1636 Database courses in Epsom delivered Online

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

Duration 1 Days 6 CPD hours This course is intended for Individuals responsible for articulating the technical benefits of AWS services Individuals interested in learning how to get started with using AWS SysOps Administrators, Solution Architects and Developers interested in using AWS services Overview Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS). Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor. AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS. Prerequisites Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 1 - AWS introduction and history AWS Global Infrastructure Demonstration: AWS Management Console 2 - AWS Storage Identify key AWS storage options Describe Amazon EBS Create an Amazon S3 bucket and manage associated objects 3 - Compute, network and storage services Amazon Elastic Compute Cloud (EC2) Amazon Virtual Private Cloud (VPC) Amazon Simple Storage Service (S3) Amazon Elastic Block Store (EBS) Demonstration: Amazon Simple Storage Service (S3) Hands-on lab: Build your VPC and launch a web server 4 - AWS Security, AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) Demonstration: AWS Identity and Access Management (IAM) 5 - Compute Services & Networking Identify the different AWS compute and networking options Describe an Amazon Virtual Private Cloud (VPC) Create an Amazon EC2 instance Use Amazon EBS with Amazon EC2 6 - Managed Services & Database Describe Amazon DynamoDB Understand key aspects of Amazon RDS Launch an Amazon RDS instance 7 - Databases (RDS, DynamoDB) SQL and NoSQL databases Data storage considerations Hands-on lab: Build your database server and connect to it 8 - AWS elasticity and management tools Auto scaling Load balancing Cloud Watch Trusted Advisor Hands-on lab: Scale and load balance your architecture 9 - Deployment and Management Identify what is CloudFormation Describe Amazon CloudWatch metrics and alarms Describe Amazon Identity and Access Management (IAM)

Duration 2 Days 12 CPD hours This course is intended for This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers. This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics. 1 - Introduction to Transact-SQL Work with schemas Explore the structure of SQL statements Examine the SELECT statement Work with data types Handle NULLs 2 - Sort and filter results in T-SQL Sort your results Limit the sorted results Page results Remove duplicates Filter data with predicates 3 - Combine multiple tables with JOINs in T-SQL Understand joins concepts and syntax Use inner joins Use outer joins Use cross joins Use self joins 4 - Write Subqueries in T-SQL Understand subqueries Use scalar or multi-valued subqueries Use self-contained or correlated subqueries 5 - Use built-in functions and GROUP BY in Transact-SQL Categorize built-in functions Use scalar functions Use ranking and rowset functions Use aggregate functions Summarize data with GROUP BY Filter groups with HAVING 6 - Modify data with T-SQL Insert data Generate automatic values Update data Delete data Merge data based on multiple tables Additional course details: Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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 DP-080T00 Querying Data with Microsoft Transact-SQL 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.

Kamailio training course description Kamailio (formerly known as OpenSER) provides a scalable SIP server suitable for small through to carrier grade installations. This course will teach you how to install, configure and troubleshoot the Kamailio product. What will you learn Install Kamailio. Control Kamailio. Configure Kamailio. Troubleshoot Kamailio. Kamailio training course details Who will benefit: Technical staff working with Kamailio. Prerequisites: Definitive SIP for engineers. UNIX fundamentals. Duration 3 days Kamailio training course contents What is Kamailio? What is SER? SER history, OpenSER, versions. Kamailio. Supported platforms, SIP review. Hands on Simple SIP telephony without a SIP server. Installing Kamailio Downloading Kamailio, Installation from source, package installation, CVS, default passwords Hands on Kamailio installation. Controlling Kamailio Starting, stopping and controlling Kamailio. Starting Kamailio automatically at boot time. Hands on Controlling the server First configuration Basic configuration. Hands on SIP telephony with Kamailio. Monitoring Logs, xlog, openserctl, syslog. Hands on Logging. Kamailio architecture Kamailio core, Kamailio modules, file locations, persistent data storage, database structure. Hands on Database integration. Core configuration Keywords, values, parameters, functions, routing blocks, constructs. Hands on Advanced Kamailio configuration. Module configuration Overview of modules available, AAA integration, least cost routing. Redirects Hands on Configuring modules. Architectures DNS integration, peering, OSP, NAT traversal, SIP to GSM. Hands on peering. Asterisk integration Altering tables to work with Asterisk, Asterisk as a voicemail system. Design issues, High availability. Hands on Integrating Kamailio with Asterisk.

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

In the digital age, email marketing remains a cornerstone for businesses aiming to engage with their audience and drive conversions. The success of any email marketing campaign largely depends on the quality of the email list used. At B2C Database, we pride ourselves on offering the best email lists in the world, tailored to meet the diverse needs of our clients. Our commitment to quality and accuracy ensures that your marketing efforts yield the highest possible returns. Unmatched Data Accuracy and Validation One of the key factors that set our email lists apart is our rigorous data accuracy and validation process. We B2C Database understand that outdated or incorrect email addresses can lead to low engagement rates and increased bounce rates. To combat this, we employ advanced data verification techniques to ensure every email address in our database is current and valid. Our team of experts continuously updates and cross-references the data to maintain its integrity, providing you with a reliable resource for your marketing campaigns. Comprehensive and Diverse Database At B2C Database, we offer a comprehensive and diverse email list that covers various industries and demographics. Whether you are targeting specific regions, age groups, or professional sectors, our extensive database has you covered. We provide detailed segmentation options that allow you to tailor your campaigns to the exact preferences and behaviors of your target audience. This level of customization ensures that your messages resonate with recipients, leading to higher engagement and conversion rates. Benefits of Using B2C Database's Email Lists Using our top-quality email lists provides numerous benefits for your marketing efforts. First and foremost, it enhances the precision of your targeting, allowing you to reach the right people with the right message. This not only improves engagement but also maximizes the return on your marketing investment. Additionally, our email lists reduce the risk of spam complaints and improve your sender reputation, ensuring that your emails are more likely to land in the inbox rather than the spam folder. With B2C Database, you can confidently launch campaigns that drive results. Conclusion: Partner with the Best In conclusion, B2C Database stands as a leader in providing the best email lists in the world. Our unwavering commitment to data accuracy, comprehensive database coverage, and detailed segmentation options make us the preferred choice for businesses looking to elevate their email marketing strategies. By partnering with us, you gain access to a powerful tool that empowers your marketing campaigns and drives business growth. Experience the difference that high-quality email lists can make with B2C Database.

Prepare for the AWS Certified Solutions Architect - Associate (SAA-C03) exam. Learn about the AWS Management Console, S3 buckets, instances, database services, cloud security, costs associated with AWS, Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).

Learn database-driven web development with Django and Python

A complete guide to the Cassandra architecture, the Cassandra query language, cluster management, and Java/Spark integration.

Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making. Learning Outcomes: Establish a strong foundation in SQL and MySQL. Set up and configure SQL Server for efficient data handling. Master SQL's Data Manipulation, Definition, and Control Language. Create and optimize SQL queries for data analysis. Perform advanced data analytics using SQL. Understand the power of GROUP BY and JOIN statements. Implement data constraints and views for data integrity and security. Develop proficiency in stored procedures, data import/export, and database backup/restore. Why buy this Learn MySQL from Scratch for Data Science and Analytics?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Learn MySQL from Scratch for Data Science and Analytics course is ideal for Aspiring Data Scientists and Analysts. Database Administrators and Developers. Students and professionals seeking to enter the field of Data Science. Anyone looking to enhance their SQL and MySQL skills for data-related roles. Prerequisites This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 per year. Database Administrator: £30,000 - £60,000 per year. SQL Developer: £30,000 - £60,000 per year. Data Scientist: £40,000 - £80,000 per year. Business Intelligence Analyst: £35,000 - £65,000 per year. Course Curriculum Learn MySQL from Scratch for Data Science and Analytics Section 01: Getting Started Introduction 00:02:00 How to get course requirements 00:01:00 Getting started on Windows, Linux or Mac 00:01:00 How to ask great questions 00:01:00 FAQ's 00:01:00 What is Source Code? 00:09:00 Section 02: SQL Server setting up Section Introduction 00:01:00 MySQL Server Installation 00:14:00 Connect MySQL Server Instance 00:06:00 MySQL Workbench overview 00:11:00 Download and Restore Sample Database 00:08:00 Section 03: SQL Database basics Section Introduction 00:01:00 Overview of Databases 00:09:00 Creating Database 00:07:00 SQL Data Types 00:04:00 Column Data Types on Workbench 00:07:00 Creating Table 00:04:00 Overview of Primary and Foreign Key 00:03:00 Primary Key 00:06:00 Foreign Key 00:12:00 Creating Temporary tables 00:12:00 EER - Enhanced Entity Relationship Diagrams 00:04:00 Section 04: SQL DML (Data Manipulation Language) Section Introduction 00:01:00 Insert statement 00:07:00 Update statement 00:06:00 Delete statement 00:03:00 Section 05: SQL DDL (Data Definition Language) Section Introduction 00:01:00 CREATE table statement 00:08:00 DROP statement 00:03:00 ALTER statement 00:05:00 TRUNCATE statement 00:03:00 COMMENT in query 00:02:00 RENAME table 00:03:00 Section 06: SQL DCL (Data Control Language) Create Database user 00:03:00 GRANT permissions 00:06:00 REVOKE permissions 00:04:00 Section 07: SQL Statement Basic Section Introduction 00:01:00 SQL Statement basic 00:03:00 SELECT Statement 00:03:00 SELECT DISTINCT 00:02:00 SELECT with column headings 00:01:00 Column AS statement 00:02:00 DASHBOARD Analytics 00:06:00 Section 08: Filtering Data rows SELECT WHERE Clause - theory 00:03:00 SELECT WHERE Clause - practical 00:06:00 Section 09: Aggregate functions for Data Analysis Sum() 00:06:00 Min()-Max() 00:03:00 Section 10: SQL Data Analyticstatements Order By statement 00:05:00 SELECT TOP 3 records 00:02:00 BETWEEN command 00:06:00 IN operator 00:03:00 Search Data usingLIKE cards 00:05:00 Section 11: SQL Group by statement Section Introduction 00:01:00 Group by - theory 00:04:00 Data Analytics with Group By 00:04:00 HAVING statement 00:03:00 Section 12: JOINS Overview of Joins 00:02:00 What are Joins 00:02:00 Inner join 00:07:00 Left outer join 00:02:00 Right outer join 00:02:00 Union 00:03:00 CERTESIAN Product or Cross Join 00:03:00 Query Exercise 00:01:00 Solution for Query Exercise 00:01:00 Section 13: SQL Constraints Section introduction 00:01:00 Check constraint 00:09:00 NOT NULL constraint 00:03:00 UNIQUE constraint 00:06:00 Section 14: Views Creating Views 00:03:00 Data Analytic Views from multiple tables 00:03:00 Section 15: Advanced SQL Functions Section Introduction 00:01:00 Timestamp 00:03:00 Extract from timestamp 00:03:00 Mathematical scalar functions 00:03:00 String functions3 00:07:00 Advanced functions 00:04:00 Sub Queries 00:03:00 SELECT with calculations 00:05:00 Section 16: SQL Stored procedures Create stored procedure 00:06:00 Stored procedure with parameter 00:03:00 Drop Procedure 00:01:00 Section 17: Import & Export data Section Introduction 00:01:00 Import .csv file 00:04:00 Export Data to .csv file 00:02:00 Section 18: Backup and Restore Database Section Introduction 00:01:00 Creating Database backup 00:02:00 Restoring Database backup 00:02:00