756 SQL courses

Duration 3 Days 18 CPD hours This course is intended for This course is intended for Solution Architects Overview At the end of this course, you will be able to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises datacenter to AWS cloud Move large data from an on-premises datacenter to AWS Design large datastores for AWS cloud Understand different architectural designs for scalability Protect your infrastructure from DDoS attack Secure your data on AWS with encryption Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS. Module 1: AWS Account Management Multiple accounts Multi-account patterns License management Manage security and costs with multiple accounts AWS Organizations AWS Directory Service Hands-on lab: Multi-VPC connectivity using a VPN Module 2: Advanced Network Architectures Improve VPC network connections Enhance performance for HPC workloads VPN connections over AWS AWS Direct Connect AWS Transit Gateway Amazon Route 53 Exercise: Design a hybrid architecture Module 3: Deployment Management on AWS Application lifecycle management Application deployment using containers AWS Elastic Beanstalk AWS OpsWorks AWS CloudFormation Module 4: Data Optimize Amazon S3 storage Amazon ElastiCache AWS Snowball AWS Storage Gateway AWS DataSync Backup and archival considerations Database migration Designing for big data with Amazon DynamoDB Hands-on lab: Build a failover solution with Amazon Route 53 and Amazon RDS Module 5: Designing for large scale applications AWS Auto Scaling Migrating over-provisioned resources Blue-green deployments on AWS Hands-on lab: Blue-green deployment with AWS Module 6: Building resilient architectures DDoS attack overview AWS Shield AWS WAF Amazon GuardDuty High availability using Microsoft SQL Server and Microsoft SharePoint on AWS High availability using MongoDB on Amazon EC2 AWS Global Accelerator Hands-on lab: CloudFront content delivery and automating AWS WAF rules Module 7: Encryption and data security Encryption primer DIY key management in AWS AWS Marketplace for encryption products AWS Key Management Service (AWS KMS) Cloud Hardware Security Module (HSM) Comparison of key management options Hands-on lab: AWS KMS with envelope encryption

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who need output from a database. In some cases, database programs have limited reporting tools, or tools that are not accessible. Learners may or may not have programming or SQL experience. Overview In this course, you will connect to a database to extract data and present it as a report. You will: Identify the elements of the Crystal Reports interface. Create and modify a basic report. Use formulas to calculate and filter data. Build a parameterized report. Group report data. Enhance a report. Create a report using data from an Excel workbook. Distribute data. In this course, students will create a basic report by connecting to a database and modifying the report's presentation. 1 - EXPLORING THE CRYSTAL REPORTS INTERFACE Topic A: Explore Crystal Reports Topic B: Use Crystal Reports Help Topic C: Customize Report Settings 2 - WORKING WITH REPORTS Topic A: Create a Report Topic B: Modify a Report Topic C: Display Specific Report Data Topic D: Work with Report Sections 3 - USING FORMULAS IN REPORTS Topic A: Create a Formula Topic B: Edit a Formula Topic C: Filter Data by Using a Formula Topic D: Work with Advanced Formulas and Functions Topic E: Handle Null Values 4 - BUILDING PARAMETERIZED REPORTS Topic A: Create a Parameter Field Topic B: Use a Range Parameter in a Report Topic C: Create a Prompt 5 - GROUPING REPORT DATA Topic A: Group Report Data Topic B: Modify a Group Report Topic C: Group by Using Parameters Topic D: Create a Parameterized Top N Report 6 - ENHANCING A REPORT Topic A: Format a Report Topic B: Insert Objects in a Report Topic C: Suppress Report Sections Topic D: Use Report Templates 7 - CREATING A REPORT FROM EXCEL DATA Topic A: Create a Report Based on Excel Data Topic B: Modify a Report Generated from Excel Data Topic C: Update Data in a Report Based on Excel Data 8 - DISTRIBUTING DATA Topic A: Export Data Topic B: Create Mailing Labels 9 - APPENDIX Appendix A: Setting Up and Configuring Data Sources Appendix B: Using Report Processing Techniques Appendix C: Using Functions in Formulas

MySQL Performance & Tuning training course description This MySQL Performance & Tuning course is designed for Database Administrators, Application Developers and Technical Consultants who need to monitor and tune the performance of MySQL servers and databases. The course provides practical experience in monitoring and tuning MySQL servers and databases. Note: This MySQL Performance & Tuning course does not cover clustering (other than at overview level), replication or non-standard storage engines such as Falcon and PBXT. What will you learn Develop a monitoring and tuning plan Use server configuration and status variables. Identify and improve problem queries. Make efficient use of indexes. Monitor and size memory caches and locks. Tune the MyISAM and InnoDB storage engine. Evaluate the use of partitioning for performance. MySQL Performance & Tuning training course details Who will benefit: Anyone who wishes to monitor and tune MySQL performance. Prerequisites: Delegates must have a working knowledge of MySQL Database Administration Duration 3 days MySQL Performance & Tuning training course contents Introduction to performance tuning Tuning overview, Resolving performance issues, Recommended approach to tuning, Items to evaluate, Where to look, Planning a monitoring routine, Building a new database for performance, Tuning an existing database, Setting suitable goals. MySQL performance tuning tools Administration tools, the information schema, performance-related SHOW commands, benchmarking tools, the MySQL performance schema, MonYog. Hands on Obtaining performance information. Schema design Normalisation, de-normalisation, naming conventions, load generation, stress testing and benchmarking tools, selecting data types, data types, character sets, choosing storage engines. Hands on effects of design on performance. Statement tuning Overview of statement tuning, identifying problem queries, the optimizer, explain, explain extended. Hands on identifying problem queries and using explain. Indexes Index overview, Types of index, Index tuning, Indexes and joins. Hands on Indexes and performance. Server configuration and monitoring Server configuration variables, server status variables, table cache, multi-threading, connection issues, query cache. Hands on setting and interpreting server variables and caching. Locking Types of locking, locking and storage engines, effects of locking on performance. Hands on locking and performance. The InnoDB engine Transactions, crash recovery, locking, monitoring InnoDB, caches and buffers, configuring data files, configuring the log files. Hands on InnoDB configuration and performance. Other storage engines MyISAM engine, merge engine, archive engine, memory engine, blackhole engine, CSV engine, the Spider engine, the ColumnStore engine, the MyRocks engine, mixing sorage engines. Hands on storage engine performance. Overview of clustering and performance Advantages of performance, advantages of clustering, performance issues and clustering, the NDBCluster engine, the Galera cluster, the Percona XtraDB cluster, MySQL InnoDB cluster, the federated engine, the federatedX engine, overview of other high availability techniques. NOSQL and Mencached overview. Dumping and loading data SQL statements versus delimited data, parameters affecting dump performance, parameters affecting load performance. Hands on dump and load performance. Partitioned tables Partitioned tables concepts, range partitioning, hash partitioning, key partitioning, list partitioning, composite partitioning or subpartitioning, partition pruning. Hands on partitioned table performance.

Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Data Consultants/Managers, Developers, Program/Project Managers, and System Administrators. Overview This course is designed to give you the comprehensive skills needed to work with the Information Design Tool. The Information Design Tool enables designers to extract, define, and manipulate metadata from relational and OLAP sources to create and deploy SAP BusinessObjects universes.In this course you learn how to use data from different source systems (SAP and non-SAP) with the SAP BusinessObjects BI client tools. This five-day course is designed to give you the comprehensive skills and in-depth knowledge needed to create SAP BusinessObjects universes using the SAP BusinessObjects Information Design Tool. Basic SAP BusinessObjects Universe Design Describing Universes Defining the Components of a Universe Data Connections Defining connections Data Foundations Creating Data Foundations Using Joins Business Layers Accessing Data through the Business Layer Integrating the Business Layer Components Validating Objects Creating Measure Objects Creating Shortcut Joins Loops in a Data Foundation Resolving Loops with Joined Tables Resolving Loops Using Aliases Resolving Loops Using Contexts Detecting Contexts Editing Contexts Testing Contexts Resolving Recursive Loops Data Restrictions Defining Data Restrictions Applying Mandatory Data Restrictions Applying Optional Data Restrictions Lists of Values (LOV) Providing a List of Values Parameters Illustrating Runtime Parameters Object @functions Using Object @functions in Queries Applying the Aggregate Awareness Optimization Method Using Other @ Functions Navigation Paths Defining Drill Down Navigation Paths Derived Tables Creating Derived Tables Key Awareness Defining Numeric Keys Universe Management with Data Foundation and Business Layer Views Managing a Universe using the Data Foundation View Managing a Universe using the Business Layer View Universe Optimization Optimizing Universes Using Parameters Universe Deployment and Security Deploying a Universe Securing a Published Universe Creating Data Security Profiles Creating Business Security Profiles Assigning Security Profiles to Users Identifying the Priority of Security Settings Updating a Published Universe SQL Clause Processing Problems Determining How the Order of SQL Clauses Affects Data Returned Detecting Ambiguity Caused by SQL Requests Run Against Joined Tables Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Identifying Fan Traps Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Outer Join Problem Resolution Resolving an Ambiguous Outer Join Using @AggregateAware Universe Creation from Different Data Sources Identifying the Different Data Sources Creating an OLAP Universe Creating a Multi-source Universe Shared Projects Using Shared Projects Manipulating Other Designers' Resources Universe Conversion Converting Existing .unv Universes Translation Deploying Universes in Different Languages

Master web application security testing and become a successful bug hunter

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Data Analysis and Data Tools bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 30 course mega bundle that will exceed your expectations within your budget. The Data Analysis and Data Tools related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Data Analysis and Data Tools bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Analysis and Data Tools Bundle consists of the following 25 CPD Accredited Premium courses - Course 1: Basic Data Analysis Course 2: Excel Data Analysis Course 3: 2021 Python Programming From A-Z: Beginner To Expert Course 4: Python Data Science with Numpy, Pandas and Matplotlib Course 5: 2021 Data Science & Machine Learning with R from A-Z Course 6: Mastering SQL Programming Course 7: Statistics & Probability for Data Science & Machine Learning Course 8: Quick Data Science Approach from Scratch Course 9: R Programming for Data Science Course 10: Learn Python, JavaScript, and Microsoft SQL for Data science Course 11: Google Data Studio: Data Analytics Course 12: Introduction to Excel Data Tools and Data Management Course 13: Data Center Training Essentials: General Introduction Course 14: Web Scraping and Mapping Dam Levels in Python and Leaflet Course 15: Microsoft Power BI - Master Power BI in 90 Minutes! Course 16: PowerBI Formulas Course 17: Business Intelligence and Data Mining Course 18: Financial Ratio Analysis for Business Decisions Course 19: Research Methods in Business Course 20: Cyber Security Incident Handling and Incident Response Course 21: Microsoft Azure 2017 Course 22: AZ-104: Microsoft Azure Administrator Course 23: Microsoft Azure Cloud Concepts Course 24: Advanced Excel Analytics Course 25: Microsoft Access Tables and Queries 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1:Career Development Plan Fundamentals Course 2:CV Writing and Job Searching Course 3:Interview Skills: Ace the Interview Course 4:Video Job Interview for Job Seekers Course 5:Create a Professional LinkedIn Profile Learning Outcome This tailor-made Data Analysis and Data Tools bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Data Analysis and Data Tools Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Analysis and Data Tools bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Data Analysis and Data Tools Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

This is a hands-on comprehensive course for beginners and in just four hours, this course will teach you Cosmos DB concepts and environment. You will be able to create an account, change configurations according to best practices, and add/modify data using UI. Gain a fair understanding of Azure Cosmos DB Service with the help of this course.

Level 5 QLS Endorsed | 150 CPD Points| +Gifts: QLS Certificate + PDF Certificate | Lifetime Access| 24/7 Learner Support

Develop the most in-demand skills for DevOps and cloud professionals