Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions
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Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00
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Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job. The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases. Overview After completing this course, you will be able to: Authenticate and authorize users Assign server and database roles Authorize users to access resources Use encryption and auditing features to protect data Describe recovery models and backup strategies Backup and Restore SQL Server databases Automate database management Configure security for the SQL Server agent Manage alerts and notifications Managing SQL Server using PowerShell Trace access to SQL Server Monitor a SQL Server infrastructure Troubleshoot a SQL Server infrastructure Import and export data This course will provide training in how to administer and maintain SQL Server, Azure SQL Database and other cloud-based SQL Server databases. IT professionals who work in environments where databases play a key role in their job will find this material useful. By using demonstrations and hands-on lab exercises, students will learn to carry out these important tasks. This course covers content that was in retired Microsoft Course 20764: Administering a SQL Database Infrastructure. 1 - Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters 2 - Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell 3 - Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports 4 - Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script 5 - Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data 6 - Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration 7 - Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script 8 - Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows
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Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects
Duration 5 Days 30 CPD hours This course is intended for This course is recommended for: ? System Administrators ? Patch Administrators ? SA Administrators ? Policy Setters ? IT Managers ? IT or Application Architects ? Data Center Managers ? Application Experts ? Operations Experts ? Deployment Specialists ? Application Deployment Manager Administrators ? QA Team Members and Managers ? Security Administrators ? Other technical personnel who are responsible for data center automation Overview After completing this course, you should be able to: ? Describe the Server Automation (SA) core architecture and key components of SA ? Integrate unmanaged servers into the SA managed environment and discover server information through SA ? Use the Operation System (OS) Provisioning feature of SA to automate the installation of OS onto servers ? Provision virtual servers and manage their server lifecycle through SA ? Create static and dynamic device groups to manage multiple servers as groups ? Manage packages as part of the software management feature in SA ? Use a policy-based management methodology to provision software and manage software updates ? Describe and use Application Deployment Manager (ADM) to manage an application lifecycle using SA ? Use the Application Configuration feature of SA to manage the values in configuration files on managed servers ? Manage patches on various OS platforms using a patch policy or software policy ? Use the Audit and Remediation feature of SA to ensure servers and applications are compliant with defined best practices or corporate policies ? Use the Compliance feature of SA to discover out-of-compliance servers in the managed environment and ensure that they are in compliance with corporate policies ? Use the Global Shell and Global File System (OGFS) features to explore and manage servers in an SA environment ? Create, manage, and execute scripts I SA to manage servers or server groups This five-day course provides the necessary foundation to manage the data center servers and application environment using HP Server Automation (SA) 10. The course covers the key components of SA and their functionality. Course Overview and Introduction to HP Server Automation ? Discuss the IT organization?s preference for automation ? Discuss the main features of HP SA ? Discuss the benefits of using SA ? Describe the distributed architecture of SA Exploring the Architecture and Interfaces ? Define an SA core ? Describe the functionality of each key component of SA ? Describe SA users ? Use the SA client to explore a managed server environment ? Describe the SA core architecture and key components ? Learn how to use the SA interfaces to explore the server environment Agent Functionality and Server Integration ? Differentiate the agent types ? Describe the SA agent functionality ? Specify the requirements for installing an SA agent onto an unmanaged server ? Install an agent onto an unmanaged server using the SA client and manual installation ? Troubleshoot agent installation and communication failures ? Explore the server inventory using the Device Explorer of the SA client ? Describe the Agent Tools feature within SA ? Integrate existing, unmanaged servers into the SA managed environment ? Summarize what server information is collected by the agent ? Explain the server module objects ? Explain agent extensions Provisioning Operating Systems (OS) Using OS Build Plans (OSBPs) ? Describe the Operating System (OS) provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Build Plan (OSBP) Dynamic Host Configuration Protocol (DHCP) Less or Static IP Provisioning ? Configure and run the Managed Boot Client(s) (MBC) ? Provision Operating Systems (OS) without using Dynamic Host Configuration Protocol (DHCP) (or by using Static IP) Managing Virtualization ? Describe the supported virtualization management features in SA ? Describe the process of provisioning virtual servers for VMware Enterprise Server Xi (VMware ESXi) and Solaris 10 ? Identify the relationship between the hypervisor and its virtual servers ? Manage the lifecycle of VMware Virtual Machines (VMs) ? Manage the lifecycle of Solaris zones ? Integrate with VMware Virtual Center using Virtualization Service (VS) Exploring Device Groups ? Explain device groups and their characteristics ? Describe the different types of device groups supported in SA ? Create static and dynamic device groups using the SA client Exploring Device Groups with Search Results ? Describe the different types of search in the SA client ? Discuss the process to save and retrieve search results ? Create device groups from search results ? Develop sample reports using advanced search Managing Packages ? Describe how to manage packages in SA ? Discuss the supported package types ? Explain how to organize the software library ? Import and export packages into the software repository ? Install and uninstall packages ? Manage Red Hat Package Manager (RPM) packages Software Management ? Describe the use of policy-based software management in SA ? Describe how to manage software policies in SA ? List the software management setup tasks ? Install and uninstall software using software policies ? Manage software updates using software policies Working with Application Deployment Manager (ADM) ? Describe the Application Deployment Manager (ADM) and its functions ? Manage the ADM ? Set permissions for ADM ? Define an application, a target, and a component ? Deploy an application ? Manage an Application Deployment job ? Describe the rollback and undeploy process ? Import and export Application Deployment data from SA Application Configuration Management ? Describe how application configurations are managed in SA ? Describe application configuration components ? Control values using an application configuration inheritance model ? Push application configuration values to servers Managing Patches ? Describe the patch management feature in SA ? View patch information ? Describe UNIX patch management tasks ? Install patches using patch policies on the Windows platform ? Identify Microsoft patch administration tasks ? Manage patches on Red Hat LINUX Working with Audits, Snapshots, and Remediation ? Describe the audit and remediation feature in SA ? Create and run audits ? Configure file audit rules ? Set audit rule exceptions ? View audit results and remediate the differences ? Describe how to use Business Service Automation Essentials (BSAE) Network to run compliance audits Enforcing Compliance ? Define server compliance concepts ? Describe the compliance management feature in SA ? Scan and view the compliance status of servers ? Remediate non-compliant servers Exploring Servers Using the Global Shell and Global File System ? Describe the Global Shell and Opsware Global File System (OGFS) features within SA ? Describe how Global Shell and OGFS features can be used to manage servers within the SA environment ? Describe how to navigate and filter data in the OGFS using the Global Shell ? Use the Remote Shell (ROSH) command to login to a managed server and execute shell scripts on a managed server ? Use the SA remote terminal feature to access and manage servers in the managed environment Scripting with SA ? Describe the script management and execution feature in SA ? Create scripts using the SA client ? Execute ad hoc or saved scripts ? View and download script results ? Describe PowerShell integration with SA ? Explain the Extensible Discovery server module ? Introduce Automation Platform eXtensions (APX) scripting Exploring Reports in SA ? Explain SA reports ? List the reports available in SA ? Generate an SA report ? Explain Business Service Automation (BSA) Essentials basics as a reporting tool OS Provisioning with OS Sequences ? Describe the OS Provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Sequence
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