at the right depth, breadth, speed, truthfulness and usefulness.
  • Data Transformation Series: Working Smarter using Data Recorded: Sep 2 2020 43 mins
    Will Huntoon, Papier | Andy Steed Big Data LDN
    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
  • Returning to Work: Data-driven decisions with Tableau Recorded: Aug 20 2020 51 mins
    JP King, Tableau | 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.
  • Eating the Elephant: A Business ROI-Driven Approach to Migrating to Cloud Recorded: Aug 6 2020 57 mins
    Steve Crosson Smith, SDG Group UK | Andy Steed, Big Data LDN
    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.
  • What graph-powered contact tracing can teach business? Recorded: Jul 30 2020 60 mins
    Rik Van Bruggen, Neo4j | Andy Steed, Big Data LDN
    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.
  • Technology Modernisation Series: Simplifying the Single View Recorded: Jul 28 2020 62 mins
    Oliver Bowie, Triangle| Chris Fitzpatrick, Denodo | Charles Southwood, Denodo | Andy Steed, Big Data LDN
    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.

    Webinar Speakers:
    Oliver Bowie, Marketing Manager, Triangle Information Management
    Chris Fitzpatrick, Channel Partner Sales Engineer, Denodo
    Charles Southwood, Regional Vice President (Northern Europe and MEA), Denodo
  • How Data Warehouse Automation is Transforming Business Recorded: Jul 23 2020 60 mins
    Simon Meacher, Engaging Data | Andy Steed, Big Data LDN
    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

    Agenda
    10:00 Introduction to WhereScape
    10:05 How Data Warehouse Automation is Transforming Business (Simon Meacher)
    10:30 Can We Build a Cloud Data Warehouse in just 15 minutes? (live demo)
    10:50 Q&A
    11:00 Ends

    Who should attend?
    Data Professionals including Business Intelligence Managers, Data Architects, CDOs, CIOs and CTOs interested in seeing:
    -Customer examples of how automation delivers incredible results across an array of digital transformation projects worldwide.
    -The power of Data Warehouse Automation in unifying data sources throughout the company for fast, accurate BI and a fully-documented architecture.
    -A demonstration of how to orchestrate and optimise traditional data flows so you can make decisions at the speed of business.
  • Design skills trump engineering skills for successful data storytelling Recorded: Jul 21 2020 54 mins
    Andy Cotgreave. Tableau | Andy Steed, Big Data LDN
    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.
    Andy helps customers, media and analysts across all industries see and understand their data using the company’s innovative products. He has inspired thousands of people with technical advice and ideas on how to identify trends in visual analytics and develop their own data-discovery skills.
  • CDO Sessions: Getting Real with Data Analytics Recorded: Jul 7 2020 59 mins
    Sandeep Uttamchandani & Kunal Agarwal, Unravel; Harinder Singh, Anheuser-Busch; Kumar Menon, Equifax
    Big data leaders are no doubt being challenged with market uncertainty. Data-driven insights can help organizations assess, and uncover market risk and opportunities that may arise during uncertain times. As businesses around the world adapt to digitization initiatives, modern data systems have become more mission critical toward continuity and competitive differentiation. Join us as we host a panel with global big data leaders from United Airlines, AB InBev and Equifax discussing:

    - How they are adapting their big data strategies for 2020 and beyond
    - How their tactical/strategic focus areas are evolving in these challenging times
    - How they are keeping their systems oiled and teams motivated
    - What practical advice they can share for other leaders in the big data community
  • Integrating Your Cloud-Based Data Lake and Data Warehouse For AI & BI Workloads Recorded: Jul 7 2020 64 mins
    Mike Ferguson, Intelligent Business Strategies | Andy Steed, Big Data LDN
    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.
  • Accelerate your Data transformation journey with Modern Cloud Data Architecture Recorded: Jun 30 2020 53 mins
    Xin Heng & Gaurish Sharma, Punchh | Ryan Simpson, Databricks | Andy Steed, Big Data LDN
    Join the team from Punchh, disruptor & leader in customer loyalty and engagement solutions for physical retailers.

    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.
    Presenters: Xin Heng, VP of Data and Gaurish Sharma, DPO, Senior Director Engineering

    Second Talk:
    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.

    Presenters: Ryan Simpson, Partner Solution Architect, Databricks
  • Data Transformation Series: Data Governance Recorded: Jun 24 2020 53 mins
    Nicola Askham, The Data Governance Coach | Tariq Bhatti, The Nursing and Midwifery Council | Andy Steed, Big Data LDN
    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. We are joined by Data Governance trainer Nicola Askham who is exploring how companies can implement a coherent Data Governance strategy without significant investment.

    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: Simon Barrass, Group Head of Business Intelligence, Dixons Carphone Warehouse
  • Blueprint Series: The Complete Guide to Observability Recorded: Jun 23 2020 53 mins
    Yoann Lechevallier, Lightstep | Andy Steed, Big Data LDN
    Easy-to-understand monoliths are giving way to distributed systems: microservices, serverless, meshes, and proxies in every possible combination. These systems offer developers the freedom to build new features and technology faster, as they are no longer beholden to the elaborate release processes associated with monolithic architecture.

    But, like all good things, there is a price: distributed systems are inherently difficult to operate and maintain. When something breaks—which it invariably will—how can you quickly comb through the myriad dependencies? How can you separate good hypotheses from bad ones?

    Enter observability...

    Learn how observability helps developers understand multi-layered architectures: what’s slow, what’s broken, and what needs to be done to improve performance.
  • Technology Modernisation Series: How to make use of Apache Flink Recorded: Jun 16 2020 62 mins
    Nico Kruber, Ververica | Andy Steed, Big Data LDN
    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
  • Graph Data Science: What's the big deal? Recorded: Jun 9 2020 67 mins
    Alicia Frame, Neo4j | Matthew Sellwood, IQVIA | Andy Steed, Big Data LDN
    Graph data science lets you leverage the power of relationships -- the connections between your data points -- to improve model prediction and answer previously intractable questions. 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 (like community detection or centrality) to answer global analytics questions, and finally improving machine learning pipelines using graph based feature engineering. Alicia will speak to how Neo4j's new Graph Data Science Library lets users get prototypes into production and show value quickly, empowering your team to incorporate cutting edge techniques into existing ML projects.

    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. The project makes use of open source databases alongside the graph data science library to find new insights that could help chemists decide what molecule to make next in the process of designing a potential new drug.

    Speakers:
    Alicia Frame, Lead Product Manager for Data Science - Neo4j
    Matthew Sellwood, Product Manager - IQVIA
    Andy Steed, Content Director, Big Data LDN
  • Technology Modernisation Series: NoSQL Database Management Recorded: Jun 4 2020 60 mins
    Ankit Patel, DataStax | Giuliano Altamura, Fincons Group | Andy Steed, Big Data LDN
    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
    Modern application demands for scale, uptime, and distributed low latency access are pushing RDBMS technologies past the breaking point. Modern data platforms such as Apache Cassandra offer hope but data models and architectures are vastly different. How do you bridge the gap?

    Watch as Ankit Patel from DataStax discusses how your DB2 or Oracle enterprise can take advantage of Cassandra today. He will discuss:

    How does Cassandra compare with relational in terms of data models and architecture?
    How can an enterprise migrate from relational to NoSQL without any downtime?
    Can you just offload some of the more expensive RDBMS functions to Cassandra?

    Talk 2:
    A series of real-life use cases of the technology from the financial sector with Giuliano Altamura, Financial Services Business Unit Manager at Fincons Group
  • The Impacts of Big Data in Cloud, Hybrid and Multi-Cloud Environments Recorded: Jun 2 2020 59 mins
    Chris Santiago, Global Solution Engineering Manager, Unravel Data
    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.
  • Data Skills & Teams in a post Covid-19 World: From Crisis to Recovery Recorded: May 28 2020 63 mins
    Jez Clark, Eden Smith | Graeme McDermott, Addison Lee | Andy Steed, Big Data LDN
    In our second lockdown special we examine the effects of lockdown on the data job market and look forward to the world post Covid-19. Since our first edition, Data Team Leaders across all sectors have overcome a number of obstacles; remote and socially distant work practices, furloughed staff and fundamental changes to business operations. In this webinar we look at the next stage of concerns for data professionals as we change phase from crisis to recovery.
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  • Title: Integrating Your Cloud-Based Data Lake and Data Warehouse For AI & BI Workloads
  • Live at: Jul 7 2020 1:00 pm
  • Presented by: Mike Ferguson, Intelligent Business Strategies | Andy Steed, Big Data LDN
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