The document discusses application architectures using Hadoop. It provides an example case study of clickstream analysis of web logs. It discusses challenges of Hadoop implementation and various architectural considerations for data storage, modeling, ingestion, processing and what specific processing needs to happen for the case study. These include sessionization, filtering, and business intelligence/discovery. Storage options, file formats, schema design, and processing engines like MapReduce, Spark and Impala are also covered.
Application architectures with Hadoop – Big Data TechCon 2014hadooparchbook
Building applications using Apache Hadoop with a use-case of clickstream analysis. Presented by Mark Grover and Jonathan Seidman at Big Data TechCon, Boston in April 2014
Building a fraud detection application using the tools in the Hadoop ecosystem. Presentation given by authors of O'Reilly's Hadoop Application Architectures book at Strata + Hadoop World in San Jose, CA 2016.
Architecting next generation big data platformhadooparchbook
A tutorial on architecting next generation big data platform by the authors of O'Reilly's Hadoop Application Architectures book. This tutorial discusses how to build a customer 360 (or entity 360) big data application.
Audience: Technical.
Hadoop application architectures - using Customer 360 as an examplehadooparchbook
Hadoop application architectures - using Customer 360 (more generally, Entity 360) as an example. By Ted Malaska, Jonathan Seidman and Mark Grover at Strata + Hadoop World 2016 in NYC.
Application architectures with Hadoop – Big Data TechCon 2014hadooparchbook
Building applications using Apache Hadoop with a use-case of clickstream analysis. Presented by Mark Grover and Jonathan Seidman at Big Data TechCon, Boston in April 2014
Building a fraud detection application using the tools in the Hadoop ecosystem. Presentation given by authors of O'Reilly's Hadoop Application Architectures book at Strata + Hadoop World in San Jose, CA 2016.
Architecting next generation big data platformhadooparchbook
A tutorial on architecting next generation big data platform by the authors of O'Reilly's Hadoop Application Architectures book. This tutorial discusses how to build a customer 360 (or entity 360) big data application.
Audience: Technical.
Hadoop application architectures - using Customer 360 as an examplehadooparchbook
Hadoop application architectures - using Customer 360 (more generally, Entity 360) as an example. By Ted Malaska, Jonathan Seidman and Mark Grover at Strata + Hadoop World 2016 in NYC.
How Auto Microcubes Work with Indexing & Caching to Deliver a Consistently Fa...Remy Rosenbaum
Jethro CTO Boaz Raufman and Jethro CEO Eli Singer discuss the performance benefits of adding auto microcubes to the processing framework in Jethro 2.0. They discuss how the auto microcubes working in tandem with full indexing and a smart caching engine deliver a consistently interactive-speed business intelligence experience across most scenarios and use cases. The main use case they discuss is querying data on Hadoop directly from a BI tool such as Tableau or Qlik.
Real-Time Data Pipelines with Kafka, Spark, and Operational DatabasesSingleStore
Eric Frenkiel, MemSQL CEO and co-founder and Gartner Catalyst. August 11, 2015, San Diego, CA. Watch the Pinterest Demo Video here: https://youtu.be/KXelkQFVz4E
How to develop Big Data Pipelines for Hadoop, by Costin LeauCodemotion
Hadoop is not an island. To deliver a complete Big Data solution, a data pipeline needs to be developed that incorporates and orchestrates many diverse technologies. In this session we will demonstrate how the open source Spring Batch, Spring Integration and Spring Hadoop projects can be used to build manageable and robust pipeline solutions to coordinate the running of multiple Hadoop jobs (MapReduce, Hive, or Pig), but also encompass real-time data acquisition and analysis.
Spark Streaming & Kafka-The Future of Stream ProcessingJack Gudenkauf
Hari Shreedharan/Cloudera @Playtika. With its easy to use interfaces and native integration with some of the most popular ingest tools, such as Kafka, Flume, Kinesis etc, Spark Streaming has become go-to tool for stream processing. Code sharing with Spark also makes it attractive. In this talk, we will discuss the latest features in Spark Streaming and how it integrates with Kafka natively with no data loss, and even do exactly once processing!
Deploying Apache Flume to enable low-latency analyticsDataWorks Summit
The driving question behind redesigns of countless data collection architectures has often been, ?how can we make the data available to our analytical systems faster?? Increasingly, the go-to solution for this data collection problem is Apache Flume. In this talk, architectures and techniques for designing a low-latency Flume-based data collection and delivery system to enable Hadoop-based analytics are explored. Techniques for getting the data into Flume, getting the data onto HDFS and HBase, and making the data available as quickly as possible are discussed. Best practices for scaling up collection, addressing de-duplication, and utilizing a combination streaming/batch model are described in the context of Flume and Hadoop ecosystem components.
Hadoop Essentials -- The What, Why and How to Meet Agency ObjectivesCloudera, Inc.
This session will provide an executive overview of the Apache Hadoop ecosystem, its basic concepts, and its real-world applications. Attendees will learn how organizations worldwide are using the latest tools and strategies to harness their enterprise information to solve business problems and the types of data analysis commonly powered by Hadoop. Learn how various projects make up the Apache Hadoop ecosystem and the role each plays to improve data storage, management, interaction, and analysis. This is a valuable opportunity to gain insights into Hadoop functionality and how it can be applied to address compelling business challenges in your agency.
Fundamentals of Big Data, Hadoop project design and case study or Use case
General planning consideration and most necessaries in Hadoop ecosystem and Hadoop projects
This will provide the basis for choosing the right Hadoop implementation, Hadoop technologies integration, adoption and creating an infrastructure.
Building applications using Apache Hadoop with a use-case of WI-FI log analysis has real life example.
Data ingest is a deceptively hard problem. In the world of big data processing, it becomes exponentially more difficult. It's not sufficient to simply land data on a system, that data must be ready for processing and analysis. The Kite SDK is a data API designed for solving the issues related to data infest and preparation. In this talk you'll see how Kite can be used for everything from simple tasks to production ready data pipelines in minutes.
Data is being generated at a feverish pace and many businesses want all of it at their disposal to solve complex strategic problems. As decision making moves to real-time, enterprises need data ready for analysis immediately. Sean Anderson and Amandeep Khurana will discuss common pipeline trends in modern streaming architectures, Hadoop components that enable streaming capabilities, and popular use cases that are enabling the world of IOT and real-time data science.
You’ve successfully deployed Hadoop, but are you taking advantage of all of Hadoop’s features to operate a stable and effective cluster? In the first part of the talk, we will cover issues that have been seen over the last two years on hundreds of production clusters with detailed breakdown covering the number of occurrences, severity, and root cause. We will cover best practices and many new tools and features in Hadoop added over the last year to help system administrators monitor, diagnose and address such incidents.
The second part of our talk discusses new features for making daily operations easier. This includes features such as ACLs for simplified permission control, snapshots for data protection and more. We will also cover tuning configuration and features that improve cluster utilization, such as short-circuit reads and datanode caching.
In 2015/16 Worldpay deployed it's Enterprise Data Platform - a highly secure cluster used for analysis of over 65 Billion card transactions and the subject of last years Hadoop Summit Keynote in Dublin. A year on and we are now rapidly expanding our platform with true multi-tenancy. For our first tenant we have build and deployed the analytics and reporting for our central platforms. Our second tenant is to deploy 'decision engines' into our core business systems. These allow Worldpay to make decisions derived from machine learning on how we authorise and route payments traffic and how these affect the consumer, merchant and other business partners. We are also developing other tenant for systems management and security. This talk will look at what it means to have truly have a single enterprise data lake and multiple tenants that share that data and look forward to how we will extend the platform in 2017 with Hadoop 3.
Data Works Summit Munich 2017 - Worldpay - Multi Tenancy ClustersDavid Walker
A presentation from the Data Works Summit conference in 2017 that looks how Worldpay, a major payments provider, deployed a secure Hadoop cluster to support multiple business cases in a multi-tenancy cluster.
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
Trusted Analytics as a Service (BDT209) | AWS re:Invent 2013Amazon Web Services
(Presented by Intel) This is the best of times and the worst of times for cloud services developers. At no other time in history has open access to data, open interfaces to data analytics, and open licensing of source code come together with scalable, cost-effective, cloud infrastructures. This is the good news.
The bad news is that enterprises are being left behind. Stymied by concerns of data protection and data governance, enterprises need proof that the services and solutions built on a cloud infrastructure comply with policies and practices they’ve come to learn (not necessarily love). At its heart is the root of trust issue – how far down can I trust the cloud service, its infrastructure software, and the data that it analyzes? And how do I know my keys are safe? Join this session to learn how Intel has been enabling trusted analytics with cloud services secured top to bottom – from Apache Hadoop to Java, Xen, and Linux – without compromising security.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
36. 36
MapReduce
• Oldie but goody
• Restrictive Framework / Innovated Work Around
• Extreme Batch
Confidentiality Information Goes Here
37. 37
MapReduce Basic High Level
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Mapper
HDFS
(Replicated)
Native File System
Block of
Data
Temp Spill
Data
Partitioned
Sorted Data
Reducer
Reducer
Local Copy
Output File
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Abstractions
• SQL
– Hive
• Script/Code
– Pig: Pig Latin
– Crunch: Java/Scala
– Cascading: Java/Scala
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Spark
• The New Kid that isn’t that New Anymore
• Easily 10x less code
• Extremely Easy and Powerful API
• Very good for machine learning
• Scala, Java, and Python
• RDDs
• DAG Engine
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Why sessionize?
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Helps answers questions like:
• What is my website’s bounce rate?
– i.e. how many % of visitors don’t go past the landing page?
• Which marketing channels (e.g. organic search, display ad, etc.) are
leading to most sessions?
– Which ones of those lead to most conversions (e.g. people buying things,
signing up, etc.)
• Do attribution analysis – which channels are responsible for most
conversions?
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How to Sessionize?
Confidentiality Information Goes Here
1. Given a list of clicks, determine which clicks
came from the same user
2. Given a particular user's clicks, determine if a
given click is a part of a new session or a
continuation of the previous session
63. The image cannot be displayed. Your computer may not have enough memory to open the image, or the
image may have been corrupted. Restart your computer, and then open the file again. If the red x still
appears, you may have to delete the image and then insert it again.
Thank you