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You have discovered InfluxDB and now have a plethora of metrics at your fingertips. Next you want to apply these metrics and generate impactful, tangible business results. But where do you start? This talk will describe how Comcast was able to apply our multi-tenant cloud metrics to identify huge opportunities, partner with the business, and drive outcomes that include reliable cloud performance and the return of real dollars to the business…not to mention happy customers!

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As the pioneer of the decentralized platform as a service (dPaaS), Provide Technologies is the maker of the blockchain acceleration platform. Our focus is to accelerate blockchain adoption in the enterprise by slashing the complexities of delivering distributed ledger technologies (DLTs) at scale. We are the foundation for how the most important companies are reshaping markets today through decentralization.

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A high-level overview of LogicMonitor; the leading SaaS-based hybrid infrastructure performance monitoring solution on the market, changing the way enterprise organisations monitor dynamic, multi-cloud environments. Giving you hosted monitoring for your entire stack - servers, networks, containers, storage, applications, virtualisation, and cloud - from a single pane of glass. No dedicated servers required! If you want to talk AIOps, automation, and where our industry is going please hit me up with a message. I want to learn about you guys and what technology means for you!

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RightScale Webinar: February 10, 2009 – Cloud deployments are dynamic by design. Servers are launched and terminated, IP addresses can be dynamically re-assigned, and entire deployments are migrated onto the cloud, decommissioned, and then re-started at a later date. Traditional, static approaches to managing IT data simply aren't built for the cloud. Splunk provides an alternative that is dynamic and easily deployed using the RightScale Platform. Watch the video at http://vimeo.com/rightscale/implementing-powerful-it-search-on-the-cloud.

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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1FQYcP0. Gian Merlino presents the advantages, challenges, and best practices to deploying and maintaining lambda architectures in the real world, using the infrastructure at Metamarkets as a case study. Filmed at qconsf.com. Gian Merlino is a senior software engineer at Metamarkets, responsible for the infrastructure behind its data ingestion pipelines and is a committer on the Druid project.

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Keynote presentation from Confluent’s streaming event in Munich and Paris, presented by Gwen Shapira, Principal Data Architect at Confluent. The world has changed. There are several big trends in the way applications are deployed at the heart of the digitization of business: Cloud Microservices Mobile Internet of Things Machine Learning These trends are driving change in the way data flows across your organization. Today, your data experiences or is: Massive volumes of new data generated every day Distributed across apps, devices, datacenters, clouds Structured, unstructured and even polymorphic

State of Streams | Gwen Shapira, Fall 2018

confluent

There has been a lot of hullabaloo over the past few years around a concept called “DevOps.” The idea is that we need to break down the barriers between development and operations teams, and treat infrastructure as code, in order to move towards better software, more reliable and scalable systems, and continuous deployment. For some of us who have been around a while, this is just a new label for something we’ve always done. They say those that don’t learn from history are destined to repeat it. In this talk, we will look back at how the DevOps movement evolved, what it advocates, what it doesn’t address, and what you should take away from the movement that will help you in your professional life. We will also use this opportunity to look back over the past decade or two of system administration, and see how our challenges have changed, and how they have remained the same.

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In this session, we will dive into the internals of the architecture and technology which power AppDynamics Application Analytics and into the new features in the 4.2 release. Specifically, we will look at AppDynamics query language, transactions/logs correlation, deeper insight from data, API for ingesting custom data, API for searching programmatically AppDynamics data. We will share and investigate the new widgets, custom dashboards for visualization along with granular access control to protect your data. Watch this presentation in order to learn the technical ins-and-outs of the AppDynamics Application Analytics platform. This deck was originally presented at AppSphere 2015.

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Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen. In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.

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Performing manual tasks to test your DR can drain IT resources and it leaves you prone to human error. Find out how you can automate some of these processes for more efficient and reliable testing. Join this webinar to learn more about: • Guaranteed recovery with 100% automated DR failover, and testing • Automatic certification that RPOs and RTOs will be achieved • Fully automating DR testing as often as you want • Ensuring immediate detection and alerting of deviations • Guaranteed failover of virtualized applications and business services

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Forget the “Unicorns.” There is a lot to learn from “DevOps Unicorns” such as Etsy or Facebook, but for enterprises dealing with technical debt in legacy systems developed by teams no longer with the company, copying the unicorns is not an option. Richard Dominguez, Operations Developer at Prep Sportswear, needed to “keep the lights on” for their legacy systems, while enabling his DevOps teams to launch new features much faster. Today Prep Sportswear releases more updates to their legacy systems than ever before by reducing MTTR (Mean Time To Repair), giving them more time to innovate on DevOps and Continuous Delivery on their new platform. You’ll learn: • Top metrics for an Ops dashboard to catch potential issues early • Tips to manage technical debt in legacy code caused by dev teams long gone • Efficient ways to close loops while providing input to DevOps so they can optimize innovation and releases

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"The data coming into Kafka is fresh and hot. And you can deliver a new level of operational visibility and intelligence fueling applications with it. But streaming data is no longer real-time when the sink is batch. So the challenge is processing it and analyzing it at scale and extracting those insights - before they go stale. So what’s the right architecture? Should you ingest streams into a data warehouse or data lake? Maybe use a stream processor or a database? Engineering teams love using Apache Flink, but they also love using Apache Druid, a popular real-time analytics database used by 1000s of companies like Confluent and Netflix. Do you need Flink and Druid? When does it make sense vs when does it not? Join this session to learn about Apache Druid and why companies use it in combination with Kafka and Flink for real-time applications. Learn how Apache Druid complements Flink and Kafka - and what makes it purpose-built for analyzing streams and events. This talk shows real-world examples from companies that use Apache Druid with Kafka and Flink in production today and the best-practices that every dev can take advantage of."

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The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency. Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.

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Data architecture for a challenger bank.Speaker: Jason Maude, Head of Technology Advocacy, Starling BankSpeaker Bio: Jason Maude is a coder, coach, and public speaker. He has over a decade of experience working in the financial sector, primarily in creating and delivering software. He is passionate about explaining complex technical concepts to those who are convinced that they won't be able to understand them. He currently works at Starling Bank as their Head of Technology Advocacy and host of the Starling podcast.Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series.Meetup sponsored by DataStax.

Blueprint Series: Banking In The Cloud – Ultra-high Reliability Architectures

Speaker: Cedrick Lunven, Developer Advocate, DataStax Speaker Bio: Cedrick is a Developer Advocate at DataStax where he finds opportunities to share his passions by speaking about developing distributed architectures and implementing reference applications for developers. In 2013, he created FF4j, an open source framework for Feature Toggle which he still actively maintains. He is now contributor in JHipster team. Talk Synopsis: We have all introduced more or less functional programming and asynchronous operations into our applications in order to speed up and distribute treatments (e.g., multi-threading, future, completableFuture, etc.). To build truly non-blocking components, optimize resource usage, and avoid "callback hell" you have to think reactive—everything is an event. From the frontend UI to database communications, it’s now possible to develop Java applications as fully reactive with frameworks like Spring WebFlux and Reactor. With high throughput and tunable consistency, applications built on top of Apache Cassandra™ fit perfectly within this pattern. DataStax has been developing Apache Cassandra drivers for years, and in the latest version of the enterprise driver we introduced reactive programming. During this session we will migrate, step by step, a vanilla CRUD Java service (SpringBoot / SpringMVC) into reactive with both code review and live coding. Bring home a working project! Filmed at Skills Matter/Code Node London on 9th May 2019 as part of the Big Data LDN Meetup Blueprint Series. Meetup sponsored by DataStax.

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Join Anselmo for an engaging overview of the new end-to-end data architecture at Expedia Group, taking a journey through cloud and on-prem data lakes, real-time and batch processes and streamlined access for data producers and consumers. Find out how the new architecture unifies a complex mix of data sources and feeds the data science development cycle. Expedia might appear to be a market-leading travel company – in reality, it’s a highly successful technology and data science company.

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Richard Freeman talks about how the data science team at JustGiving built KOALA, a fully serverless stack for real-time web analytics capture, stream processing, metrics API, and storage service, supporting live data at scale from over 26M users. He discusses recent advances in serverless computing, and how you can implement traditionally container-based microservice patterns using serverless-based architectures instead. Deploying Serverless in your organisation can dramatically increase the delivery speed, productivity and flexibility of the development team, while reducing the overall running, DevOps and maintenance costs.

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Big Data LDN 2018: DATA, WHAT PEOPLE THINK AND WHAT YOU CAN DO TO BUILD TRUST.

Date: 14th November 2018 Location: Customer Experience Theatre Time: 12:30 - 13:00 Speaker: David Maitland Organisation: Redis Labs About: This session will cover the technology underpinning at the software infrastructure level required to deliver the instant experience to the end user and enterprises alike. Use cases and value derived by major brands will be shared in this insightful session based the world's most loved database REDIS.

Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCE

Date: 14th November 2018 Location: Customer Experience Theatre Time: 11:50 - 12:20 Speaker: Perry Krug Organisation: Couchbase About: Who wants to see an ad today for the shoes they bought last week? Everyone knows that customer experience is driven by data: don't waste an opportunity to get them the right data at the right time. Real-time results are critical, but raw speed isn't everything: you need power and flexibility to react to changes on the fly. Come learn how market-leading enterprises are using Couchbase as their speed layer for ingestion, incremental view and presentation layers alongside Kafka, Spark and Hadoop to liberate their data lakes.

Big Data LDN 2018: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQL

Big Data LDN 2018: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTS

Date: 14th November 2018 Location: Governance and MDM Theatre Time: 10:30 - 11:00 Speaker: Mike Ferguson Organisation: IBS About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up? In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.

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Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:50 - 12:20 Speaker: Mark Pritchard Organisation: Denodo About: Self-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Join us to learn how data virtualization will allow you to gain real-time access to enterprise-wide data and deliver self-service analytics. We will explore how you can seamlessly unify fragmented data, replace your high-maintenance and high cost data integrations with a single, low-maintenance data virtualization layer; and how you can preserve your data integrity and ensure data lineage is fully traceable.

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Date: 13th November 2018 Location: Governance and MDM Theatre Time: 11:10 - 11:40 Organisation: TIBCO About: The big data phenomenon continues to accelerate, resulting in multiple data lakes at most organisations. However, according to Gartner, “Through 2019, 90% of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes.” Are you ready to unleash this data from these silos and deliver the insights your organisation needs to drive compelling customer experiences, innovative new products and optimized operations? In this session you will learn how to apply data virtualisation to: - Access, transform and deliver data from across your lakes, clouds and other data sources - Empower a range of analytic users and tools with all the data they need - Move rapidly to a modern and flexible data architecture for the long run In addition, you will see a demonstration of data virtualisation in action.

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Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Organisation: Cloudera About: The growth of public cloud is reinforcing the need to think more carefully about taking a consistent approach to data governance as technology teams build out a flexible and agile infrastructure to meet the demands of the business. Join this session to learn more about Cloudera's recommended approach for enterprise-grade security and governance and how to ensure a consistent framework across private, public and on-premises environments.

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Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 11:10 - 11:40 Organisation: Microlise About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.

Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICS

Date: 14th November 2018 Location: Data-Driven Ldn Theatre Time: 10:30 - 11:00 Speaker: Anna Matty Organisation: Experian About: Today there is a widespread focus on the 'how' in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer? But, how do you move to a place where you are not only solving a problem, you are redesigning the entire strategic potential of that problem? You are being armed with insight on what the problem is. Data and innovation offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight. Data science can present a unique opportunity for uncovered growth and accelerate your business through strategic innovation – fast. In this session you will hear more about how today's analytics can move from a single task, to an ongoing strategic opportunity. An opportunity that helps you move at the speed of the market and helps you maximise every opportunity.

Big Data LDN 2018: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSE

Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 13:10 - 13:40 Speaker: Brian Goral Organisation: Cloudera About: The field of machine learning (ML) ranges from the very practical and pragmatic to the highly theoretical and abstract. This talk describes several of the challenges facing organisations that want to leverage more of their data through ML, including some examples of the applied algorithms that are already delivering value in business contexts.

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Date: 13th November 2018 Location: Data-Driven Ldn Theatre Time: 12:30 - 13:00 Speaker: Paul Wilkinson, Naveen Gupta Organisation: Cloudera About: Investment banks are faced with some of the toughest regulatory requirements in the world. In a market where data is increasing and changing at extraordinary rates the journey with data governance never ends. In this session, Deutsche Bank will share their journey with big data and explain some of the processes and techniques they have employed to prepare the bank for today’s challenges and tomorrow’s opportunities. Brought to you by Naveen Gupta, VP Software Engineering, Deutsche Bank and Paul Wilkinson, Principal Solutions Architect, Cloudera.

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Date: 14th November 2018 Location: Self-Service Analytics Theatre Time: 13:50 - 14:20 Speaker: Stephanie McReynolds Organisation: Alation About: Raw data is proliferating at an enormous rate. But so are our derived data assets - hundreds of dashboards, thousands of reports, millions of transformed data sets. Self-service analytics have ensured that this noise is making it increasingly hard to understand and trust data for decision-making. This trust gap is holding your organisation back from business outcomes. European analytics leaders have found a way to close the gap between data and decision-making. From MunichRe to Pfizer and Daimler, analytics teams are adopting data catalogues for thousands of self-service analytics users. Join us in this session to hear how data catalogues that activate data by incorporating machine learning can: • Increase analyst productivity 20-40% • Boost the understanding of the nuances of data and • Establish trust in data-driven decisions with agile stewardship

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Date: 13th November 2018 Location: Self-Service Analytics Theatre Time: 15:50 - 16:20 Speaker: Nishanth Kadiyala Organisation: Progress About: The exploding API economy, combined with an advanced analytics market projected to reach $30 billion by 2019, is forcing IT to expose more and more data through APIs. Business analysts, data engineers, and data scientists are still not happy because their needs never really made it into the existing API strategies. This is because most APIs are designed for application integration, but not for the data workers who are looking for APIs that facilitate direct data access to run complex analytics. Data APIs are specifically designed to provide that frictionless data access experience to support analytics across standard interoperable interfaces such as OData (REST) or ODBC/JDBC (SQL). Consider expanding your API strategy to service the developers with open analytics in this $30 billion market.

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