Date: 13th November 2018
Location: Self-Service Analytics
Theatre Time: 12:30 - 13:00
Speaker: Joel McKelvey
Organisation: Looker
About: Companies that use data well are more efficient, effective, and profitable. Unfortunately, most organizations struggle to keep up with the changing supply of data — and the growing business demands for that data. The key is to connect data supply to data users in a way that scales, supports existing workflows, and serves as a foundation for the future.
This session will explore how to bring data to users where and when they need it without sacrificing data governance or unified metrics. This session will also present proven ways to build a data foundation for your organisation that can support future changes in both data supply and data demand.
Specifically, attendees will discover:
• The key considerations to driving the most value from data, including: self-service, governance, custom interfaces, modeling, and connections to existing business systems.
• How to provide users access to data in a way that naturally fits in their existing workflows and allows users to take immediate action.
• How companies like Deliveroo and King extract critical business insights from growing data and deliver those insights to their business users.
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.
More information can be found at sisense.com
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
An introduction to SAP Analytics Hub, a single portal that enables analytics users to access the right analytics at the right time in a curated environment
"Building Data Foundations and Analytics Tools Across The Product" by Crystal...Tech in Asia ID
Crystal is a data nerd, self-taught programmer, and avid non-fiction reader.
Having joined GO-JEK over two years ago, she has first-hand experience of the many challenges involved with scaling data-driven teams at Indonesia’s first unicorn startup. She currently leads the strategy and vision of the Business Intelligence team’s internal products and data culture across the company. Her team aims to produce actionable insights for all of the different verticals on the GO-JEK platform.
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
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.
More information can be found at sisense.com
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
An introduction to SAP Analytics Hub, a single portal that enables analytics users to access the right analytics at the right time in a curated environment
"Building Data Foundations and Analytics Tools Across The Product" by Crystal...Tech in Asia ID
Crystal is a data nerd, self-taught programmer, and avid non-fiction reader.
Having joined GO-JEK over two years ago, she has first-hand experience of the many challenges involved with scaling data-driven teams at Indonesia’s first unicorn startup. She currently leads the strategy and vision of the Business Intelligence team’s internal products and data culture across the company. Her team aims to produce actionable insights for all of the different verticals on the GO-JEK platform.
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
An exciting talk on the main difficulties and how to overcome them when building and scaling data teams with Florian Douetteau
- Technological issues: What stack should they choose for the company’s architecture? And what about big data technologies; should they accept being a polyglot or rather assume being a ruthless dictator?
- HR issues: Who should they hire? Should they build their data team as an extension of the BI team? Or should they build it from scratch?
- Data issues: How are they supposed to get data inside his data lake? Which strategy should they adopt: the cicada, the spider or the fox one?
- Product issues: What is big data really about? And eventually, what are they willing to do with this bunch of data?
The talk aims at demonstrating how tough it can be to build and scale a data department, and at giving some insights about the strategy Florian thinks they should adopt.
Hear Tomasz Tunguz and Frank Bien discuss their new book, Winning with Data, and offer their unique perspective to help you:
- Understand the positive impact a data culture can have on your company
- Utilize data to optimize every aspect of your business
- Learn how other companies are getting more from their data
We are fortunate to speak to many organizations in Hawaii and help them solve their business challenges with business process and technology implementation services. Every organization we speak to expresses how they want to improve reporting – they want to KNOW MORE but feel limited. If you would like to learn more about the Business Intelligence trends we are seeing in Hawaii, and how you can experience the power of knowledge in your company, please join us for this informative webinar we are co-hosting with Tableau. Tableau is a Business Intelligence market leader and we are proud to be their Hawaii partner.
"Data Informed vs Data Driven" by Casper Sermsuksan (Kulina)Tech in Asia ID
Casper is currently the Head of Product & Growth at Kulina, an online food subscription service in Jakarta. Casper is responsible for driving product management and growth initiatives as well as leading marketing efforts. Previously, he led the product marketing teams at Product Madness in San Francisco. During his tenure at Product Madness, he helped the company's top app, Heart of Vegas achieve the record of $200M in annual revenue. Outside of his day-to-day work, he advises corporations and startups on product and growth, and writes frequently on Startup Grind, Mind the Product & Muzli. He graduated with a business degree from the University of Southern California in Los Angeles.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
Data Exploration and Analytics for the Modern BusinessDATAVERSITY
Every day, your business generates enormous quantities of data. How can you unlock its value? How can you build self-service exploration experiences that empower frontline decision-makers?
This webinar features Greg Jones from Smartling and Scott Hoover from Looker. Smartling is a powerful software platform for managing translation and localization of digital content. Looker is a data exploration platform that operates in the database. Together, Greg and Scott will introduce you to a modern approach to managing analytics in today’s fast-growing, web-centric business environments.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
What is data, information & data analytics?
What is their importance & impact on the business and market?
Who is Incorta and how it adds great value as a new, unified, innovative & a market disruptive analytics platform?
Prepared by: QA Manager "Mohamed Elprince"
Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on H...BigDataEverywhere
Hadoop use cases have historically trended towards cost reduction through data warehouse offload. More recently, an uptick around customer-centric use cases have proven the ability for Hadoop to drive top-line revenue. In this session, Platfora solution architect Rob Rosen will discuss how the ability to coreelate multi-structured data in Hadoop leads to greater customer adoption, expanded cross-selling and reduced customer churn for enterprises deploying Hadoop-centric data lakes.
Gain a Holistic View of your Customer's JourneyPlatfora
Today, companies are capturing information about customers at every touchpoint, but the reality is that most companies are working with siloed marketing data because they’re using disparate tools to track online, offline, web, social, mobile, and advertising data.
In this presentation, Rod Fontecilla, VP of Application Modernization at Unisys, explains how his team uses Platfora to analyze, interact and understand data to drive customer success at Unisys.
Rod will highlight three specific Unisys use cases of Platfora, one of which involved a timely text survey sentiment analysis that produced insights enabling a course correction in favor of improved customer satisfaction.
An exciting talk on the main difficulties and how to overcome them when building and scaling data teams with Florian Douetteau
- Technological issues: What stack should they choose for the company’s architecture? And what about big data technologies; should they accept being a polyglot or rather assume being a ruthless dictator?
- HR issues: Who should they hire? Should they build their data team as an extension of the BI team? Or should they build it from scratch?
- Data issues: How are they supposed to get data inside his data lake? Which strategy should they adopt: the cicada, the spider or the fox one?
- Product issues: What is big data really about? And eventually, what are they willing to do with this bunch of data?
The talk aims at demonstrating how tough it can be to build and scale a data department, and at giving some insights about the strategy Florian thinks they should adopt.
Hear Tomasz Tunguz and Frank Bien discuss their new book, Winning with Data, and offer their unique perspective to help you:
- Understand the positive impact a data culture can have on your company
- Utilize data to optimize every aspect of your business
- Learn how other companies are getting more from their data
We are fortunate to speak to many organizations in Hawaii and help them solve their business challenges with business process and technology implementation services. Every organization we speak to expresses how they want to improve reporting – they want to KNOW MORE but feel limited. If you would like to learn more about the Business Intelligence trends we are seeing in Hawaii, and how you can experience the power of knowledge in your company, please join us for this informative webinar we are co-hosting with Tableau. Tableau is a Business Intelligence market leader and we are proud to be their Hawaii partner.
"Data Informed vs Data Driven" by Casper Sermsuksan (Kulina)Tech in Asia ID
Casper is currently the Head of Product & Growth at Kulina, an online food subscription service in Jakarta. Casper is responsible for driving product management and growth initiatives as well as leading marketing efforts. Previously, he led the product marketing teams at Product Madness in San Francisco. During his tenure at Product Madness, he helped the company's top app, Heart of Vegas achieve the record of $200M in annual revenue. Outside of his day-to-day work, he advises corporations and startups on product and growth, and writes frequently on Startup Grind, Mind the Product & Muzli. He graduated with a business degree from the University of Southern California in Los Angeles.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
Data Exploration and Analytics for the Modern BusinessDATAVERSITY
Every day, your business generates enormous quantities of data. How can you unlock its value? How can you build self-service exploration experiences that empower frontline decision-makers?
This webinar features Greg Jones from Smartling and Scott Hoover from Looker. Smartling is a powerful software platform for managing translation and localization of digital content. Looker is a data exploration platform that operates in the database. Together, Greg and Scott will introduce you to a modern approach to managing analytics in today’s fast-growing, web-centric business environments.
Data Stack Considerations: Build vs. Buy at ToutLooker
In this webinar we see why and how Tout – a fast-growing video platform – made the jump to Looker and Treasure Data, and solved their data stack issues.
Slides cover:
-The pitfalls of in-house solutions
-The importance of companywide access to all data
-The best way to optimize your data pipeline
-The facts behind buying vs. building analytics infrastructure
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
What is data, information & data analytics?
What is their importance & impact on the business and market?
Who is Incorta and how it adds great value as a new, unified, innovative & a market disruptive analytics platform?
Prepared by: QA Manager "Mohamed Elprince"
Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on H...BigDataEverywhere
Hadoop use cases have historically trended towards cost reduction through data warehouse offload. More recently, an uptick around customer-centric use cases have proven the ability for Hadoop to drive top-line revenue. In this session, Platfora solution architect Rob Rosen will discuss how the ability to coreelate multi-structured data in Hadoop leads to greater customer adoption, expanded cross-selling and reduced customer churn for enterprises deploying Hadoop-centric data lakes.
Gain a Holistic View of your Customer's JourneyPlatfora
Today, companies are capturing information about customers at every touchpoint, but the reality is that most companies are working with siloed marketing data because they’re using disparate tools to track online, offline, web, social, mobile, and advertising data.
In this presentation, Rod Fontecilla, VP of Application Modernization at Unisys, explains how his team uses Platfora to analyze, interact and understand data to drive customer success at Unisys.
Rod will highlight three specific Unisys use cases of Platfora, one of which involved a timely text survey sentiment analysis that produced insights enabling a course correction in favor of improved customer satisfaction.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
The new dominant companies are running on data SnapLogic
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.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Webinar: How to Make Data-Driven Marketing Decisions Without a Data Science D...Botify
Enterprise brands are flooded with data - data that has the potential to propel a company to new levels of operational efficiency, performance, and growth. And with customer experience at the heart of a successful business, modern marketers, in particular are under constant pressure to make informed, data-driven decisions with agility.
How can we spend less time pulling and preparing data, and more time actioning against it?
Connecta Event: Big Query och dataanalys med Google Cloud PlatformConnectaDigital
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
In order to deal with customers expecting a seamless omnichannel experience, increased regulations and speed with which innovative fin-techs enter the market, ING has formulated a customer centric strategy based on data and analytics.
Last year we talked about the fact that ING developed a new architecture, the ING Data Lake. And how within ING In parallel the Big Data paradigm, based on Hadoop, appeared and how this was mapped on the Data Lake architecture to make sure Hadoop is leveraged to the maximum.
This year we want to tell you how the international working group helped realizing the advanced analytic pattern on the ING private cloud, without prior management approval.
This presentation will discuss the community strategy, how to stay under the radar, how to surface when actual content is strong enough to force change, open issues and the private cloud challenges ING is dealing with. Join us in this ride from community idea through architecture to private cloud implementation with some organizational challenges along the way.
Frank Bien, CEO of Looker - along with Amazon, Google and other data disrupters - discuss how innovators are deeply integrating analytics into every aspect of their businesses, from mobile to warehouse to cloud.
Frank shares Looker’s vision for the future of business intelligence and data analytics and reveal pivotal product and partnership updates.
Using Web Data to Drive Revenue and Reduce CostsConnotate
This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources.
Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more.
This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.
Analytical Innovation: How to Build the Next Generation Data PlatformVMware Tanzu
There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.
Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:
- The significance of a multi-cloud, infrastructure-agnostic analytics
- What is working and what isn’t, when it comes to analytics integration
- The importance of seamlessly integrating all your analytics in one platform
- How to innovate faster, taking advantage of open source and agile software
Speakers: James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal
Applications in R - Success and Lessons Learned from the MarketplaceRevolution Analytics
Adoption of the R language has grown rapidly in the last few years, and is ranked as the number-one data science language in several surveys. This accelerating R adoption curve has been driven by the Big Data revolution, and the fact that so many data scientists — having learned R at university — are actively unlocking the secrets hidden in these new, vast data troves.
In this webinar David Smith, Chief Community Officer, will take a look at the growth of R and the innovative uses of R in business, government and non-profit sectors. Then Neera Talbert, Vice President, Professional Services will take you into the trenches of recent customer deployments and share best practices and pitfalls to avoid in deploying or expanding your own R applications.
Webinar on Big Data Challenges : Presented by Raj KasturioGuild .
Big data is huge! with billions and billions of data sets and a need to analyze and apply that to real-life problem-solving is a challenge. Are traditional methods successful in solving big data problems?
Let’s take a look at the current state of big data, if traditional methodologies are providing the necessary answers quick enough. Is Agile/Scrum a good fit for big data?
– big data in any industry
– high data availability, real time analytics, data warehousing
– agile spectrum and where do my projects fall?
– big data complexity and empirical process control theory
– current industry trends
– metrics
Data Governance Strategies - With Great Power Comes Great AccountabilityDATAVERSITY
Much like project team management and home improvement, data governance sounds a lot simpler than it actually is. In a nutshell, data governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, data governance directs how all other data management functions are performed, meaning that much of your data management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective data management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
-Illustrate what data governance functions are required for effective data management, how they fit with other data management disciplines, and why data governance can be tricky for many organizations
-Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
-Provide direction for selling data governance to organizational management as a specifically motivated initiative
Similar to Big Data LDN 2018: FIGHTING DATA CHAOS: CONNECTING USERS TO DATA AT SCALE (20)
Blueprint Series: Banking In The Cloud – Ultra-high Reliability ArchitecturesMatt Stubbs
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.
Speed Up Your Apache Cassandra™ Applications: A Practical Guide to Reactive P...Matt Stubbs
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.
Blueprint Series: Expedia Partner Solutions, Data PlatformMatt Stubbs
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.
Blueprint Series: Architecture Patterns for Implementing Serverless Microserv...Matt Stubbs
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.
Big Data LDN 2018: DATABASE FOR THE INSTANT EXPERIENCEMatt Stubbs
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: BIG DATA TOO SLOW? SPRINKLE IN SOME NOSQLMatt Stubbs
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: ENABLING DATA-DRIVEN DECISIONS WITH AUTOMATED INSIGHTSMatt Stubbs
Date: 13th November 2018
Location: Customer Experience Theatre
Time: 11:50 - 12:20
Speaker: Charlotte Emms
Organisation: seenit
About: How do you get your colleagues interested in the power of data? Taking you through Seenit’s journey using Couchbase's NoSQL database to create a regular, fully automated update in an easily digestible format.
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
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.
Date: 13th November 2018
Location: Governance and MDM Theatre
Time: 12:30 - 13:00
Organisation: Immuta
About: Artificial intelligence is rising in importance, but it’s also increasingly at loggerheads with data protection regimes like the GDPR—or so it seems. In this talk, Sophie will explain where and how AI and GDPR conflict with one another, and how to resolve these tensions.
Big Data LDN 2018: REALISING THE PROMISE OF SELF-SERVICE ANALYTICS WITH DATA ...Matt Stubbs
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.
Big Data LDN 2018: TURNING MULTIPLE DATA LAKES INTO A UNIFIED ANALYTIC DATA L...Matt Stubbs
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.
Big Data LDN 2018: CONSISTENT SECURITY, GOVERNANCE AND FLEXIBILITY FOR ALL WO...Matt Stubbs
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.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
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: EXPERIAN: MAXIMISE EVERY OPPORTUNITY IN THE BIG DATA UNIVERSEMatt Stubbs
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: A LOOK INSIDE APPLIED MACHINE LEARNINGMatt Stubbs
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.
Big Data LDN 2018: DEUTSCHE BANK: THE PATH TO AUTOMATION IN A HIGHLY REGULATE...Matt Stubbs
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.
Big Data LDN 2018: FROM PROLIFERATION TO PRODUCTIVITY: MACHINE LEARNING DATA ...Matt Stubbs
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
Big Data LDN 2018: DATA APIS DON’T DISCRIMINATEMatt Stubbs
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.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Big Data LDN 2018: FIGHTING DATA CHAOS: CONNECTING USERS TO DATA AT SCALE
1. FIGHTING DATA CHAOS
Joel McKelvey, Director of Product Marketing, Looker | November 13, 2018
CONNECTING USERS TO DATAAT SCALE
2. $177.5M in funding
CapitalG, Geodesic, Redpoint, First
Round, Goldman Sachs, Kleiner Perkins,
Meritech, Sapphire, PivotNorth
Global Offices
Santa Cruz, San Francisco,
Dublin, London, Tokyo,
New York, Boulder, Chicago
Major Partnerships
Google, Amazon,
Cloudera, Microsoft,
HPE, IBM
5 of 10 Fortune10 use
Looker
Over 1600
customers
600 + employees
3. Trends in Data Supply
§ Data doubles every 18 months
§ Proliferating data sources
§ Increased heterogeneity
§ Accelerated pace of change
4. Trends in Data Demand
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§ Increasing numbers of users
§ New data-driven roles
§ More diversity of requirements
§ Accelerated pace of change
5. Connecting People to Data – The Analytics Challenge
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6. Connecting People to Data – The Analytics Challenge
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7. Point Solutions and Department-Level Analytics
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