Szkolenia NoSQL

Szkolenia NoSQL

Not Only SQL Databases, not relational databases courses

Opinie Klientów

Building Web Apps using the MEAN stack

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Plany Szkoleń NoSQL

Identyfikator Nazwa Czas trwania (po 7h zegarowych dziennie) Przegląd
792237 Big Data Storage Solution - NoSQL 14 hours When traditional storage technologies don't handle the amount of data you need to store there are hundereds of alternatives. This course try to guide the participants what are alternatives for storing and analyzing Big Data and what are theirs pros and cons. This course is mostly focused on discussion and presentation of solutions, though hands-on exercises are available on demand. Limits of Traditional Technologies SQL databases Redundancy: replicas and clusters Constraints Speed Overview of database types Object Databases Document Store Cloud Databases Wide Column Store Multidimensional Databases Multivalue Databases Streaming and Time Series Databases Multimodel Databases Graph Databases Key Value XML Databases Distribute file systems Popular NoSQL Databases MongoDB Cassandra Apache Hadoop Apache Spark other solutions NewSQL Overview of available solutions Performance Inconsitencies Document Storage/Search Optimized Solr/Lucene/Elasticsearch other solutions
463710 Building Web Apps using the MEAN stack 35 hours Course Objective: MEAN stack is a full-stack JavaScript solution that helps you write scalable, robust, and maintainable web applications quickly and easily using MongoDB, express, AngularJS, and Node.js. By the end of this hands-on intensive training course, the students will be able to: Store the data in NoSQL, document-oriented MongoDB database that brings performance and scalability. Use Node.js, the server-side platform built on Google V8’s runtime for building fast, scalable network applications. Use Express, a simple yet powerful web application development HTTP server framework built on top of Node.js. Use AngularJS framework that offers declarative, two-way data binding for web applications. Take advantage of the ‘full-stack JavaScript’ paradigm i.e. store documents in JSON-like format in MongoDB, author JSON queries in Node.js/Express.js, and forward these JSON documents back to an Angular-based frontend. Get acquainted with the latest web application development trends in the IT industry. Node.js Getting started with Node.js Node Package Manager Modules Asynchronous Programming Callbacks Events Streams Web Sockets Angular.js Angular Architecture Modules, Controllers and Scope Views Two-way Binding Built-in and Custom Directives Event Directives Expressions Built-in and Custom Filters Understanding the Digest Loop Forms and Validation AngularJS Service Types Factories, Providers, Decorators, DI Creating Custom Services Consuming Ajax Web Services via $http and $resource Routing, Redirects, and Promises Express.js MVC Pattern Introduction to Express Routing HTTP Interaction Handling Form Data Handling Query Parameters Cookies and Sessions User Authentication Error Handling Creating and Consuming RESTful Services Using Templates MongoDB Understanding NoSQL MongoDB Finding Documents Update, Insert, and Upsert Indexing Data Modeling Aggregation
51820 MongoDB for Administrators 14 hours This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases. Diagnosing performance issues, importing and exporting data, and establishing the proper backup and restore routines, overview of the MongoDB CRUD API, the command shell, and the drivers. are also covered. The audience of this course include people who want to: Understand MongoDB from a developer's perspective, including its command shell, query API, and driver tools. Deploy MongoDB in all its configurations - as a single server, with master/slave replication, as a replica set, and as a sharded cluster. Evaluate applications and choose hardware appropriately. Monitor MongoDB instances and integrate with standard monitoring software (Munin, Nagios, etc.) Plan for backups and manage large data imports and exports. Troubleshoot the most common developer issues and failure scenarios. Each delegate will need to perform a series of practical exercises. MongoDB Architectural Overview Origin, design goals, key features Process structure (mongos, mongod, config servers) Directory / file structure Working with the MongoDB Shell Documents and data types CRUD (Inserts, queries, updates, deletes) System commands Single-server Configuration and Deployment Configuration files Data files and allocation Log files Hardware and file-system recommendations Security Built-in authentication Recommendations for secure deployment Monitoring MongoDB mongostat Analyzing memory and IO performance Integration with monitoring tools: Munin / Cacti / Nagios MongoDB's web console Indexing and Query Optimization Managing indexes and MongoDB indexing internals Single / Compound / Geo indexes Identifying sub-optimal queries. Using the query profiler. Introduction to drivers (Java/Python/Ruby/PHP/Perl) How the drivers and shell communicate with MongoDB BSON and the MongoDB Wire Protocol Troubleshooting application connections Intro to Read and Write scalability Replication and Durability Master-slave replication Replica sets Using write concern for durability Handling replication failures Auto-Sharding How sharding works Setting up a MongoDB shard cluster Choosing a shard key Sharding and indexes Sharding and Replica Set Topologies Administering a sharded cluster Shard / Chunk Migration Backup and Restore Plans Filesystem-based strategies mongodump / mongorestore rsync mongoimport / mongoexport
51821 MongoDB for Developers 14 hours This course covers everything a database developer needs to know to successfully develop applications using MongoDB. Manipulating Documents Query Insert Update Remove Upsert Removing databases, fields and others Document Structure Datatypes References ID Keys Embedded sub-documents Tree structures Tailable Cursor Two Phase Commits Auto-incrementing Sequence field Aggregation  Distinct Aggregation Pipelines Map-reduce Indexes Default _id Single Field Compound Index Multikey Index Geospatial Index Hashed Index Unique Sparse
463708 MariaDB 10 Developer Course 28 hours Created DBAs, Administrators and developers who are interested with getting involved in MariaDB 10 based on Linux system. Even beginners, who have the basic skill and knowledge on Linux, can catch up with this course just if you follow the instructor's lab and explanation in detail. This course is intended to practice enough Database Concept and SQL and to show it is very easy to understand how to use SQL and manage MariaDB on Linux system. This course will be delivered to audience with 40% lectures, 50% labs and 10% Q&A. This five-day course strongly emphasizes lab-based activities After this course, you can apply the knowledge, which you obtained through this course, to the other database systems such as MySQL, Oracle Database, MSSQL Server and PostgreSQL as well. It can be deliver on any distribution (Ubuntu, CentOS are commonly used) This course covers these kinds of topics: Chapter 00 MariaDB 10 Developer Course Introduction Chapter 01 MariaDB 10 Introduction Chapter 02 Startup MariaDB 10 Chapter 03 MariaDB Tools - Command & GUI Chapter 04 Retrieving Data using SQL Chapter 05 Filtering Data using SQL Chapter 06 Summarizing, Grouping & Combining Chapter 07 Database, Table & Indexes Chapter 08 Inserting, Updating & Deleting Data Chapter 09 Table Joins Chapter 10 Subqueries Chapter 11 Views Chapter 12 Stored Procedures Chapter 13 Triggers Chapter 14 MariaDB Datatypes Chapter 15 Transaction Processing Chapter 16 MariaDB User Management Chapter 17 MariaDB Client Tools
417006 Hadoop Administration on MapR 28 hours Audience: This course is intended to demystify big data/hadoop technology and to show it is not difficult to understand. Big Data Overview: What is Big Data Why Big Data is gaining popularity Big Data Case Studies Big Data Characteristics Solutions to work on Big Data. Hadoop & Its components: What is Hadoop and what are its components. Hadoop Architecture and its characteristics of Data it can handle /Process. Brief on Hadoop History, companies using it and why they have started using it. Hadoop Frame work & its components- explained in detail. What is HDFS and Reads -Writes to Hadoop Distributed File System. How to Setup Hadoop Cluster in different modes- Stand- alone/Pseudo/Multi Node cluster. (This includes setting up a Hadoop cluster in VM BOX/VMware, Network configurations that need to be carefully looked into, running Hadoop Daemons and testing the cluster). What is Map Reduce frame work and how it works. Running Map Reduce jobs on Hadoop cluster. Understanding Replication , Mirroring and Rack awareness in context of Hadoop clusters. Hadoop Cluster Planning: How to plan your hadoop cluster. Understanding hardware-software to plan your hadoop cluster. Understanding workloads and planning cluster to avoid failures and perform optimum. What is MapR and why MapR : Overview of MapR and its architecture. Understanding & working of MapR Control System, MapR Volumes , snapshots & Mirrors. Planning a cluster in context of MapR. Comparison of MapR with other distributions and Apache Hadoop. MapR installation and cluster deployment. Cluster Setup & Administration: Managing services, nodes ,snapshots, mirror volumes and remote clusters. Understanding and managing Nodes. Understanding of Hadoop components, Installing Hadoop components alongside MapR Services. Accessing Data on cluster including via NFS Managing services & nodes. Managing data by using volumes, managing users and groups, managing & assigning roles to nodes, commissioning decommissioning of nodes, cluster administration and performance monitoring, configuring/ analyzing and monitoring metrics to monitor performance, configuring and administering MapR security. Understanding and working with M7- Native storage for MapR tables. Cluster configuration and tuning for optimum performance. Cluster upgrade and integration with other setups: Upgrading software version of MapR and types of upgrade. Configuring Mapr cluster to access HDFS cluster. Setting up MapR cluster on Amazon Elastic Mapreduce. All the above topics include Demonstrations and practice sessions for learners to have hands on experience of the technology.
464214 MongoDB for Advanced Users 14 hours   Advanced Data Manipulations Adjustment of the Mongo Shell Efficient handling CRUD operations (inserts, queries, updates, deletes) Useful admin commands Performance optimization Built in monitoring tools: mongotop, mongostat Analysing memory and IO performance MongoDB Cloud Manager and Munin Identifying sub-optimal queries. Using the query profiler. Storage engines: MMAPv1 and WiredTiger Explainable object Indexing and special collections Managing indexes and MongoDB indexing internals Single field and compound indexes Indexes on arrays and sub-documents Geo Indexes Capped collections, TTL and tailable cursors Aggregation  Single purpose aggregation Aggregation pipelines Introduction to map-reduce Replication How asynchronous replication works in MongoDB Setting-up and maintaining replica set Using write concern and read preference Handling replication failures Sharding How auto sharding works Setting up a MongoDB shard cluster How to wisely choose a shard key Advanced administering a sharded cluster Managing unbalanced sharded cluster Dealing with chunks (splitting, merging, migrating Security Authentication and authorization in replica sets and sharded clusters Managing privileges and custom roles Recommendations for secure deployment Backup and Restore Plans filesystem based strategies mongodump and mongorestore point-in-time recovery
806644 HBase for Developers 21 hours 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 Section 1: Introduction to Big Data & NoSQL Big Data ecosystem NoSQL overview CAP theorem When is NoSQL appropriate Columnar storage HBase and NoSQL Section 2 : HBase Intro Concepts and Design Architecture (HMaster and Region Server) Data integrity HBase ecosystem Lab : Exploring HBase Section 3 : HBase Data model Namespaces, Tables and Regions Rows, columns, column families, versions HBase Shell and Admin commands Lab : HBase Shell Section 3 : Accessing HBase using Java API Introduction to Java API Read / Write path Time Series data Scans Map Reduce Filters Counters Co-processors Labs (multiple) : Using HBase Java API to implement  time series , Map Reduce, Filters and counters. Section 4 : HBase schema Design : Group session students are presented with real world use cases students work in groups to come up with design solutions discuss / critique and learn from multiple designs Labs : implement a scenario in HBase Section 5 : HBase Internals Understanding HBase under the hood Memfile / HFile / WAL HDFS storage Compactions Splits Bloom Filters Caches Diagnostics Section 6 : HBase installation and configuration hardware selection install methods common configurations Lab : installing HBase Section 7 : HBase eco-system developing applications using HBase interacting with other Hadoop stack (MapReduce, Pig, Hive) frameworks around HBase advanced concepts (co-processors) Labs : writing HBase applications Section 8 : Monitoring And Best Practices monitoring tools and practices optimizing HBase HBase in the cloud real world use cases of HBase Labs : checking HBase vitals
1085481 Aerospike for Developers 14 hours This course covers everything a database developer needs to know to successfully develop applications using Aerospike.Data Management Data Model Primary Index Secondary Index Hybrid Storage Distribution Data Distribution Consistency Guarantees Clustering Cross Data-Center Replication Rack Awareness Client Architecture ACID Key-Value Store Single Record Batch Scans Policies Data Types Lists Maps Geospatial Large Data Types Query User-Defined Functions Record UDF Stream UDF Aggregation Security (Enterprise Edition only) Known Limitations

Kursy ze Zniżką

Szkolenie Miejscowość Data Kursu Cena szkolenia [Zdalne/Stacjonarne]
Wdrażanie efektywnych strategii cenowych Poznań, Garbary 100/63 śr., 2016-10-26 09:00 3366PLN / 1883PLN
Wzorce projektowe w C# Bielsko-Biała, Al. Armii Krajowej 220 śr., 2016-10-26 09:00 3861PLN / 2130PLN
Tworzenie i wygłaszanie prezentacji z Power Point (warsztat kompetencji społecznych) Poznań, Garbary 100/63 czw., 2016-10-27 09:00 3346PLN / 1414PLN
Agile Project Management with Scrum Kraków, ul. Rzemieślnicza 1 śr., 2016-11-02 09:00 3386PLN / 1929PLN
Understanding Windows Communication Foundation (WCF) Szczecin, ul. Małopolska 23 śr., 2016-11-02 09:00 10266PLN / 3611PLN
Programowanie w języku Python Szczecin, ul. Małopolska 23 pon., 2016-11-07 09:00 N/A / 5434PLN
Agile Project Management with Scrum Poznań, Garbary 100/63 pon., 2016-11-07 09:00 3386PLN / 1529PLN
Business Analysis, BABOK V3.0 and IIBA Certification Preparation Katowice ul. Opolska 22 pon., 2016-11-07 09:00 9405PLN / 5753PLN
Adobe InDesign Lublin, ul. Spadochroniarzy 9 pon., 2016-11-07 09:00 1881PLN / 1327PLN
Administracja systemu Linux Olsztyn, ul. Kajki 3/1 wt., 2016-11-08 09:00 3861PLN / 1920PLN
SQL Fundamentals Warszawa, ul. Złota 3/11 śr., 2016-11-09 09:00 3663PLN / 1510PLN
Adobe Illustrator Katowice ul. Opolska 22 śr., 2016-11-09 09:00 2871PLN / 1848PLN
Microsoft Office Excel - analiza statystyczna Warszawa, ul. Złota 3/11 pon., 2016-11-14 09:00 2673PLN / 1291PLN
Visual Basic for Applications (VBA) w Excel - poziom zaawansowany Białystok, ul. Malmeda 1 pon., 2016-11-14 09:00 3455PLN / 2202PLN
Prototypowanie interaktywnych makiet - Axure Szczecin, ul. Małopolska 23 pon., 2016-11-14 09:00 5445PLN / 2101PLN
Efektywne wykorzystanie Social Media - Facebook, Twitter, Youtube, Google+, blogi Gdynia, ul. Ejsmonda 2 pon., 2016-11-14 09:00 1881PLN / 1102PLN
Apache Web Server Administration Kraków, ul. Rzemieślnicza 1 wt., 2016-11-15 09:00 4732PLN / 3177PLN
Język SQL w bazie danych MySQL Gdynia, ul. Ejsmonda 2 czw., 2016-11-17 09:00 2851PLN / 1413PLN
Certyfikacja OCUP2 UML 2.5 - Przygotowanie do egzaminu OCUP2 Intermediate Wrocław, ul.Ludwika Rydygiera 2a/22 czw., 2016-11-17 09:00 5148PLN / 2175PLN
Tworzenie i zarządzanie stronami WWW Kraków, ul. Rzemieślnicza 1 pon., 2016-11-21 09:00 5841PLN / 3298PLN
Trening radzenie sobie ze stresem Gdynia, ul. Ejsmonda 2 pon., 2016-11-21 09:00 5148PLN / 1730PLN
Angular JavaScript Katowice ul. Opolska 22 pon., 2016-11-21 09:00 5940PLN / 3380PLN
Agile w projektach zdalnych Katowice ul. Opolska 22 wt., 2016-11-22 09:00 5049PLN / 1962PLN
Microsoft Office Excel - efektywna praca z arkuszem Rzeszów, Plac Wolności 13 czw., 2016-11-24 09:00 PLN / 767PLN
Visual Basic for Applications (VBA) w Excel dla analityków Kielce, ul. Warszawska 19 wt., 2016-11-29 09:00 2772PLN / 1974PLN
Techniki graficzne (Adobe Photoshop, Adobe Illustrator) Wrocław, ul.Ludwika Rydygiera 2a/22 wt., 2016-12-06 09:00 4851PLN / 2740PLN
Automatyzacja testów za pomocą Selenium Gdańsk, ul. Powstańców Warszawskich 45 wt., 2016-12-06 09:00 7722PLN / 3624PLN
Programowanie w WPF 4.5 Kraków, ul. Rzemieślnicza 1 wt., 2016-12-06 09:00 6435PLN / 2893PLN
Docker and Kubernetes Gdańsk, ul. Powstańców Warszawskich 45 śr., 2016-12-07 09:00 N/A / 4989PLN

Najbliższe szkolenia

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