Infovore: An Open Source MapReduce Framework For Processing Graph Data

•Download as PPTX, PDF•

6 likes•3,717 views

This talk describes an Infovore, a tool that uses the Map/Reduce approach to clean up, filter and combine RDF data sets to deliver purpose-built data sets for practical consumers of linked data

Technology Education

Infovore, an Open-Source Map/Reduce
Framework For Processing Graph
Data
Paul Houle
Ontology2

Why handle complete data sets?
Quality Perimeter
Infovore

RDF Tools vs.Invalid Triples
Image cc-by from arj03

Scaling Limits of Triple Stores
CPU Main Memory
CPU
CPU
CPU
CPU
CPU
Random-access bottleneck
Hard Drive or Flash Storage

Map/Reduce conserves memory!
Image cc-by-sa from Anua22a

Partitioning Data
md5(“http://dbpedia.org/resource/Tree”) =
b78f8f508982ceb4e8dd3510fac75f62
331 332330 333 334 335… …

If you really try it…
331
332330
333
334 335
… …

Preprocessing Freebase
• Expand prefixes
• Remove
• fbase:type.type.instance
• fbase:type.type.expected_by
• rdfs:type w/ fbase:* subject
• Reverse
• Fbase:type.permission.controls
• Fbase:dataworld_gardening_hint.replaced_by
• Rewrite
• Fbase:type.object.type to rdfs:type

sort | uniq
:Surgeon a :Occupation .
:Surgeon rdfs:label “Surgeon” @en.
:Surgeon :mustHave :Md.
:Tree a :Plant .
:Tree rfs:label “Tree” @en .
:Tree :has :Leaves .
:Victory a :AbstractConcept .
:Vectory rdfs:label “Victory” .
:Victory :emotialTone :Positive .

Huge scalability…
:Tree
:Victory
:Surgeon
Main memory

Pig, Hadoop and All That…
Source: http://www.dbis.informatik.hu-berlin.de/forschung/projekte/query-optimization-in-rdf-databases.html

Monitoring for Quality Control
Operational Statistics(rdf)
Preprocess Partition Clean Sort Classify Filter

Parallel Loading into Triple Stores
331 332330 333 334 335… …
Openlink Virtuoso
4x Speedup

:basekb lite
:Freebase
:Chosenfacts
:Rulebox
:Chosentopics

See for yourself
https://github.com/paulhoule/infovore/wiki

What's hot

Big Data Hadoop Training in Pune-Course Content Advanto Software

Advanto Software

Overview of Dan Olteanu's Research presentation

DBOnto

Hadoop Case Studies in the Real World

Mobin Ranjbar

Collecting and analyzing sensor data with hadoop or other no sql databases

Matteo Redaelli

Hadoop pig

Wei-Yu Chen

Hive vs Pig for HadoopSourceCodeReading

Mitsuharu Hamba

What's hot (6)

Big Data Hadoop Training in Pune-Course Content Advanto Software

Overview of Dan Olteanu's Research presentation

Hadoop Case Studies in the Real World

Collecting and analyzing sensor data with hadoop or other no sql databases

Hadoop pig

Hive vs Pig for HadoopSourceCodeReading

Similar to Infovore: An Open Source MapReduce Framework For Processing Graph Data

Berlin Buzz Words - Apache Drill by Ted Dunning & Michael Hausenblas

MapR Technologies

Hadoop

Rajesh Piryani

New Developments in Spark

Databricks

Making Machine Learning Scale: Single Machine and Distributed

Turi, Inc.

Emerging technologies /frameworks in Big Data

Rahul Jain

The Spark project from Apache(spark.apache.org), is the next generation of Big Data processing systems. It uses a new architecture and in-memory processing for orders of magnitude improvement in performance. Some would call it the successor to the Hadoop set of tools. Hadoop is a batch mode Big Data processor and depends on disk based files. Spark improves on this and supports real time and interactive processing, in addition to batch processing. Table of contents: 1. The Big Data triangle 2. Hadoop stack and its limitations 3. Spark: An Overview 3.a. Spark Streaming 3.b. GraphX: Graph processing 3.c. MLib: Machine Learning 4. Performance characteristics of Spark

Apache Spark: The Next Gen toolset for Big Data Processing

prajods

Avoiding big data antipatterns

grepalex

Hadoop hbase introduction

Jakub Stransky

Introduction to Google BigQuery

Csaba Toth

Intro to big data choco devday - 23-01-2014

Hassan Islamov

DSD-INT 2017 The use of big data for dredging - De Boer

Deltares

PostgreSQL and ZFS were made for each other. This talk dives downstack into the internals and way that PostgreSQL consumes disk resources and tricks that are available if you run PostgreSQL on ZFS (ZFS on Linux, ZFS on FreeBSD, or ZFS on Illumos). Topics covered will include: * Performance and sizing considerations * Workload estimation heuristics * Standard administrative practices that leverage ZFS * Recovery using ZFS * Performing database migrations using ZFS

PostgreSQL + ZFS best practices

Sean Chittenden

Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong

Ceph Community

Hadoop - Simple. Scalable.

elliando dias

Building OpenDNS Stats

George Ang

MongoDB: Comparing WiredTiger In-Memory Engine to Redis

Jason Terpko

With Hadoop-3.0.0-alpha2 being released in January 2017, it's time to have a closer look at the features and fixes of Hadoop 3.0. We will have a look at Core Hadoop, HDFS and YARN, and answer the emerging question whether Hadoop 3.0 will be an architectural revolution like Hadoop 2 was with YARN & Co. or will it be more of an evolution adapting to new use cases like IoT, Machine Learning and Deep Learning (TensorFlow)?

Hadoop 3.0 - Revolution or evolution?

Uwe Printz

Apache Drill: An Active, Ad-hoc Query System for large-scale Data Sets

MapR Technologies

Large scale, interactive ad-hoc queries over different datastores with Apache...

jaxLondonConference

Berlin Hadoop Get Together Apache Drill

MapR Technologies

Similar to Infovore: An Open Source MapReduce Framework For Processing Graph Data (20)

Berlin Buzz Words - Apache Drill by Ted Dunning & Michael Hausenblas

Hadoop

New Developments in Spark

Making Machine Learning Scale: Single Machine and Distributed

Emerging technologies /frameworks in Big Data

Apache Spark: The Next Gen toolset for Big Data Processing

Avoiding big data antipatterns

Hadoop hbase introduction

Introduction to Google BigQuery

Intro to big data choco devday - 23-01-2014

DSD-INT 2017 The use of big data for dredging - De Boer

PostgreSQL + ZFS best practices

Unlock Bigdata Analytic Efficiency with Ceph Data Lake - Zhang Jian, Fu Yong

Hadoop - Simple. Scalable.

Building OpenDNS Stats

MongoDB: Comparing WiredTiger In-Memory Engine to Redis

Hadoop 3.0 - Revolution or evolution?

Apache Drill: An Active, Ad-hoc Query System for large-scale Data Sets

Large scale, interactive ad-hoc queries over different datastores with Apache...

Berlin Hadoop Get Together Apache Drill

More from Paul Houle

Chatbots are growing in popularity as developers face the limitations of the mobile app. User interfaces that simulate a human conversation, the history of chatbots goes back to the late 18th century. I'll take you on a tour of that history with an eye on finding insights on what is possible today and in the near future with chatbots. Issues Covered: Amazon Alexa, Facebook Messenger Chatbots, Alan Turing, and much more.

Chatbots in 2017 -- Ithaca Talk Dec 6

Paul Houle

Nowadays software companies are facing a fierce competition to deliver better products but offering a higher value to the customer. In this context, software product value has becoming a major concern in software industry, leading for improving the knowledge and better understanding about how to estimate the software value in early development phases. Other way, software companies encounter problems such as releasing products that were developed with high expectations, but they gradually fall into the category of a mediocre product when they are released to the market. These high expectations are tightly related to the expected and offered software value to the customer. This paper presents an approach for estimating the software product value, focusing on the development phases. We propose a value indicators approach to quantify the real value of the development products. The aim is early identifying potential deviations in the real software value, by comparing the estimated versus the expected. We present an internal validation to show the feasibility of this approach to produce benefits in industry projects.

Estimating the Software Product Value during the Development Process

Paul Houle

Individual Records are supposed be updated yearly, but more than 25% of records have lapsed LEI records must be updated sooner in response to corporate actions if the GLEIS is to be useful as golden copy reference data inside financial institutions Needed: real-time, streaming analytics to monitor SIFI, trading and the buildup of systemic risk LOUs publish records daily, which are concatenated by the LOUS: however, the data on organization types (Corporation, Fund, Trust, etc.), Geographic Regions, Business Registry Numbers, Hierarchy and other fields are often missing or inconsistently represented Implementing Reference Dataand Corporate Actions in a Blockchain

Universal Standards for LEI and other Corporate Reference Data: Enabling risk...

Paul Houle

We apply bitemporal analysis to more than 500 daily data files supplied by the Global Legal Entity Identifier Foundation to show that churn dominates the dynamics of growth, such that the number of paid up records in full standing has been flat over the last year. Our analysis reveals occasional daily glitches in the past that affected thousands of records. These appear to be in better control now, but a high lapse rate is the primary challenge to the Global LEI System right now

Fixing a leaky bucket; Observations on the Global LEI System

Paul Houle

Cisco Fog Strategy For Big and Smart Data

Paul Houle

Although animals do not use language, they are capable of many of the same kinds of cognition as us; much of our experience is at a non-verbal level. Semantics is the bridge between surface forms used in language and what we do and experience. Language understanding depends on world knowledge (i.e. “the pig is in the pen” vs. “the ink is in the pen”) We might not be ready for executives to specify policies themselves, but we can make the process from specification to behavior more automated, linked to precise vocabulary, and more traceable. Advances such as SVBR and an English serialization for ISO Common Logic means that executives and line workers can understand why the system does certain things, or verify that policies and regulations are implemented

Making the semantic web work

Paul Houle

Ontology2 platform

Paul Houle

Ontology2 Platform Evolution

Paul Houle

Paul houle the supermen

Paul Houle

Paul houle what ails enterprise search

Paul Houle

This graph compares two importance scores for DBpedia concepts. x-axis (left) is a usage-based importance score (based on which pages people view) and y-axis (up) is the PageRank score published by ath representing the strength of links to a concept. Correlation coefficients via kendal, spearman and pearson are in the 0.35-0.5 range. Be warned that this system does not have a sense of "respectability" so you be offended by many of its opinions and we apologize for it.

Subjective Importance Smackdown

Paul Houle

Extension methods are the most controversial feature that Microsoft has introduced in C# 3.0. Introduced to support the LINQ query framework, extension methods make it possible to define new methods for existing classes. Although extension methods can greatly simplify code that uses them, many are concerned that they could transform C# into something that programmers find unrecognizable, or that C#’s namespace mechanisms are inadequate for managing large systems that use extension methods. Adoption of the LINQ framework, however, means that extension methods are here to stay, and that .net programmers need to understand how to use them effectively, and, in particular, how extension methods are different from regular methods. This article discusses three ways in which extension methods differ from regular methods: 1. Extension methods can be called on null objects without throwing an exception 2. Extension methods cannot be called inside of a subclass

Extension methods, nulls, namespaces and precedence in c#

Paul Houle

I got started with relational databases with mysql, so I’m in the habit of making database changes with SQL scripts, rather than using a GUI. Microsoft SQL Server requires that we specify the name of a unique constraint when we want to drop it. If you’re thinking ahead, you can specify a name when you create the constraint; if you don’t, SQL Server will make up an unpredictable name, so you can’t write a simple script to drop the constraint.

Dropping unique constraints in sql server

Paul Houle

This is a story of two types: GenericType and SpecificType, where GenericType is a superclass of SpecificType. There are two types of explicit cast in C#: The Prefix cast: [01] GenericType g=...; [02] SpecificType t=(SpecificType) g; The as cast: [03] GenericType g=...; [04] SpecificType t=g as SpecificType; Most programmers have a habit of using one or the other — this isn’t usually a conscious decision, but more of a function of which form a programmer saw first. I, for instance, programmed in Java before I learned C#, so I was already in the prefix cast habit. People with a Visual Basic background often do the opposite. There are real differences between the two casting operators

Prefix casting versus as-casting in c#

Paul Houle

I'm an expert on building commerical large scale systems based on Linked Data sources such as Freebase and DBpedia. I'm the creator of :BaseKB, which was the first correct conversion of Freebase to RDF and of Infovore, the open source I do consulting on the following areas: * Data processing with Hadoop and the design and construction of systems using Amazon Web Services * Architecture and construction of systems that consume and produce Linked Data * Construction and evaluation of intelligent systems that make subjective decisions (text search, text classification, machine learning, etc.) I'm not at all interested in doing maintenance work on other people's code, but I am interested in helping you align your process, structure, and tools to speed up your development cycle, improve your products, and prevent developer burnout. I am not free to relocate at this time, but I collaborate all of the time with workers around the world and I can travel to your location, understand your needs and transfer skills to your workforce.

Paul houle resume

Paul Houle

There’s a lot of confusion about how asynchronous communication works in RIA’s such as Silverlight, GWT and Javascript. When I start talking about the problems of concurrency control, many people tell me that there aren’t any concurrency problems since everything runs in a single thread. [1] It’s important to understand the basics of what is going on when you’re writing asynchronous code, so I’ve put together a simple example to show how execution works in RIA’s and how race conditions are possible. This example applies to Javascript, Silverlight, GWT and Flex, as well as a number of other environments based on Javascript. This example doesn’t represent best practices, but rather what can happen when you’re not using a proactive strategy that eliminates concurrency problems

Keeping track of state in asynchronous callbacks

Paul Houle

Mat Byrne recently posted source code for a dynamic domain object in PHP which takes advantage of the dynamic nature of PHP. It’s a good example of how programmers can take advantage of the unique characteristics of a programming language. Statically typed languages such as C# and Java have some advantages: they run faster and IDE’s can understand the code enough to save typing (with your fingers), help you refactor your code, and help you fix errors. Although there’s a lot of things I like symfony, it feels like a Java framework that’s invaded the PHP world. Eclipse would help you deal with the endless getters and setters and domain object methods with 40-character names in Java, Eclipse. The limits of polymorphism are a serious weakness of today’s statically typed languages. C# and Java apps that I work with are filled with if-then-else or case ladders when they need to initialize a dynamically chosen instance of one of a set of classes that subclass a particular base class or that implement a particular interface. Sure, you can make a HashMap or Dictionary that’s filled with Factory objects, but any answer for that is cumbersome. I

Embrace dynamic PHP

Paul Houle

articles on asynchronous communications with a focus on Javascript. Minimizing Code Paths In Asynchronous Code, a recent post of his, is about a lesson that I learned the hard way with GWT that applies to all RIA systems that use asynchronous calls. His example is the same case I encountered, where a function might return a value from a cache or might query the server to get the value: an obvious way to do this in psuedocode is: function getData(...arguments...,callback) { if (... data in cache...) { callback(...cached data...); } cacheCallback=anonymousFunction(...return value...) { ... store value in cache... callback(...cached data...); } getDataFromServer(...arguments...,cacheCallback) } At first glance this code looks innocuous, but there’s a major difference between what happens in the cached and uncached case. In the cached case, the callback() function gets called before getData() returns — in the uncached case, the opposite happens. What happens in this function has a global impact on the execution of the program, opening up two code paths that complicate concurrency control and introduce bugs that can be frustrating to debug. This function can be made more reliable if it schedules callback() to run after the thread it is running in completes. In Javascript, this can be done with setTimeout(). In Silverlight use System.Windows.Threading.Dispatcher. to schedule the callback

Once asynchronous, always asynchronous

Paul Houle

This article is a follow up to “Don’t Catch Exceptions“, which advocates that exceptions should (in general) be passed up to a “unit of work”, that is, a fairly coarse-grained activity which can reasonably be failed, retried or ignored. A unit of work could be: an entire program, for a command-line script, a single web request in a web application, the delivery of an e-mail message the handling of a single input record in a batch loading application, rendering a single frame in a media player or a video game, or an event handler in a GUI program The code around the unit of work may look something like [01] try { [02] DoUnitOfWork() [03] } catch(Exception e) { [04] ... examine exception and decide what to do ... [05] } For the most part, the code inside DoUnitOfWork() and the functions it calls tries to throw exceptions upward rather than catch them. To handle errors correctly, you need to answer a few questions, such as Was this error caused by a corrupted application state? Did this error cause the application state to be corrupted? Was this error caused by invalid input? What do we tell the user, the developers and the system administrator? Could this operation succeed if it was retried? Is there something else we could do? Although it’s good to depend on existing exception

What do you do when you’ve caught an exception?

Paul Houle

Extension methods, nulls, namespaces and precedence in c#

Paul Houle

More from Paul Houle (20)

Chatbots in 2017 -- Ithaca Talk Dec 6

Estimating the Software Product Value during the Development Process

Universal Standards for LEI and other Corporate Reference Data: Enabling risk...

Fixing a leaky bucket; Observations on the Global LEI System

Cisco Fog Strategy For Big and Smart Data

Making the semantic web work

Ontology2 platform

Ontology2 Platform Evolution

Paul houle the supermen

Paul houle what ails enterprise search

Subjective Importance Smackdown

Extension methods, nulls, namespaces and precedence in c#

Dropping unique constraints in sql server

Prefix casting versus as-casting in c#

Paul houle resume

Keeping track of state in asynchronous callbacks

Embrace dynamic PHP

Once asynchronous, always asynchronous

What do you do when you’ve caught an exception?

Extension methods, nulls, namespaces and precedence in c#

Recently uploaded

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

wesley chun

Real Time Object Detection Using Open CV

Khem

Slack Application Development 101 Slides

praypatel2

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Civil Lines Women Seeking Men

Delhi Call girls

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Miguel Araújo

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

Histor y of HAM Radio presentation slide

vu2urc

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Recently uploaded (20)

Driving Behavioral Change for Information Management through Data-Driven Gree...

Handwritten Text Recognition for manuscripts and early printed texts

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Powerful Google developer tools for immediate impact! (2023-24 C)

Real Time Object Detection Using Open CV

Slack Application Development 101 Slides

Finology Group – Insurtech Innovation Award 2024

08448380779 Call Girls In Civil Lines Women Seeking Men

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

What Are The Drone Anti-jamming Systems Technology?

Boost PC performance: How more available memory can improve productivity

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Boost Fertility New Invention Ups Success Rates.pdf

A Domino Admins Adventures (Engage 2024)

Automating Google Workspace (GWS) & more with Apps Script

Histor y of HAM Radio presentation slide

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Axa Assurance Maroc - Insurer Innovation Award 2024

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Infovore: An Open Source MapReduce Framework For Processing Graph Data

1. Infovore, an Open-Source Map/Reduce Framework For Processing Graph Data Paul Houle Ontology2

5. 2+ billion facts, 20+ gb!

6. the data your project needs

7. Why handle complete data sets? Quality Perimeter Infovore

8. RDF Tools vs.Invalid Triples Image cc-by from arj03

9. Scaling Limits of Triple Stores CPU Main Memory CPU CPU CPU CPU CPU Random-access bottleneck Hard Drive or Flash Storage

10. Map/Reduce conserves memory! Image cc-by-sa from Anua22a

11. Partitioning Data md5(“http://dbpedia.org/resource/Tree”) = b78f8f508982ceb4e8dd3510fac75f62 331 332330 333 334 335… …

12. If you really try it… 331 332330 333 334 335 … …

13. Preprocessing Freebase • Expand prefixes • Remove • fbase:type.type.instance • fbase:type.type.expected_by • rdfs:type w/ fbase:* subject • Reverse • Fbase:type.permission.controls • Fbase:dataworld_gardening_hint.replaced_by • Rewrite • Fbase:type.object.type to rdfs:type

14. Parallel Super Eyeball

15. sort | uniq :Surgeon a :Occupation . :Surgeon rdfs:label “Surgeon” @en. :Surgeon :mustHave :Md. :Tree a :Plant . :Tree rfs:label “Tree” @en . :Tree :has :Leaves . :Victory a :AbstractConcept . :Vectory rdfs:label “Victory” . :Victory :emotialTone :Positive .

16. Huge scalability… :Tree :Victory :Surgeon Main memory

17. Pig, Hadoop and All That… Source: http://www.dbis.informatik.hu-berlin.de/forschung/projekte/query-optimization-in-rdf-databases.html

18. Monitoring for Quality Control Operational Statistics(rdf) Preprocess Partition Clean Sort Classify Filter

19. :basekb

20. Parallel Loading into Triple Stores 331 332330 333 334 335… … Openlink Virtuoso 4x Speedup

21. :basekb lite :Freebase :Chosenfacts :Rulebox :Chosentopics

22. rdf diff

23. See for yourself https://github.com/paulhoule/infovore/wiki

Infovore: An Open Source MapReduce Framework For Processing Graph Data

Recommended

Recommended

More Related Content

What's hot

What's hot (6)

Similar to Infovore: An Open Source MapReduce Framework For Processing Graph Data

Similar to Infovore: An Open Source MapReduce Framework For Processing Graph Data (20)

More from Paul Houle

More from Paul Houle (20)

Recently uploaded

Recently uploaded (20)

Infovore: An Open Source MapReduce Framework For Processing Graph Data