20 Data Architecture courses

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. WORKSHOP APPLICATION USE CASES * Oz Metropolitan * Architectural questions * Team activity: Analyze Metroz Application Use Cases APPLICATION VERTICAL SLICE * Definition * Minimizing risk of an unsound architecture * Selecting a vertical slice * Team activity: Identify an initial vertical slice for Metroz APPLICATION PROCESSING * Real time, near real time processing * Batch processing * Data access patterns * Delivery and processing guarantees * Machine Learning pipelines * Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines APPLICATION DATA * Three V?s of Big Data * Data Lifecycle * Data Formats * Transforming Data * Team activity: Metroz Data Requirements SCALABLE APPLICATIONS * Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz FAULT TOLERANT DISTRIBUTED SYSTEMS * Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements SECURITY AND PRIVACY * Principles * Privacy * Threats * Technologies * Team activity: identify threats and security mechanisms in Metroz DEPLOYMENT * Cluster sizing and evolution * On-premise vs. Cloud * Edge computing * Team activity: select deployment for Metroz TECHNOLOGY SELECTION * HDFS * HBase * Kudu * Relational Database Management Systems * Map Reduce * Spark, including streaming, SparkSQL and SparkML * Hive * Impala * Cloudera Search * Data Sets and Formats * Team activity: technologies relevant to Metroz SOFTWARE ARCHITECTURE * Architecture artifacts * One platform or multiple, lambda architecture * Team activity: produce high level architecture, selected technologies, revisit vertical slice * Vertical Slice demonstration ADDITIONAL COURSE DETAILS: Nexus Humans Big Data Architecture Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Big Data Architecture Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: 1. Why place more focus on data assets? 2. Is data management just about serving geoscientists or engineers with fresh data? 3. What is the value of data management in the E&P sector for decision making? 4. How to convince the data consumers that the data we provide is reliable? 5. Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: * Understand why the data asset is now considered as a main asset by energy organizations * Appreciate the importance of data governance and become an active stakeholder of it * Understand the architecture and implementation of data structure in their professional environment * Get familiarized with the more important data management activities such as data security and data quality * Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: * All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants * A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives * A detailed reference manual * A lexicon of terms for data-management * Limited class size to encourage the interactivity Target Audience This VILT course is intended for: * Junior/new data managers * Geoscientists * Reservoir engineers * Producers * Maintenance specialists * Construction specialists * Human resources * Legal Course Level * Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.

Thinking about learning more understanding the role of data within an organisation? As data becomes an important currency in the world and an enabler for the future, it is imperative that all organisations have a firm understanding of the data available to them and the power it can hold. The BCS Foundation Award in Understanding Data in your Organisation teaches the the terminology, principles, concepts and approaches used within data management, and the overall value of data to an organisation.

Thinking about learning Big Data? The BCS Foundation Award in Big Data teaches learners to understand how to manage Big Data and its use with Machine Learning.

Duration 4 Days 24 CPD hours This course is intended for This class is designed for enterprise architects, solution architects, and business analysts working to earn their Salesforce Application Architect credential, or for application architects looking to get more hands-on experience. Overview Design data models that scale gracefully Leverage Salesforce sharing mechanisms at an advanced level Evaluate the nuances of field types and pick the right one for the circumstances Make data model decisions that minimize record locking and other performance degradations Dive into the two cornerstone domains of being an Application Architect: Data Architecture and Management, and Sharing and Visibility. In this 4-day workshop, our Architect experts will present you with a case study scenario that will be broken down and digested through iterative exploration. Learn how to design and build secure, scalable, and high-performing solutions through a combination of lecture, demos, hands-on exercises, and workshop presentations and discussions. APPLICATION ARCHITECT OVERVIEW * Assess the Requirements to Become an Application Architect * Understand the Real-World Expectations of Application Architects * Review the Core Characteristics of Successful Application Architects SCENARIO INTRODUCTION * Review the Application Architecture Scenario * Identify Scenario Problem Areas * Identify Scenario Actors and Licensing ARCHITECTURE DOCUMENTATION * Understand Key Architecture Documentation Requirements * Learn About Best Practices for Artifact Documentation * Produce Architecture Documents DATA MODELING * Identify Relationship Types and Their Impact on Record Access, User Interface, and Reporting * Review the Considerations for Changing Field Types * Review the Considerations for Modifying Data Models with Schema Builder * Review the Considerations for Importing and Exporting Data * Identify Use Cases of External Objects * Determine an Appropriate Data Model * Understand Design Implications with Complex Environments and Large Data Volumes (LDV) DATA MANAGEMENT * Review the Considerations for Working with LDV * Review Data Lifecycle Concepts and Mechanisms * Review Master Data Management and System of Record Concepts * Review Data Migration, Planning, Preparation, and Execution * Identify Potential LDV and Calculate Expected Volumes * Go Further with Indexes Standard and Custom Skinny Tables * Lock Records SECURITY MODEL * Review the Considerations for Working with Internal and External Sharing Models * Restrict and Extend Object and Field Access * Determine Sharing Solutions * Identify Record Sharing Mechanisms (Declarative, Programmatic, Implicit) * Understand Teams Concepts (Account, Opportunity, Case) * Understand Person Accounts and Its Implication on Sharing * Encrypt Data SHARING IN COMMUNITIES * Understand Community Security Mechanisms * Secure Integration Endpoints * Integrate and Specify Connected Apps and Named Credentials ADVANCED SECURITY & VISIBILITY CONCEPTS * Implement Security & Visibility Controls with Apex and Visualforce * Review Territory Management and Its Implication on Data Management, Sharing, and Visibility * Review Divisions and Its Implication on Data Management, Sharing, and Visibility * Understand Security and Visibility Controls on 'Special' Objects SOLUTION DESIGN * Determine When to Leverage Standard Products Functionality vs. Custom Build vs. AppExchange * Understand Declarative and Programmatic Configuration * Get to Know the Order of Execution * Automate Business Processes * Consider Reporting and Analytics Needs * Consider How to Store and Access Content/Files * Apply Solution Design Concepts to Real-World Problems and Scenarios DEPLOYMENT & INTEGRATION BEST PRACTICES * Review the Application Lifecycle * Understand How Sandboxes Should Be Used * Review Deployment Options * Identify Integration Patterns WRAP-UP * Review a Practice Scenario * Review What Was Covered ADDITIONAL COURSE DETAILS: Nexus Humans Salesforce Build Application Architect Expertise (ARC901) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Salesforce Build Application Architect Expertise (ARC901) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. INTRODUCTION TO DATA ON THE GOOGLE CLOUD PLATFORM * Highlight Analytics Challenges Faced by Data Analysts * Compare Big Data On-Premises vs on the Cloud * Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud * Navigate Google Cloud Platform Project Basics * Lab: Getting started with Google Cloud Platform BIG DATA TOOLS OVERVIEW * Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools * Demo: Analyze 10 Billion Records with Google BigQuery * Explore 9 Fundamental Google BigQuery Features * Compare GCP Tools for Analysts, Data Scientists, and Data Engineers * Lab: Exploring Datasets with Google BigQuery EXPLORING YOUR DATA WITH SQL * Compare Common Data Exploration Techniques * Learn How to Code High Quality Standard SQL * Explore Google BigQuery Public Datasets * Visualization Preview: Google Data Studio * Lab: Troubleshoot Common SQL Errors GOOGLE BIGQUERY PRICING * Walkthrough of a BigQuery Job * Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs * Optimize Queries for Cost * Lab: Calculate Google BigQuery Pricing CLEANING AND TRANSFORMING YOUR DATA * Examine the 5 Principles of Dataset Integrity * Characterize Dataset Shape and Skew * Clean and Transform Data using SQL * Clean and Transform Data using a new UI: Introducing Cloud Dataprep * Lab: Explore and Shape Data with Cloud Dataprep STORING AND EXPORTING DATA * Compare Permanent vs Temporary Tables * Save and Export Query Results * Performance Preview: Query Cache * Lab: Creating new Permanent Tables INGESTING NEW DATASETS INTO GOOGLE BIGQUERY * Query from External Data Sources * Avoid Data Ingesting Pitfalls * Ingest New Data into Permanent Tables * Discuss Streaming Inserts * Lab: Ingesting and Querying New Datasets DATA VISUALIZATION * Overview of Data Visualization Principles * Exploratory vs Explanatory Analysis Approaches * Demo: Google Data Studio UI * Connect Google Data Studio to Google BigQuery * Lab: Exploring a Dataset in Google Data Studio JOINING AND MERGING DATASETS * Merge Historical Data Tables with UNION * Introduce Table Wildcards for Easy Merges * Review Data Schemas: Linking Data Across Multiple Tables * Walkthrough JOIN Examples and Pitfalls * Lab: Join and Union Data from Multiple Tables ADVANCED FUNCTIONS AND CLAUSES * Review SQL Case Statements * Introduce Analytical Window Functions * Safeguard Data with One-Way Field Encryption * Discuss Effective Sub-query and CTE design * Compare SQL and Javascript UDFs * Lab: Deriving Insights with Advanced SQL Functions SCHEMA DESIGN AND NESTED DATA STRUCTURES * Compare Google BigQuery vs Traditional RDBMS Data Architecture * Normalization vs Denormalization: Performance Tradeoffs * Schema Review: The Good, The Bad, and The Ugly * Arrays and Nested Data in Google BigQuery * Lab: Querying Nested and Repeated Data MORE VISUALIZATION WITH GOOGLE DATA STUDIO * Create Case Statements and Calculated Fields * Avoid Performance Pitfalls with Cache considerations * Share Dashboards and Discuss Data Access considerations OPTIMIZING FOR PERFORMANCE * Avoid Google BigQuery Performance Pitfalls * Prevent Hotspots in your Data * Diagnose Performance Issues with the Query Explanation map * Lab: Optimizing and Troubleshooting Query Performance ADVANCED INSIGHTS * Introducing Cloud Datalab * Cloud Datalab Notebooks and Cells * Benefits of Cloud Datalab DATA ACCESS * Compare IAM and BigQuery Dataset Roles * Avoid Access Pitfalls * Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 5 Days 30 CPD hours This course is intended for This introductory-level, fast-paced course is for skilled web developers new to React who have prior experienced working HTML5, CSS3 and JavaScript. Overview Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore: A basic and advanced understanding of React components An advanced, in-depth knowledge of how React works A complete understanding of using Redux How to build, validate, and populate interactive forms How to use inline styles for perfect looking components How to test React components How to build and use components How to get control of your build process A deep understanding of data-driven modeling with props and state How to use client-side routing for pages in your apps How to debug a React application Mastering React is a comprehensive hands-on course that aims to be the single most useful resource on getting up to speed quickly with React. Geared for more experienced web developers new to React, this course provides students with the core knowledge and hands-on skills they require to build reliable, powerful React apps. After the first few modules, you?ll have a solid understanding of React?s fundamentals and will be able to build a wide array of rich, interactive web apps with the framework. The first module is an introduction to the new functionality in ECMAScript 6 (JavaScript). Client-side routing between pages, managing complex state, and heavy API interaction at scale are also covered. This course consists of two parts. In the first part of the course students will explore all the fundamentals with a progressive, example-driven approach. You?ll create your first apps, learn how to write components, start handling user interaction, and manage rich forms. We end the first part by exploring the inner workings of Create React App (Facebook?s tool for running React apps), writing automated unit tests, and building a multi-page app that uses client-side routing. The latter part of the course moves into more advanced concepts that you?ll see used in large, production applications. These concepts explore strategies for data architecture, transport, and management: Redux is a state management paradigm based on the Flux architecture. Redux provides a structure for large state trees and allows you to decouple user interaction in your app from state changes. GraphQL is a powerful, typed, REST API alternative where the client describes the data it needs. Hooks is the powerful, new way to maintain state and properties with functional components and the future of React according to Facebook. ES6 PRIMER (OPTIONAL) * Prefer const and let over var * Arrow functions * Modules * Object.assign() * Template literals * The spread operator and Rest parameters * Enhanced object literals * Default arguments * Destructuring assignments YOUR FIRST REACT WEB APPLICATION * Setting up your development environment * JavaScript ES6 /ES7 * Getting started * What?s a component? * Our first component * Building the App * Making the App data-driven * Your app?s first interaction * Updating state and immutability * Refactoring with the Babel plugin transform-class-properties JSX AND THE VIRTUAL DOM * React Uses a Virtual DOM * Why Not Modify the Actual DOM? * What is a Virtual DOM? * Virtual DOM Pieces * ReactElement * JSX * JSX Creates Elements * JSX Attribute Expressions * JSX Conditional Child Expressions * JSX Boolean Attributes * JSX Comments * JSX Spread Syntax * JSX Gotchas * JSX Summary COMPONENTS * A time-logging app * Getting started * Breaking the app into components * The steps for building React apps from scratch * Updating timers * Deleting timers * Adding timing functionality * Add start and stop functionality * Methodology review ADVANCED COMPONENT CONFIGURATION WITH PROPS, STATE, AND CHILDREN * ReactComponent * props are the parameters * PropTypes * Default props with getDefaultProps() * context * state * Stateless Components * Talking to Children Components with props.children FORMS * Forms 101 * Text Input * Remote Data * Async Persistence * Redux * Form Modules UNIT TESTING & JEST * Writing tests without a framework * What is Jest? * Using Jest * Testing strategies for React applications * Testing a basic React component with Enzyme * Writing tests for the food lookup app * Writing FoodSearch.test.js ROUTING * What?s in a URL? * React Router?s core components * Building the components of react-router * Dynamic routing with React Router * Supporting authenticated routes INTRO TO FLUX AND REDUX * Why Flux? * Flux is a Design Pattern * Flux implementations * Redux & Redux?s key ideas * Building a counter * The core of Redux * The beginnings of a chat app * Building the reducer() * Subscribing to the store * Connecting Redux to React INTERMEDIATE REDUX * Using createStore() from the redux library * Representing messages as objects in state * Introducing threads * Adding the ThreadTabs component * Supporting threads in the reducer * Adding the action OPEN_THREAD * Breaking up the reducer function * Adding messagesReducer() * Defining the initial state in the reducers * Using combineReducers() from redux REACT HOOKS * Motivation behind Hooks * How Hooks Map to Component Classes * Using Hooks Requires react 'next' * useState() Hook Example * useEffect() Hook Example * useContext() Hook Example * Using Custom Hooks USING WEBPACK WITH CREATE REACT APP * JavaScript modules * Create React App * Exploring Create React App * Webpack basics * Making modifications * Hot reloading; Auto-reloading * Creating a production build * Ejecting * Using Create React App with an API server * When to use Webpack/Create React App USING GRAPHQL * Your First GraphQL Query * GraphQL Benefits * GraphQL vs. REST * GraphQL vs. SQL * Relay and GraphQL Frameworks * Chapter Preview * Consuming GraphQL * Exploring With GraphiQL * GraphQL Syntax 101 . * Complex Types * Exploring a Graph * Graph Nodes ; Viewer * Graph Connections and Edges * Mutations * Subscriptions * GraphQL With JavaScript * GraphQL With React

This comprehensive course on AWS Certified Cloud Practitioner (CLF-C01) empowers you to fast-track your IT career. Gain in-depth knowledge of cloud computing, AWS services, and architectural concepts. With hands-on labs, quizzes, and real practice exams, you will confidently build cost-effective, fault-tolerant IT solutions on the AWS Cloud.

A hands-on course to learn about different tools and scenarios to ingest data into Data Lake. This course includes end-to-end demonstrations to ingest, process, and export data using Databricks and HDInsight, which will help you have a good understanding of Azure Data Lake Services.