AWS Customer Presentation - Razorfish
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This document discusses using AWS services like S3, EMR, and Hadoop to process large amounts of customer data and personalize digital advertising for a large retail client. Some key details: - The client imports 200+ GB of transaction data daily from their existing system to S3 storage on AWS. - An EMR Hadoop cluster with 100 machines is created on demand to process the data using Cascading and segment customers into personalized groups. - This automated process on AWS was able to reduce processing time from over 2 days to just 8 hours and increased the client's return on ad spend by 500%. - The elastic AWS infrastructure allows the client to dynamically scale processing as needed based on data
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• Get an introduction to Amazon Redshift's massively parallel processing, columnar, scale-out architecture
• Learn how to configure your data warehouse cluster, optimize schema, and load data efficiently
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State of the Union: Database & Analytics
This document discusses Amazon Web Services' database and analytics services. It begins by noting that 85% of businesses want to be data-driven but only 37% have been successful. It then presents the "data flywheel" concept of breaking from legacy databases, modernizing data infrastructure and data warehouses, turning data into insights, and building data-driven applications to gain momentum with data. The document provides overviews and benefits of AWS services like Amazon Aurora, Athena, Redshift, RDS, DMS, and Elasticsearch. It also introduces new capabilities for these services like machine learning with Aurora, RDS on Outposts, UltraWarm storage for Elasticsearch, and materialized views in Redshift.
Introduction to Amazon Redshift
This presentation summarizes Amazon Redshift data warehouse service, its architecture and best practices for application development using Amazon Redshift.
Data Estate Modernization
The document discusses Microsoft's data platform and cloud services. It highlights:
1) Microsoft's data platform provides intelligence over all data with SQL and Apache Spark, enabling AI and machine learning over any data.
2) Microsoft offers data modernization solutions for migrating to the cloud or managing data on-premises and in hybrid environments.
3) Migrating databases to Azure provides cost savings, security, high performance, and intelligent capabilities through services like Azure SQL Database and Azure Cosmos DB.
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Darin Briskman, Chief Evangelist, Database, Analytics, & Machine Learning, Amazon Web Services
AWS Big Data Platform
This overview presentation discusses big data challenges and provides an overview of the AWS Big Data Platform by covering:
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- Reference architectures for popular use cases, including, connected devices (IoT), log streaming, real-time intelligence, and analytics.
- The AWS big data portfolio of services, including, Amazon S3, Kinesis, DynamoDB, Elastic MapReduce (EMR), and Redshift.
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Created by: Rahul Pathak,
Sr. Manager of Software Development
NetApp Cloud Data Services & AWS Empower Your Cloud Champions
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When Open Source Meets the Enterprise
MariaDB is an open source relational database that is easy to use, deploy, and extend. It offers lower costs than proprietary databases like Oracle. MariaDB encourages community collaboration and integration of community code and plugins. It has an extensible architecture that allows for things like Galera cluster, InnoDB storage engine, security key management plugins and more. It is used by many large companies and is the default database for major Linux distributions.
AWS March 2016 Webinar Series - Building Big Data Solutions with Amazon EMR a...
Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations.
Using a combination of Amazon EMR, a managed Hadoop framework, and Amazon Redshift, a managed petabyte-scale data warehouse, organizations can effectively address many of these requirements.
In this webinar, we will show how organizations are using Amazon EMR and Amazon Redshift to build more agile and scalable architectures for big data. We will look into how you can leverage Spark and Presto running on EMR, to address multiple data processing requirements. We will also share best practices and common use cases to integrate EMR and Redshift.
Learning Objectives:
• Best practices for building a big data architecture that includes Amazon EMR and Amazon Redshift
• Understand how to use technologies such as Amazon EMR, Presto and Spark to complement your data warehousing environment
• Learn key use cases for Amazon EMR and Amazon Redshift
Who Should Attend:
• Data architects, Data management professionals, Data warehousing professionals, BI professionals
The Most Trusted In-Memory database in the world- Altibase
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Getting Started with Amazon Redshift
(1) Amazon Redshift is a fully managed data warehousing service in the cloud that makes it simple and cost-effective to analyze large amounts of data across petabytes of structured and semi-structured data. (2) It provides fast query performance by using massively parallel processing and columnar storage techniques. (3) Customers like NTT Docomo, Nasdaq, and Amazon have been able to analyze petabytes of data faster and at a lower cost using Amazon Redshift compared to their previous on-premises solutions.
AWS Summit Atlanta Keynote
This document provides an overview of an AWS event. It includes details about the AWS business including $16B in annual revenue and over 135,000 active customers. It discusses the breadth of AWS services and tools available, positioning AWS as a leader in cloud infrastructure. The document outlines how AWS gives customers superpowers with super sonic speed and pace of innovation. It provides examples of how customers are using AWS services to transform their businesses.
When Open Source Meets the Enterprise
This document provides an overview of MariaDB's 2017 roadshow, including what they are doing, where they are going, and who the field CTO is. It discusses trends in the database market moving away from expensive proprietary databases toward lower-cost open source options with subscriptions and community involvement. It highlights cost savings of MariaDB compared to Oracle and MariaDB's extensible architecture and community contributions. It also summarizes MariaDB products and technologies like the database server, MaxScale proxy, and ColumnStore, as well as MariaDB's customers, use cases, services, and how to get started with MariaDB.
Using AWS Purpose-Built Databases to Modernize your Applications
As you look to modernizing your applications, you will need to consider your database options to meet the new application requirements. AWS offers a series of purpose-built databases that include relational, key value, document, graph and cache use cases to help you deliver new and enhanced functionalities. In this webinar session, we share the different modern application architectures, and how to combine different database services to meet your requirements. Understand how to modernize your relational databases through easy upgrades with Amazon Relational Database Service and learn how to migrate from one database to another with AWS Database Migration Service and AWS Schema Conversion Tool.
Speaker:
Blair Layton, Business Development Manager, Amazon Web Services
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An overview of Amazon Web Services (AWS) and a survey of scientific computing applications of cloud computing. Examples come from the fields of Astronomy, High Energy Physics and include examples from CERN, NASA and others.
Architecting Data Lakes on AWS
This document discusses HiFX helping Malayala Manorama, one of the largest media conglomerates in India, build a data lake on AWS. Malayala Manorama faced challenges with data silos, lack of access to data for analysis, and poor data management. HiFX designed a solution connecting multiple data sources and repositories into a unified data pipeline on AWS. Raw data is stored in the data lake on S3 for low-cost storage. Spark on EMR is used for processing, with results stored in Redshift, Druid and DynamoDB. A custom app called Lens provides business users visualizations and insights. The benefits include improved user experience, campaign management, and faster product decisions based on data insights
Financial Services Analytics on AWS
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Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
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Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
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Event Agenda :
Open banking so far (short recap)
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Intro to Open Finance marketplace
• Scope
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The role of the Cloud
The Future of APIs
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Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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AWS Customer Presentation - Razorfish
- 1. Edge in the cloud Salim Hemdani VP, Experiences and Platforms @shemdani
- 3. 1,000
- 4. 100
- 5. 25
- 6. 13
- 7. What are these numbers?
- 8. Numbers 500,000,000,000 records 1,000 clients 100 markets 25 data sources 13 terabytes per day
- 9. Agenda
- 10. Time for a change
- 12. Heavy on CAPEX
- 13. Managed by Atlas/MSFT networking teams
- 14. To be completed by October 2010; no interruption in SLAMove away from PVM
- 15. Ad Serving Event Log Request hash(key) mod R FS01 FS03 FS02 98101 98104 98115 98201 98203 98004 98007 98065
- 18. Language agnostic Any Language Job tracker Task tracker
- 19. AWS
- 20. Aggregate Ad Serving data Log Files File Export APIs Internet Client Provided Data Data Sources Presentation Layer Talend Data Flow Manager Direct Analytics Processing via EMR Web Application Layer ODBC Edge Provisioning DB OLAP Cache Cloud Storage S3 HBase/SDB 15 Elastic MapReduce
- 22. Decreasing web marketing effectiveness
- 24. Drive a personalized message User recently purchased a home theater system and is now looking for sports games Target Ad ( 1.7 million per day )
- 25. We import Atlas transaction level data 24 servers S3 file storage Compress and upload 200 + GB of data per day ( 180 days = ½ Trillion ICA records )
- 26. We use EMR to process and segment EMR S3 100 Machinecluster created on demand ( 3.5 Billion records, 71 million unique cookies a day)
- 27. Process and Cost This all happens in about 8 hours every day and is fully automated (previously 2+ days) And increased ROAS by 500% (to $74)
- 28. Why AWS Efficient Elastic infrastructure from AWS allows capacity to be provisioned as needed based on load, reducing cost and the risk of processing delays Ease of integration Amazon Elastic MapReduce with Cascading allows data processing in the cloud without any changes to the underlying algorithms Flexible Hadoop with Cascading is flexible enough to allow “agile” implementation and unit testing of sophisticated algorithms. Adaptable Cascading simplifies the integration of Hadoop with external ad system Scalable AWS infrastructure helps reliably store and process huge (Petabytes) data setss
- 29. Learning
- 30. Thank you.
Editor's Notes
- Return on advertising spend (ROAS)