725 Computing & Software Development Tools courses in Mansfield Woodhouse delivered Online

Description Database design organizes the data according to the database demand. Do you want to know how it works? How it separate important and unimportant data? Your all questions will be solved if you look at the Database Design for Beginners course. The course will teach you the basic concepts of designs and assist you to choose the data what you should store and how it is interrelated with each other. It also allows you to learn how to make it fit in the database model. It shows how to search and administrate the information, turn information items into column, and refine the designs. At the end of the course, you can at least get an idea about how to maintain data in the database with a logical gesture. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Database Design for Beginners is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Database Design for Beginners is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:03:00 Database Basics Overview 00:01:00 What is a Database? 00:03:00 Different Types of Databases 00:12:00 The Process of Database Design 00:08:00 Normalizing Overview - Normalizing 00:01:00 What is Normalization? 00:02:00 Basic Steps to Normalization 00:05:00 A. Brainstorm 00:01:00 B. Organize 00:03:00 C. Eliminate Repetition 00:12:00 D. Assign Relationships 00:01:00 D1. One to One Relationship 00:06:00 D2. One to Many Relationship 00:04:00 D3. Many to Many Relationship 00:06:00 Relating Tables with IDs 00:02:00 Examples of Bad Design 00:15:00 Examples of Good Design 00:06:00 Design Rules 00:05:00 Conclusion Conclusion 00:04:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Are you fascinated by the world of financial crime? Ready to delve into the intricate art of investigation? Our comprehensive Financial Investigator Training is designed just for you! Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In the Financial Investigator Training, learners will explore the fundamentals of financial investigation, including the various types and characteristics of financial crimes. They will gain a comprehensive understanding of the laws and regulations aimed at combating financial fraud. Through practical exercises, they will develop skills in collecting, preserving, and analyzing evidence crucial to financial investigations. Additionally, participants will learn about the role and responsibilities of a financial investigator, along with the essential components of a financial crime response plan. This curriculum equips learners with the knowledge and techniques necessary to identify, investigate, and respond to various forms of financial crime effectively. Course Curriculum Module 01: Introduction to Financial Investigation Module 02: Introduction to Financial Investigator Module 03: Categories of Financial Crimes Module 04: Characteristics of Financial Crimes Module 05: Laws against Financial Fraud Module 06: Collecting, Preserving and Gathering Evidence Module 07: Financial Crime Response Plan Learning Outcomes: Identify key concepts in financial investigation techniques for introductory understanding. Recognize the role and responsibilities of a financial investigator proficiently. Classify various types of financial crimes accurately and categorically. Describe essential characteristics distinguishing different forms of financial crimes concisely. Summarise relevant laws concerning financial fraud adequately and comprehensively. Demonstrate proficiency in collecting, preserving, and handling evidentiary material meticulously. CPD 10 CPD hours / points Accredited by CPD Quality Standards Financial Investigator Training 1:09:40 1: Module 01: Introduction to Financial Investigation 07:23 2: Module 02: Introduction to Financial Investigator 13:01 3: Module 03: Categories of Financial Crimes 12:14 4: Module 04: Characteristics of Financial Crimes 07:40 5: Module 05: Laws against Financial Fraud 10:39 6: Module 06: Collecting, Preserving and Gathering Evidence 07:30 7: Module 07: Financial Crime Response Plan 10:13 8: CPD Certificate - Free 01:00 Who is this course for? Law enforcement professionals seeking financial investigation specialisation. Financial analysts aiming to broaden their skill set in investigation techniques. Compliance officers wishing to enhance their understanding of financial crimes. Legal professionals interested in gaining expertise in financial fraud investigation. Anyone looking to pursue a career in financial crime investigation. Career path Financial Investigator Fraud Analyst Compliance Officer Intelligence Analyst Law Enforcement Officer Forensic Accountant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you fascinated by the world of financial crime? Ready to delve into the intricate art of investigation? Our comprehensive Financial Investigator Training is designed just for you! Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In the Financial Investigator Training, learners will explore the fundamentals of financial investigation, including the various types and characteristics of financial crimes. They will gain a comprehensive understanding of the laws and regulations aimed at combating financial fraud. Through practical exercises, they will develop skills in collecting, preserving, and analyzing evidence crucial to financial investigations. Additionally, participants will learn about the role and responsibilities of a financial investigator, along with the essential components of a financial crime response plan. This curriculum equips learners with the knowledge and techniques necessary to identify, investigate, and respond to various forms of financial crime effectively. Course Curriculum Module 01: Introduction to Financial Investigation Module 02: Introduction to Financial Investigator Module 03: Categories of Financial Crimes Module 04: Characteristics of Financial Crimes Module 05: Laws against Financial Fraud Module 06: Collecting, Preserving and Gathering Evidence Module 07: Financial Crime Response Plan Learning Outcomes: Identify key concepts in financial investigation techniques for introductory understanding. Recognize the role and responsibilities of a financial investigator proficiently. Classify various types of financial crimes accurately and categorically. Describe essential characteristics distinguishing different forms of financial crimes concisely. Summarise relevant laws concerning financial fraud adequately and comprehensively. Demonstrate proficiency in collecting, preserving, and handling evidentiary material meticulously. CPD 10 CPD hours / points Accredited by CPD Quality Standards Financial Investigator Training 1:09:40 1: Module 01: Introduction to Financial Investigation 07:23 2: Module 02: Introduction to Financial Investigator 13:01 3: Module 03: Categories of Financial Crimes 12:14 4: Module 04: Characteristics of Financial Crimes 07:40 5: Module 05: Laws against Financial Fraud 10:39 6: Module 06: Collecting, Preserving and Gathering Evidence 07:30 7: Module 07: Financial Crime Response Plan 10:13 8: CPD Certificate - Free 01:00 Who is this course for? Law enforcement professionals seeking financial investigation specialisation. Financial analysts aiming to broaden their skill set in investigation techniques. Compliance officers wishing to enhance their understanding of financial crimes. Legal professionals interested in gaining expertise in financial fraud investigation. Anyone looking to pursue a career in financial crime investigation. Career path Financial Investigator Fraud Analyst Compliance Officer Intelligence Analyst Law Enforcement Officer Forensic Accountant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the fundamentals of Investment Banking with our comprehensive course designed for aspiring financial professionals. Whether you're starting your career or aiming to deepen your understanding, our "Introduction to Investment Banking" covers everything you need to know. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access This course on Introduction to Investment Banking covers essential topics that equip learners with a deep understanding of the field. Students will gain knowledge about the principles and practices of investment banking, including its ethical considerations. They will explore the intricate structures and various aspects involved in investment banking operations. A focus on valuation methods will enable learners to assess the worth of companies and assets accurately. They will also delve into the processes of Initial Public Offerings (IPOs), understanding how companies go public. Additionally, the course covers Merger and Acquisition (M&A) transactions, providing insights into how companies merge or acquire others. Lastly, learners will study Leveraged Buyouts (LBOs), learning about the financial strategies used to acquire companies using borrowed funds. Overall, this curriculum offers a comprehensive foundation in investment banking, preparing students for roles where financial expertise and strategic insights are crucial. Course Curriculum Module 01: Introduction to Investment Banking Module 02: Ethics in Investment Banking Module 03: Structure and Sides of Investment Banking Module 04: Valuation Methods in Investment Banking Module 05: Initial Public Offering (IPO) Module 06: Merger and Acquisition (M&A) Module 07: Leveraged Buyout (LBO) Learning Outcomes: Understand fundamentals of Investment Banking operations and terminology. Apply ethical principles in various scenarios within Investment Banking. Analyse the structure and functions of Investment Banking organisations. Utilise different valuation methods for financial analysis in Investment Banking. Evaluate processes involved in Initial Public Offerings (IPOs) in Investment Banking. Examine strategies and implications of Mergers and Acquisitions (M&A) in finance. CPD 10 CPD hours / points Accredited by CPD Quality Standards Introduction to Investment Banking 1:30:20 1: Module 01: Introduction to Investment Banking 10:10 2: Module 02: Ethics in Investment Banking 09:03 3: Module 03: Structure and Sides of Investment Banking 08:58 4: Module 04: Valuation Methods in Investment Banking 18:51 5: Module 05: Initial Public Offering (IPO) 18:13 6: Module 06: Merger and Acquisition (M&A) 10:07 7: Module 07: Leveraged Buyout (LBO) 13:58 8: CPD Certificate - Free 01:00 Who is this course for? Graduates seeking finance sector careers. Professionals in finance exploring Investment Banking. Individuals interested in financial markets and corporate finance. Business students focusing on finance and banking. Anyone aiming for roles in financial advisory services. Career path Investment Analyst Corporate Finance Manager Mergers and Acquisitions Specialist Financial Advisor Equity Research Analyst Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Are you fascinated by the world of financial crime? Ready to delve into the intricate art of investigation? Our comprehensive Financial Investigator Training is designed just for you! Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In the Financial Investigator Training, learners will explore the fundamentals of financial investigation, including the various types and characteristics of financial crimes. They will gain a comprehensive understanding of the laws and regulations aimed at combating financial fraud. Through practical exercises, they will develop skills in collecting, preserving, and analyzing evidence crucial to financial investigations. Additionally, participants will learn about the role and responsibilities of a financial investigator, along with the essential components of a financial crime response plan. This curriculum equips learners with the knowledge and techniques necessary to identify, investigate, and respond to various forms of financial crime effectively. Course Curriculum Module 01: Introduction to Financial Investigation Module 02: Introduction to Financial Investigator Module 03: Categories of Financial Crimes Module 04: Characteristics of Financial Crimes Module 05: Laws against Financial Fraud Module 06: Collecting, Preserving and Gathering Evidence Module 07: Financial Crime Response Plan Learning Outcomes: Identify key concepts in financial investigation techniques for introductory understanding. Recognize the role and responsibilities of a financial investigator proficiently. Classify various types of financial crimes accurately and categorically. Describe essential characteristics distinguishing different forms of financial crimes concisely. Summarise relevant laws concerning financial fraud adequately and comprehensively. Demonstrate proficiency in collecting, preserving, and handling evidentiary material meticulously. CPD 10 CPD hours / points Accredited by CPD Quality Standards Financial Investigator Training 1:09:40 1: Module 01: Introduction to Financial Investigation 07:23 2: Module 02: Introduction to Financial Investigator 13:01 3: Module 03: Categories of Financial Crimes 12:14 4: Module 04: Characteristics of Financial Crimes 07:40 5: Module 05: Laws against Financial Fraud 10:39 6: Module 06: Collecting, Preserving and Gathering Evidence 07:30 7: Module 07: Financial Crime Response Plan 10:13 8: CPD Certificate - Free 01:00 Who is this course for? Law enforcement professionals seeking financial investigation specialisation. Financial analysts aiming to broaden their skill set in investigation techniques. Compliance officers wishing to enhance their understanding of financial crimes. Legal professionals interested in gaining expertise in financial fraud investigation. Anyone looking to pursue a career in financial crime investigation. Career path Financial Investigator Fraud Analyst Compliance Officer Intelligence Analyst Law Enforcement Officer Forensic Accountant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the fundamentals of Investment Banking with our comprehensive course designed for aspiring financial professionals. Whether you're starting your career or aiming to deepen your understanding, our "Introduction to Investment Banking" covers everything you need to know. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access This course on Introduction to Investment Banking covers essential topics that equip learners with a deep understanding of the field. Students will gain knowledge about the principles and practices of investment banking, including its ethical considerations. They will explore the intricate structures and various aspects involved in investment banking operations. A focus on valuation methods will enable learners to assess the worth of companies and assets accurately. They will also delve into the processes of Initial Public Offerings (IPOs), understanding how companies go public. Additionally, the course covers Merger and Acquisition (M&A) transactions, providing insights into how companies merge or acquire others. Lastly, learners will study Leveraged Buyouts (LBOs), learning about the financial strategies used to acquire companies using borrowed funds. Overall, this curriculum offers a comprehensive foundation in investment banking, preparing students for roles where financial expertise and strategic insights are crucial. Course Curriculum Module 01: Introduction to Investment Banking Module 02: Ethics in Investment Banking Module 03: Structure and Sides of Investment Banking Module 04: Valuation Methods in Investment Banking Module 05: Initial Public Offering (IPO) Module 06: Merger and Acquisition (M&A) Module 07: Leveraged Buyout (LBO) Learning Outcomes: Understand fundamentals of Investment Banking operations and terminology. Apply ethical principles in various scenarios within Investment Banking. Analyse the structure and functions of Investment Banking organisations. Utilise different valuation methods for financial analysis in Investment Banking. Evaluate processes involved in Initial Public Offerings (IPOs) in Investment Banking. Examine strategies and implications of Mergers and Acquisitions (M&A) in finance. CPD 10 CPD hours / points Accredited by CPD Quality Standards Introduction to Investment Banking 1:30:20 1: Module 01: Introduction to Investment Banking 10:10 2: Module 02: Ethics in Investment Banking 09:03 3: Module 03: Structure and Sides of Investment Banking 08:58 4: Module 04: Valuation Methods in Investment Banking 18:51 5: Module 05: Initial Public Offering (IPO) 18:13 6: Module 06: Merger and Acquisition (M&A) 10:07 7: Module 07: Leveraged Buyout (LBO) 13:58 8: CPD Certificate - Free 01:00 Who is this course for? Graduates seeking finance sector careers. Professionals in finance exploring Investment Banking. Individuals interested in financial markets and corporate finance. Business students focusing on finance and banking. Anyone aiming for roles in financial advisory services. Career path Investment Analyst Corporate Finance Manager Mergers and Acquisitions Specialist Financial Advisor Equity Research Analyst Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

Description Here at iStudy, we put our heart and soul into every single course we design. We make sure that all our courses are designed and developed by industry experts. Our aim is to always provide value to our learners with quality courses. Our learners are our top priority, and you as a learner will gain tremendous knowledge and skill on this topic from this Microsoft Advertising Course. The certification that you will receive upon completing this Microsoft Advertising Course will help to boost your resume and will help you stand out among your peers in the competitive job market. Our course will help you get employed in the relevant field and advance your career. Enjoy this expertly made course from iStudy. Enrol now! Why You Should Choose Microsoft Advertising Course Lifetime access to the course No hidden fees or exam charges Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Microsoft Advertising Course is CPD Qualification Standards and CiQ accredited, and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Microsoft Advertising Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Introduction to Microsoft Ads Training Lesson 1 - Microsoft Ads Training 00:02:00 Lesson 2 - Microsoft Ads Training 00:02:00 Lesson 3 - Microsoft Ads Training 00:01:00 Lesson 4-5 - Microsoft Ads Training 00:02:00 Lesson 6-10 - Microsoft Ads Training 00:07:00 Lesson 11-15 - Microsoft Ads Training 00:11:00 Lesson 16-20 - Microsoft Ads Training 00:06:00 Lesson 21-25 - Microsoft Ads Training 00:07:00 Lesson 26-30 - Microsoft Ads Training 00:06:00 Lesson 31-35 - Microsoft Ads Training 00:06:00 Lesson 36-40 - Microsoft Ads Training 00:06:00 Lesson 41-45 - Microsoft Ads Training 00:06:00 Lesson 46-50 - Microsoft Ads Training 00:06:00 Resource - Introduction to Microsoft Ads Training 00:00:00

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Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. 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