Which GraphConnect Training Should You Take?

Quiz Questions

• 1.
  Are you more of a morning person or an afternoon person?

  • A.
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    Morning, please!
  • B.
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    Afternoon is better
  • C.
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    Meh, doesn't matter
• 2.
  On a scale of 1-10, how often do you see graphs in the world around you?

  • A.
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    1
  • B.
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    2
  • C.
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    3.14 (approx)
  • D.
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    4, I guess?
  • E.
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    maybe a 5
  • F.
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    a solid 6
  • G.
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    I'm a 7
  • H.
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    8, definitely
  • I.
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    over 9000!
  • J.
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    Everywhere, graphs are everywhere
• 3.
  Outside of Neo4j, what else interests you?

  • A.
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    I know nothing
  • B.
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    Data modeling
  • C.
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    Python, only Python
  • D.
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    Anything befitting an expert
  • E.
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    Data science
  • F.
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    Full-stack development
  • G.
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    Show me something new!
  • H.
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    Natural language processing
  • I.
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    Machine learning
  • J.
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    Data visualization
  • K.
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    Super-smart algorithms
  • L.
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    Catching all the extensions
• 4.
  What excites you the most about the future of tech?

  • A.
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    Figuring out the most complicated problems
  • B.
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    Data will look so different in the future
  • C.
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    Testing the boundaries of current knowledge
  • D.
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    Leaving the past behind
  • E.
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    Building neat things
  • F.
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    Two letters: A.I.
  • G.
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    Working together with other technologies
  • H.
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    Not forgetting where we've come from
  • I.
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    Building smart, agile solutions
• 5.
  How do you feel about learning new things?

  • A.
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    I hate learning
  • B.
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    Inside the computer?
  • C.
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    Learning is hard
  • D.
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    Already bored
  • E.
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    A girl is skeptical
  • F.
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    Wicked!
  • G.
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    I've got this
  • H.
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    I don't need help
  • I.
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    You may worship my learning skills
  • J.
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    I must conquer all knowledge
  • K.
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    I'll take it from here
  • L.
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    Reality bends to my learning powers
• 6.
  How excited are you about attending GraphConnect 2018?

  • A.
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    I'm so sad I can't come!
  • B.
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    I'm embarrassed by my graph skills
  • C.
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    I'm looking for graph enlightenment
  • D.
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    I'm trying to contain my excitement
  • E.
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    I'm feeling okay(!!)
  • F.
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    I'm just happy, I guess
  • G.
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    I'm ready to get my graph groove on
  • H.
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    This will...make a graphista...out of me
  • I.
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    I'm not ready for all the n00bs
  • J.
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    GraphConnect is the best day of my life!
  • K.
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    Three words: Treat yo self

Quiz Outcomes

• 1.
  Neo4j Basics

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  The Neo4j Basics course teaches the core functionality of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, developers quickly and easily learn how to leverage the power of graph databases through the Cypher graph query language. This session covers querying graph patterns with Cypher, designing and implementing a graph database model, and evolving an existing graph to support new or changed requirements. This is a half-day class on September 21 from 9:00 a.m. to 12:30 p.m. in Room 1 at the Mariott Marquis. See you there! Meet your teachers: @JMHReif & @lyonwj
• 2.
  New Features in Neo4j

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  It's not you who's new – it's the features! This half-day course introduces the lastest features from Neo4j 3.5. We'll learn how to use the new geospatial and temporal data types, as well as dive into the overall performance improvements and Enterprise Edition updates. This version opens up new opportunities for storing data in cleaner ways and managing an enterprise installation for business requirements.Whether or not you've had a chance to upgrade, come see how to improve your current capabilities and gain maximum developer and business benefits with the latest changes in Neo4j! This is a half-day class on September 21 from 1:30 to 5:00 p.m. in Room 1 at the Mariott Marquis. See you there! Meet your teachers: @JMHReif & @mdavidallen
• 3.
  Graph Algorithms with Neo4j

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  Leonhard Euler would be proud! Although Neo4j is often using by application developers, there's a growing trend of data scientists using graphs to help with their work. In this session we'll look at how to combine Neo4j and the Cypher query language with the Python data science stack, including libraries such as Pandas and matplotlib. We'll look at how to do exploratory data analysis as well as find insights into networked datasets using the newly released graph algorithms package through hands-on tutorials. This is a half-day class on September 21 from 1:30 to 5:00 p.m. in Room 5 at the Mariott Marquis. See you there! Meet your teachers: @amyhodler, @markhneedham & @ML_auren Pairs well with: "Data Science & Machine Learning" in the morning.
• 4.
  Neo4j for Data Science & Machine Learning

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  Let's be honest: Data science is the *best* kind of science. Right? Although Neo4j is often using by application developers, there's a growing trend of data scientists using graphs to help with their work. In this session we'll look at how to combine Neo4j and the Cypher query language with the Python data science stack including libraries such as Pandas and matplotlib. We'll look at how to do exploratory data analysis as well as find insights into networked datasets using the newly released graph algorithms package through the use of hands on tutorials. This is a half-day class on September 21 from 9:00 a.m. to 12:30 p.m. in Room 5 at the Mariott Marquis. See you there! Meet your teachers: @markhneedham & @ML_auren Pairs well with: Graph Algorithms in the afternoon.
• 5.
  Data Visualization with Neo4j Bloom

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  The newest member of the graph platform, Neo4j Bloom, is here! Neo4j Bloom is a breakthrough graph communication and data visualization product that allows graph novices and experts alike the ability to communicate and share their work with peers, managers and executives – no matter their technical level. In this session we will cover: Getting Bloom set up Configuring your perspective Simple querying and interacting with the scene Understanding your data domain and building out Bloom patterns Working with search phrases Editing data and possible applications This is a half-day class on September 21 from 1:30 to 5:00 p.m. in Room 2 at the Mariott Marquis. See you there! Meet your teacher: @ElLazal
• 6.
  Intro to Graph Data Modeling

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  (Okay, okay, not _that_ kind of modeling.) This session teaches how to design and implement a graph data model and associated queries. With a mixture of instruction and hands-on practice sessions, you’ll learn how to apply the property graph model to solve common modeling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements. Prerequisites: You will need some familiarity with Neo4j and the Cypher query language in particular. The material from the Neo4j Basics Workshop or the online "Getting Started with Neo4j" training is sufficient knowledge to understand this workshop. Workshop Outline: Introduction to the labeled property graph model Modeling guidelines Common graph structures Evolving a graph model This is a half-day class on September 21 from 9:00 a.m. to 12:30 p.m. in Room 3 at the Mariott Marquis. See you there! Meet your teacher: @ElLazal and @maxdemarzi Pairs well with: Graph Modeling Clinic in the afternoon.
• 7.
  Graph Data Modeling Clinic

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  (Okay, okay, not _that_ kind of modeling.) In this clinic, Max De Marzi, Neo4j Consultant & the Master Data Modeler (we just made that last part up) will be walking you through the art and science of graph data modeling, tackling your toughest questions and challenging your datasets to a walk-off they'll never forget (okay, we made that part up too). Come with your data modeling questions ready to be answered! This is a half-day class on September 21 from 1:30 to 5:00 p.m. in Room 3 at the Mariott Marquis. See you there! Meet your teacher: @maxdemarzi Pairs well with: Introduction to Graph Modeling or Graph Modeling for Developers (both in the morning).
• 8.
  Building Real-Time Web Apps with Neo4j using Python

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  This half-day course shows how to build a graph database-backed Python web application using Neo4j, Flask and our official Python driver. This will be a largely hands-on session, intended for those who already have a good working knowledge of Python. No previous experience of Neo4j is required. This is a half-day class on September 21 from 9:00 to 12:30 p.m. in Room 4 at the Mariott Marquis. See you there! Meet your teacher: @technige
• 9.
  Full-Stack Development with the GRANDstack

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  We're not saying that the GRAND stack is as cool as the Teenage Mutant Ninja Turtles, except, oh wait, we totally are. Not sure what the GRAND stack includes? Here's the lineup: GraphQL React.js Apollo Client Neo4j DB (see what we did there?) Despite what the name may imply, GraphQL is not a query language for graph databases. Instead it is a new way of building APIs where application data is treated as a graph on the front-end. This session starts with a brief overview of GraphQL and graph databases then dive into why they are awesome when used together! We will talk about how we can use GraphQL with Neo4j and walk through the code to build a full stack application. No experience with GraphQL or graph databases is necessary to benefit from this talk. This is a half-day class on September 21 from 1:30 p.m. to 5:00 p.m. in Room 4 at the Mariott Marquis. See you there! Meet your teacher: @lyonwj
• 10.
  Graph Data Modeling for Developers

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  (Okay, okay, not _that_ kind of modeling.) This course teaches how to design and implement a graph data model and associated queries. With a mixture of instruction and hands-on practice sessions, you’ll learn how to apply the property graph model to solve common modeling problems. You’ll also learn how to evolve an existing graph in a controlled manner to support new or changed requirements. Skills taught: An understanding of the labeled property graph How to apply the property graph to common modeling problems Common graph structures for modeling complex, connected scenarios Criteria for choosing between different modeling options How to modify an existing model to accommodate new requirements Prerequisites: You will need some familiarity with Neo4j, and the Cypher language in particular. The material from the "Getting Started with Neo4j" online course is sufficient knowledge to understand this course. Course Outline: Quick review of the property graph model Graph-based modeling strategy and techniques Advanced queries with Cypher Real-world implementation use cases with Neo4j This is a half-day class on September 21 from 9:00 a.m. to 12:30 p.m. in Room 2 at the Mariott Marquis. See you there!
• 11.
  Advanced Cypher Tuning & Performance

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  Sorry, Cypher (the character), ignorance isn't bliss. Learning more about Cypher (the graph query language) is actually the best. In this advanced Neo4j tutorial, you will gain a mastery of the Cypher query language. Learn how to ask complex questions with ease as you discover the simplicity of Cypher. The course does have a quick Cypher refresher included, but it is recommended that you already have a working knowledge of Neo4j and know the basics of the Cypher query language. This is a half-day class on September 21 from 9:00 a.m. to 12:30 p.m. in Room 6 at the Mariott Marquis. See you there! Meet your teacher: @davefauth
• 12.
  APOC and Extensions for Analytics & Operations

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  The APOC (Awesome Procedures on Cypher) library lets you control the nature of reality itself (might have oversold that a bit), but it's also good for graph analytics and operations. Taught by the one-and-only Michael Hunger himself, you'll learn about all of the user-defined procedures and functions that will make your life way easier, including the ability to stop bullets in mid-air (currently a PR). This is a half-day class on September 21 from 1:30 to 5:00 p.m. in Room 6 at the Mariott Marquis. See you there! Meet your teacher: @mesirii
• 13.
  Graph-Based Natural Language Understading (Full-Day Course)

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  In this full-day training, attendees will learn basic natural language processing concepts and how graphs serve as a natural storage of the hidden structure in textual data, as well as a processing framework for extracting insights from it. Using GraphAware NLP extensions on top of Neo4j, this workshop teaches how to perform complex text processing tasks using pure Cypher, directly from the Neo4j Browser. At the end of this training, attendees will be able to: Import and parse unstructured documents such as PDF, PowerPoint documents, JSON files, etc. Perform fundamental natural language processing operations like tokenization, stemming and lemmatization Represent a corpus in different graph data models Build knowledge graphs from textual data sources Find relevant text information such as keywords and topics leveraging graph-based algorithms Build a similarity/dissimilarity graph of paragraphs/documents/sentences Extract insights from textual data in both unsupervised and supervised manner Integrate Neo4j with ElasticSearch to deliver relevant search As a pre-requisite, attendees should have a basic knowledge of Neo4j and Cypher. This is a full-day class on September 21 from 9:00 a.m. to 5:00 p.m. (with a lunch break) in Room 7 at the Mariott Marquis. See you there! Meet your teachers: @AlessandroNegro and @ikwattro