NoSQL Opplæringskurs

Når tradisjonelle lagringsteknologier ikke håndterer datamengden du trenger å lagre, er det hundrevis av alternativer. Dette kurset prøver å veilede deltakerne hva som er alternativer for lagring og analyse av Big Data og hva er deres fordeler og ulemper. Dette kurset fokuserer mest på diskusjon og presentasjon av løsninger, selv om praktiske øvelser er tilgjengelige på forespørsel.

This course introduces HBase – a NoSQL store on top of Hadoop.  The course is intended for developers who will be using HBase to develop applications,  and administrators who will manage HBase clusters. We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course  is very  hands-on with lots of lab exercises.
Duration : 3 days Audience : Developers  & Administrators

Kurset er en del av Data Scientist ferdighetssettet (Domain: Data and Technology).

Dette kurset dekker alt en databaseutvikler trenger å vite for å kunne utvikle applikasjoner med Aerospike .

Scylla is an open-source distributed NoSQL data store. It is compatible with Apache Cassandra but performs at significantly higher throughputs and lower latencies. In this course, participants will learn about Scylla's features and architecture while obtaining practical experience with setting up, administering, monitoring, and troubleshooting Scylla.   Audience

• Database administrators
• Developers
• System Engineers

Format of the course

• The course is interactive and includes discussions of the principles and approaches for deploying and managing Scylla distributed databases and clusters.
• The course includes a heavy component of hands-on exercises and practice.

Riak is an Erlang based open-source document database, similar to CouchDB. It is created and maintained by Basho. In this instructor-led, live training, participants will learn how to build, run and operate a Riak based web application. By the end of this training, participants will be able to:

• Extend the number of hardware nodes and partition data across multiple servers
• Use bucket/key/values to organize and retrieve documents
• Use full-text search like query syntax
• Understand other Riak related technologies, such as Riak KV and Riak TS
• Test, secure, optimize and deploy a sample web application

Audience

• Developers
• Database engineers
• Operations staff

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

OrientDB er en No SQL Multi-Model Database som fungerer med graf, dokument, nøkkelverdi, GeoSpatial og React ive modeller. Fleksibiliteten gjør det mulig for brukere å administrere forskjellige typer data under en sentralisert database. I denne instruktørledede, liveopplæringen, vil deltakerne lære å begynne å bruke OrientDB og bruke dens fleksibilitet til å administrere data. Ved slutten av denne opplæringen vil deltakerne kunne:

• Installer OrientDB
• Lær hvordan du oppretter og administrerer en database med OrientDB
• Utforsk de forskjellige funksjonene og funksjonene til OrientDB
• Lær hvordan du jobber med forskjellige API-er på OrientDB
• Distribuer OrientDB ved hjelp av Distribuert arkitektur

Publikum

• Programvareingeniører og teknikere
• Tekniske mennesker i alle bransjer
• IT-folk
• Utviklere

Kursets format

• Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Mem SQL er et internt, distribuert, SQL databasesystem for sky og lokale. Det er et datalager i sanntid som umiddelbart leverer innsikt fra levende og historiske data. I denne instruktørledede, liveopplæringen, vil deltakerne lære det vesentlige av Mem SQL for utvikling og administrasjon. Ved slutten av denne opplæringen vil deltakerne kunne:

• Forstå nøkkelbegrepene og egenskapene til Mem SQL
• Installere, designe, vedlikeholde og betjene Mem SQL
• Optimaliser skjemaer i Mem SQL
• Forbedre spørsmål i Mem SQL
• Benchmark-ytelse i Mem SQL
• Bygg dataprogrammer i sanntid ved hjelp av Mem SQL

Publikum

• Utviklere
• administratorer
• Operasjonsingeniører

Kursets format

• Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Relational databases have been the technology of choice for storing, retrieving and querying data. Relational databases allow users to organize their data using a structured, well-defined set of patterns (model). While this approach works well for storing data that is standardized and well-understood in advance (think of a hospital check-in application that holds patient records with the same consistent set of pre-defined fields...patient id, first name, last name, date of last visit, etc.), there are limitations to this model. For organizations whose incoming data is not well-defined (think of an online inquiry form for a startup whose still in the process of experimenting with different fields for collecting visitor data, removing and adding fields as they go to accommodate for the changing nature of the business), any established definitions for how the data should fit into an existing database would need to be re-defined regularly. This would require recreating the data model (schema) that dictates the structure of the data and its allowed data types to support different types of data inputs, etc., before any new data could be saved to the database. Enter NoSQL (Not Only SQL) databases. NoSQL databases free users from having to predefine the structure of the incoming data, allowing them to insert and update new data on the fly. NoSQL databases are often faster than relational databases and can handle very large amounts of data with ease. NoSQL databases also scale better than relational databases, due to their ability to efficiently partition data across many servers (cluster) and load balance the access to this data. NoSQL databases integrate particularly well with applications that support real-time analytics, site personalization, IoT, and mobile apps In this instructor-led, live training, participants will understand the architecture, design principles and functionality of the most popular NoSQL databases as they setup, operate and asses a number of NoSQL databases in a live lab environment. The goal of this training is to enable participants to intelligently evaluate, propose and implement a suitable NoSQL database solution within their organization. By the end of this training, participants will be able to:

• Install and configure different types of NoSQL databases, including MongoDB, Cassandra, Redis and Neo4j
• Understand the benefits and disadvantages of NoSQL databases vs relational databases
• Understand the underlying data formats used by NoSQL databases and how these formats can be used to an advantage when developing modern applications (desktop, mobile, cloud, IoT)
• Perform create, insert, update, delete operations in a NoSQL database
• Setup a mixed environment with both a relational database and NoSQL working in tandem
• Configure a cluster of NoSQL database to distribute the processing of very large datasets
• Understand the security implications of using a NoSQL database
• Deploy and scale a NoSQL database in a production environment

Audience

• Database professionals
• Data architects
• Data strategists
• Project managers
• Application developers wishing to integrate a flexible database solution in their application

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.

This instructor-led, live training in Norge (online or onsite) is aimed at database administrators or developers who wish to use Microsoft Azure Cosmos DB to develop and manage highly responsive and low latency applications. By the end of this training, participants will be able to:

• Provision the necessary Cosmos DB resources to start building databases and applications.
• Scale application performance and storage by utilizing APIs in Cosmos DB. 
• Manage database operations and reduce cost by optimizing Cosmos DB resources.

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