Kraków

Archeion, Św. Filipa 23/6, Kraków, Polska, 30-636

Sale szkoleniowe znajdują się przy ul. Św. Filipa 23/6 w Krakowie, zaledwie 3 minuty od dworca PKP, w s...

Tarnów

Hotel Tarnovia, Kościuszki 10, Tarnów, Polska, 33-100

Sala szkoleniowa NobleProg jest usytuowana w hotelu Tarnovia przy ulicy Kościuszki 10 w Ta...

Zakopane

Dafne, Jagiellońska 30, Zakopane, Polska, 34-500

Sala szkoleniowa jest zlokalizowana zaledwie 350 metrów od dworców PKP i PKS oraz 700 metrów od Krupów...

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Introduction to Graph Computing

28 godzin
Many real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and processes -- these tools and processes can be referred to as Graph Computing (also known as Graph Analytics). In this instructor-led, live training, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics and Distributed Graph Processing) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments. By the end of this training, participants will be able to:
  • Understand how graph data is persisted and traversed.
  • Select the best framework for a given task (from graph databases to batch processing frameworks.)
  • Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
  • View real-world big data problems in terms of graphs, processes and traversals.
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Opinie uczestników (15)

Wszystko ok.

Marek Siódmiak - Santander Bank Polska
Szkolenie - Spark for Developers

Zaangażowanie i chęć wyjaśnienia tematów pobocznych.

Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Szkolenie - Apache Spark Fundamentals

Doświadczenie praktyczne trenera, nie koloryzowanie omawianego rozwiązania ale też nie wprowadzanie negatywnego nacechowania. Mam poczucie, że trener przygotowuje mnie do realnego i praktycznego wykorzystania narzędzia - tych cennych szczegółów nie ma zazwyczaj w książkach.

Krzysztof Miodek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Szkolenie - Apache Spark Fundamentals

Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.

Thomas Carcaud - IT Frankfurt GmbH
Szkolenie - Spark for Developers

Ajay was very friendly, helpful and also knowledgable about the topic he was discussing.

Biniam Guulay - ICE International Copyright Enterprise Germany GmbH
Szkolenie - Spark for Developers

Ernesto did a great job explaining the high level concepts of using Spark and it's various modules.

Michael Nemerouf
Szkolenie - Spark for Developers

Sufficient hands on, trainer is knowledgable

Chris Tan
Szkolenie - A Practical Introduction to Stream Processing

The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.

Safar Alqahtani - Elm Information Security
Szkolenie - Big Data Analytics in Health

Having hands on session / assignments

Poornima Chenthamarakshan - Intelligent Medical Objects
Szkolenie - Apache Spark in the Cloud

1. Right balance between high level concepts and technical details. 2. Andras is very knowledgeable about his teaching. 3. Exercise

Steven Wu - Intelligent Medical Objects
Szkolenie - Apache Spark in the Cloud

very interactive...

Richard Langford
Szkolenie - SMACK Stack for Data Science

Exercises and exchanges during questions/answers

Antoine - Physiobotic
Szkolenie - Scaling Data Pipelines with Spark NLP

The good humor, support and skills of the trainer.

Oumayma - Physiobotic
Szkolenie - Scaling Data Pipelines with Spark NLP

The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.

Raul Mihail Rat - Accenture Industrial SS
Szkolenie - Python, Spark, and Hadoop for Big Data

I liked that it managed to lay the foundations of the topic and go to some quite advanced exercises. Also provided easy ways to write/test the code.

Ionut Goga - Accenture Industrial SS
Szkolenie - Python, Spark, and Hadoop for Big Data

Pozostałe regiony w Polsce

Other Countries

These courses are also available in other countries

Konsultacje

GraphX Konsultacje
Szkolenie GraphX małopolskie, szkolenie wieczorowe GraphX małopolskie, szkolenie weekendowe GraphX małopolskie, GraphX boot camp małopolskie, kurs zdalny GraphX małopolskie, lekcje GraphX małopolskie, Trener GraphX małopolskie, wykładowca GraphX małopolskie, edukacja zdalna GraphX małopolskie, instruktor GraphX małopolskie, Kursy GraphX małopolskie, kurs online GraphX małopolskie, Kurs GraphX małopolskie, nauka przez internet GraphX małopolskie, nauczanie wirtualne GraphX małopolskie
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