138 Data Processing courses in Bristol delivered Online

This course is designed for front line data processors and provides a clear introduction to the main elements of the GDPR, including compliance and the consequences of non-compliance. It explains the roles of key players and covers the main categories of personal data and the lawful basis for data processing. Other topics examined include the main Principles of the GDPR and the Rights for Individuals, along with the importance of your Privacy Policy. Finally, there’s important information on data breaches; how to avoid them, what to do if one is discovered and how to file a breach report.

***Master in Data Privacy: Become a GDPR Compliance Expert*** In today's data-driven world, navigating the complexities of data privacy regulations is crucial. A recent study revealed that 87% of consumers globally expect businesses to take responsibility for protecting their personal data. The Compliance (GDPR) course empowers you to excel in this critical area. This comprehensive "Compliance (GDPR)" bundle empowers you to become a confident data protection champion. Through a series of in-depth modules, you'll gain a thorough understanding of the GDPR's core principles, legal requirements, and best practices for data processing. Learning Outcomes By completing this course, you will be able to: Identify and define personal data according to the Compliance (GDPR) framework. Explain the lawful basis for processing personal data under Compliance (GDPR). Describe the rights of individuals under Compliance (GDPR), including the right to access, rectification, and erasure. Outline the procedures for responding to data breaches under Compliance (GDPR). Identify the key responsibilities and obligations of organizations under Compliance (GDPR). Develop a plan to implement and maintain a Compliance (GDPR) program within your organization. The Compliance (GDPR) course delves into the core concepts of the GDPR, providing a clear understanding of its regulations for Compliance (GDPR). You'll explore the different categories of personal data, the legal basis for processing data under Compliance (GDPR), and the rights afforded to individuals under the GDPR. The course also examines the importance of data breach notification procedures within Compliance (GDPR) and outlines the steps organizations must take to mitigate risks. Moving forward, the course equips you with the knowledge to implement a robust Compliance (GDPR) program. You'll gain insights into the responsibilities and obligations of organizations, allowing you to develop strategies for data protection and risk mitigation. This course is designed to be informative and engaging, providing you with the theoretical foundation you need to excel in the field of data privacy. Curriculum Breakdown of the Compliance (GDPR) Course Module 01: GDPR Basics Module 02: GDPR Explained Module 03: Lawful Basis for Preparation Module 04: Rights and Breaches Module 05: Responsibilities and Obligations CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for: Business professionals involved in data collection and processing (data collection, data processing, data lifecycle management). Individuals responsible for data security and privacy within their organizations (data security, data privacy, data security and privacy officer, data protection officer role). Anyone seeking a comprehensive understanding of the GDPR and its implications (GDPR implications, GDPR for businesses). Marketing and sales professionals who handle customer data (customer data management, customer consent). Human resources professionals who manage employee data (employee data management, employee privacy rights). IT professionals involved in data storage and security (data storage, data security professionals, data encryption). Individuals interested in pursuing a career in data privacy compliance (data privacy compliance career). Requirements No prior qualifications are required for this Compliance (GDPR) course. A basic understanding of data privacy principles is helpful but not mandatory. Career path Here are some potential career paths you can explore after completing this Compliance (GDPR) course: Data Protection Officer (DPO) Privacy Analyst Compliance Specialist Information Security Specialist Data Governance Professional Privacy Lawyer Data Privacy Consultant This Compliance (GDPR) course empowers you to take the first step towards a rewarding data privacy compliance GDPR career. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Overview of Eating Psychology Course Any data concerning a person's physical or emotional health is considered personal and sensitive. Therefore, the General Data Protection Regulation (GDPR) was introduced for data protection. This Healthcare GDPR Basics Course will give you a solid understanding of GDPR and its role and importance in healthcare. Through this Healthcare GDPR Basics Course, you'll gain valuable insights into the essential GDPR principles for healthcare data. The course will teach you about data governance frameworks, data protection policies implementation, data subject rights and balancing rights and obligations. In addition, it will take you through data breach risks in healthcare GDPR and security measures. The course also covers transferring health data under GDPR and safeguarding patient privacy in global healthcare initiatives. Course Preview Learning Outcomes Understand how GDPR can help protect health data Know what are the obligations under GDPR Discover the cybersecurity threats and prevention measures Identify the legal frameworks for international collaboration Learn the strategies to protect health data and ensure data integrity Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Healthcare GDPR Basics Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Healthcare GDPR Basics Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Healthcare GDPR Basics Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Compliance Officer Data Protection Officer (DPO) Healthcare Administrator Healthcare Consultant Legal Professional Module 1: Introduction to Healthcare GDPR Introduction to Healthcare GDPR 00:17:00 Module 2: Data Governance in Healthcare Data Governance in Healthcare 00:18:00 Module 3: Healthcare Data Subject Rights and Obligations Healthcare Data Subject Rights and Obligations 00:19:00 Module 4: Protecting Health Data Protecting Health Data 00:17:00 Module 5: GDPR Obligations and Sensitive Data GDPR Obligations and Sensitive Data 00:19:00 Module 6: Transferring Health Data Transferring Health Data 00:19:00 Module 7: Consent and Lawful Bases for Healthcare Data Processing Consent and Lawful Bases for Healthcare Data Processing 00:18:00 Module 8: Rights of Data Subjects Rights of Data Subjects 00:19:00 Module 9: Safeguarding Healthcare Data Safeguarding Healthcare Data 00:19:00 Module 10: Protecting Health Data in the Modern Age Protecting Health Data in the Modern Age 00:18:00 Module 11: Cross-Border Health Data Cross-Border Health Data 00:18:00 Module 12: Medical Research Medical Research 00:18:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Highlights of the Course Course Type: Online Learning Duration: 1 hour Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about General Data Protection Regulation Understand the core competencies and principles of General Data Protection Regulation Explore the various areas of General Data Protection Regulation Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert data processors, HR personnel, supervisors and managers GDPR This GDPR course is accredited by the CPD UK. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. The General Data Protection Regulation (GDPR) is designed to strengthen and unify the principles of data protection for all individuals within the European Union and the European Economic Area. The GDPR is an incredibly important change to data privacy regulations so understanding its correct implementation is vital for all UK businesses and organisations, and particularly for staff who regularly deal with personal data. This online course is designed specially for those front line staff and provides a clear introduction to the main elements of the GDPR, including compliance and the consequences of non-compliance. It explains the roles of key players - Data Protection Officers, Data Controllers, Data Protection Leads and Data Processors and covers the main categories of personal data, along with the six lawful bases for processing data, and how to audit the data your organisation holds. Other topics examined include the Seven Principles of the GDPR and the Eight Rights for Individuals, along with the importance of your Privacy Policy - how to construct one, and how to use it effectively when dealing with data subjects. Finally, there's important information on data breaches; how to avoid them, what to do if one is discovered and how to file a breach report. Who is this Course for? This comprehensive GDPR course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this General Data Protection Regulation can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This GDPR course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This GDPR course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This GDPR course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Module 1: Introduction Module 2: Data Processing Module 2: Data Processing Module 4: Data Subjects' Rightsgb Module 5: Data Breaches Obtain Your Certificate Order Your Certificate of Achievement 00:00:00

Duration 5 Days 30 CPD hours Overview Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. 1 - Identifying Basic Concepts of Data Schemas Identify Relational and Non-Relational Databases Understand the Way We Use Tables, Primary Keys, and Normalization 2 - Understanding Different Data Systems Describe Types of Data Processing and Storage Systems Explain How Data Changes 3 - Understanding Types and Characteristics of Data Understand Types of Data Break Down the Field Data Types 4 - Comparing and Contrasting Different Data Structures, Formats, and Markup Languages Differentiate between Structured Data and Unstructured Data Recognize Different File Formats Understand the Different Code Languages Used for Data 5 - Explaining Data Integration and Collection Methods Understand the Processes of Extracting, Transforming, and Loading Data Explain API/Web Scraping and Other Collection Methods Collect and Use Public and Publicly-Available Data Use and Collect Survey Data 6 - Identifying Common Reasons for Cleansing and Profiling Data Learn to Profile Data Address Redundant, Duplicated, and Unnecessary Data Work with Missing Value Address Invalid Data Convert Data to Meet Specifications 7 - Executing Different Data Manipulation Techniques Manipulate Field Data and Create Variables Transpose and Append Data Query Data 8 - Explaining Common Techniques for Data Manipulation and Optimization Use Functions to Manipulate Data Use Common Techniques for Query Optimization 9 - Applying Descriptive Statistical Methods Use Measures of Central Tendency Use Measures of Dispersion Use Frequency and Percentages 10 - Describing Key Analysis Techniques Get Started with Analysis Recognize Types of Analysis 11 - Understanding the Use of Different Statistical Methods Understand the Importance of Statistical Tests Break Down the Hypothesis Test Understand Tests and Methods to Determine Relationships Between Variables 12 - Using the Appropriate Type of Visualization Use Basic Visuals Build Advanced Visuals Build Maps with Geographical Data Use Visuals to Tell a Story 13 - Expressing Business Requirements in a Report Format Consider Audience Needs When Developing a Report Describe Data Source Considerations For Reporting Describe Considerations for Delivering Reports and Dashboards Develop Reports or Dashboards Understand Ways to Sort and Filter Data 14 - Designing Components for Reports and Dashboards Design Elements for Reports and Dashboards Utilize Standard Elements Creating a Narrative and Other Written Elements Understand Deployment Considerations 15 - Understand Deployment Considerations Understand How Updates and Timing Affect Reporting Differentiate Between Types of Reports 16 - Summarizing the Importance of Data Governance Define Data Governance Understand Access Requirements and Policies Understand Security Requirements Understand Entity Relationship Requirements 17 - Applying Quality Control to Data Describe Characteristics, Rules, and Metrics of Data Quality Identify Reasons to Quality Check Data and Methods of Data Validation 18 - Explaining Master Data Management Concepts Explain the Basics of Master Data Management Describe Master Data Management Processes Additional course details: Nexus Humans CompTIA Data Plus (DA0-001) 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 CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.

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Navigating the maze of healthcare data privacy in a GDPR-regulated world is no simple task. The 'Mastering Healthcare GDPR Certificate' is tailored to demystify this intricate realm, encompassing everything from data governance, to rights of data subjects, and even delving into cross-border health data intricacies. Step into the future of healthcare data compliance with a course curriculum that not only acquaints you with the basics but also explores the nuances of modern-day data protection in the medical world. Learning Outcomes Understand the foundational principles of Healthcare GDPR. Grasp the complexities of data governance within the healthcare sector. Familiarise with healthcare data subject rights, obligations, and associated GDPR guidelines. Develop knowledge on safeguarding sensitive healthcare data in various scenarios. Learn the intricacies of cross-border health data transfer and its implications. Why buy this Mastering Healthcare GDPR Certificate? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success Who is this Mastering Healthcare GDPR Certificate for? Medical professionals keen on understanding GDPR compliance. Healthcare administrators aiming to streamline data governance. Legal professionals focusing on healthcare data regulations. IT specialists in the healthcare sector looking to bolster data protection strategies. Researchers venturing into medical studies requiring data compliance. Career path Healthcare Data Compliance Officer: £35,000 - £50,000 Healthcare IT Specialist: £40,000 - £60,000 Medical Data Governance Advisor: £45,000 - £65,000 GDPR Healthcare Consultant: £50,000 - £70,000 Healthcare Legal Advisor (GDPR Specialisation): £60,000 - £85,000 Medical Research Data Analyst: £40,000 - £58,000 Prerequisites This Mastering Healthcare GDPR Certificate does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 1: Introduction to Healthcare GDPR Introduction to Healthcare GDPR 00:17:00 Module 2: Data Governance in Healthcare Data Governance in Healthcare 00:18:00 Module 3: Healthcare Data Subject Rights and Obligations Healthcare Data Subject Rights and Obligations 00:19:00 Module 4: Protecting Health Data Protecting Health Data 00:17:00 Module 5: GDPR Obligations and Sensitive Data GDPR Obligations and Sensitive Data 00:19:00 Module 6: Transferring Health Data Transferring Health Data 00:19:00 Module 7: Consent and Lawful Bases for Healthcare Data Processing Consent and Lawful Bases for Healthcare Data Processing 00:18:00 Module 8: Rights of Data Subjects Rights of Data Subjects 00:19:00 Module 9: Safeguarding Healthcare Data Safeguarding Healthcare Data 00:19:00 Module 10: Protecting Health Data in the Modern Age Protecting Health Data in the Modern Age 00:18:00 Module 11: Cross-Border Health Data Cross-Border Health Data 00:18:00 Module 12: Medical Research Medical Research 00:18:00

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