Graph Database, zwana również semantyczną bazą danych, to aplikacja zaprojektowana do przechowywania, wyszukiwania i modyfikowania wykresów sieciowych.Lokalne, instruktażowe kursy szkoleniowe na żywo z Graph Database demonstrują poprzez praktyczne ćwiczenia, w jaki sposób Graph Database używa teorii grafów do przechowywania, mapowania i wyszukiwania zależności.
Szkolenie z usługi Graph Database jest dostępne jako "szkolenie na miejscu" lub "szkolenie na żywo". Szkolenie na żywo w siedzibie klienta może odbywać się lokalnie w siedzibie klienta w Polsce lub w centrach szkoleniowych korporacji NobleProg w Polsce . Zdalne szkolenie na żywo odbywa się za pomocą interaktywnego, zdalnego pulpitu DaDesktop. NobleProg - Twój lokalny dostawca szkoleń.
Opinie uczestników
ciekawe zadania praktyczne z którymi trzeba było się zmierzyć
ING Bank Śląski S.A.
Szkolenie: Wprowadzenie do Neo4j - grafowej bazy danych
Zwięzłość (nie za dużo wiedzy teoretycznej) Rozwiązywanie zadania.
ING Bank Śląski S.A.
Szkolenie: Wprowadzenie do Neo4j - grafowej bazy danych
działające stanowisko szkoleniowe
ING Bank Śląski S.A.
Szkolenie: Wprowadzenie do Neo4j - grafowej bazy danych
Najbardziej podobały się ćwiczenia
ING Bank Śląski S.A.
Szkolenie: Wprowadzenie do Neo4j - grafowej bazy danych
neo4j :)
ING Bank Śląski S.A.
Szkolenie: Wprowadzenie do Neo4j - grafowej bazy danych
Elastyczność w dopasowaniu do szczegółów związanych z automatami, aby uzyskać bardziej realistyczny scenariusz.
Autodata Ltd
Szkolenie: Beyond the relational database: neo4j
Machine Translated
Ilość wiedzy, jaką otrzymaliśmy.
Szkolenie: Beyond the Relational Database: Neo4j
Machine Translated
Wszystko jest w porządku
Angel Daniel Mora Aguilar - INTERCAM BANCO SA INSTITUCION DE BANCA MULTIPLE, INTERCAM GRUPO FINANCIERO
Szkolenie: Beyond the Relational Database: Neo4j
Machine Translated
Ilość wiedzy, jaką otrzymaliśmy.
Szkolenie: Beyond the Relational Database: Neo4j
Machine Translated
Podkategorie Graph Database
Plany szkoleń z technologii Graph Database
Nazwa kursu
Czas trwania
Opis
Nazwa kursu
Czas trwania
Opis
7 godzin
Opis
FlockDB is an open source distributed, fault-tolerant graph database for managing wide but shallow network graphs. It was initially used by Twitter to store relationships among users.
In this instructor-led, live training, participants will learn how to set up and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc.
By the end of this training, participants will be able to:
- Install and configure FlockDB
- Understand the unique features of FlockDB, relative to other graph databases such Neo4j
- Use FlockDB to maintain a large graph dataset
- Use FlockDB together with MySQL to provide provide distributed storage capabilities
- Query, create and update extremely fast graph edges
- Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments
Audience
- Developers
- Database engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to set up and use a FlockDB database to help answer social media questions such as who follows whom, who blocks whom, etc.
By the end of this training, participants will be able to:
- Install and configure FlockDB
- Understand the unique features of FlockDB, relative to other graph databases such Neo4j
- Use FlockDB to maintain a large graph dataset
- Use FlockDB together with MySQL to provide provide distributed storage capabilities
- Query, create and update extremely fast graph edges
- Scale FlockDB horizontally for use in on-line, low-latency, high throughput web environments
Audience
- Developers
- Database engineers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
28 godzin
Opis
In this instructor-led, live training in w Polsce, 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) 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.
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.
14 godzin
Opis
This instructor-led, live training in w Polsce (online or onsite) is aimed at engineers who wish to use JanusGraph to process very large graphs that require abnormal storage and computational capacity.
By the end of this training, participants will be able to:
- Install and configure JanusGraph.
- Integrate JanusGraph with multiple backend storage systems (Cassandra, HBase, etc.) and multiple indexing software (Elasticsearch, Solr, etc.).
- Configure multiples machines into a cluster for use by JanusGraph.
- Query the database using the Gremlin query language.
- Process graph data at scale, beyond what a single machine can provide.
- Support thousands of concurrent users traversing graph data in real time.
- Query graph data for analysis.
By the end of this training, participants will be able to:
- Install and configure JanusGraph.
- Integrate JanusGraph with multiple backend storage systems (Cassandra, HBase, etc.) and multiple indexing software (Elasticsearch, Solr, etc.).
- Configure multiples machines into a cluster for use by JanusGraph.
- Query the database using the Gremlin query language.
- Process graph data at scale, beyond what a single machine can provide.
- Support thousands of concurrent users traversing graph data in real time.
- Query graph data for analysis.
21 godzin
Opis
In this instructor-led, live hands-on training in w Polsce, we will set up a live project and put into practice the skills to model, manage and access your data using neo4j. We contrast and compare graph databases with SQL-based databases as well as other NoSQL databases and clarify when and where it makes sense to implement each within your infrastructure.
21 godzin
Opis
Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
- Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
- Create, test and deploy a sample application to query complex data in a Blazegraph data store
- Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
- Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
- Create, test and deploy a sample application to query complex data in a Blazegraph data store
- Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
- Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
Nadchodzące szkolenia z technologii Graph Database
17-11-2021 09:00
Warszawa, ul. Złota 3 / 11
21 godzin
19-11-2021 09:00
Warszawa, ul. Złota 3 / 11
7 godzin
02-12-2021 09:00
Warszawa, ul. Złota 3 / 11
7 godzin
15-12-2021 09:00
Warszawa, ul. Złota 3 / 11
21 godzin
20-12-2021 09:00
Warszawa, ul. Złota 3 / 11
28 godzin
Other regions
Other countries
Konsultacje
Szkolenie Graph Database, Graph Database boot camp, Szkolenia Zdalne Graph Database, szkolenie wieczorowe Graph Database, szkolenie weekendowe Graph Database, Kurs Graph Database,Kursy Graph Database, Trener Graph Database, instruktor Graph Database, kurs zdalny Graph Database, edukacja zdalna Graph Database, nauczanie wirtualne Graph Database, lekcje UML, nauka przez internet Graph Database, e-learning Graph Database, kurs online Graph Database, wykładowca Graph Database
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