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Register on the Digital Banking for Beginners 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 Digital Banking for Beginners 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 Digital Banking for Beginners 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 After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. 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 Digital Banking for Beginners, 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 Story of Digital Banking -- An overview section Introduction 00:02:00 Moving from Traditional Banking to New-gen Banking Moving from Traditional Banking to New-gen Banking 00:08:00 Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept 00:07:00 Use of Social media in Banking and arrival of Fintech Firms Use of Social media in Banking and arrival of Fintech Firms 00:09:00 Innovative technologies IOT, AI, ML, Block-chain,, Big data etc Innovative technologies IOT, AI, ML, Blockchain,, Big data etc 00:10:00 Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank 00:11:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

About Course Ethical behaviour brings significant benefits to businesses such as attracting employees, customers and investors. But failure to manage it properly can create huge challenges. Suppose every employee knows the difference between correct or incorrect choices and how to handle various ethical dilemmas. This knowledge is likely to produce a work environment where moral transgressors are held accountable for their actions, ultimately building a healthier workplace for all involved. The course explores topics such as Ethical Decision-Making, Ethical culture in organizations, and Corporate Social Responsibilities .These provide practical information to help employees understand business issues and equip them with practical skills for success. Ethics will be formally defined, and the presenter will discuss the sources of ethical dilemmas and the stakeholder's importance when addressing a problem. Enrol now and strengthen yourself against Unethical practices in Business. What Will You Learn? Define 'Ethics' Ethical models and philosophical frameworks for clear decision making. The correct use and protection of Big Data within your company . The ethical issues of Digital Marketing in business and how you can integrate it safely and morally. How to implement ethical principles during crisis events. Course Content Introduction to Business Ethics Introduction to Business Ethics Ethical Decision-Making Ethical Decision-Making Ethical Culture in Organizations Ethical Culture in Organizations Business Ethics in the Digital Age Business Ethics in the Digital Age Corporate Social Responsibility Corporate Social Responsibility Conclusion Conclusion A course by Xpert Learning RequirementsNo specific requirements. Audience Business Professionals Audience Business Professionals

Take the initial steps toward a successful long-term career by studying the IT package online with StudyHub through our online learning platform. After completing extensive research, we designed this customised IT course to ease your journey toward your goal. The IT course covers all of the latest information to keep you ahead of the job market and prepare you for the next step. The IT bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This IT Training Bundle consists the following career oriented courses: Course 01: IT Support Technician Course 02: Network Security and Risk Management Course 03: CompTIA Network Course 04: Information Management Course 05: Web Application Penetration Testing Course Course 06: CompTIA Cloud+ (CV0-002) Course 07: Learn Ethical Hacking From A-Z: Beginner To Expert Course 08: Computer Operating System and Troubleshooting Course 09: Building Your Own Computer Course Course 10: It: Ethical Hacking, IT Security and IT Cyber Attacking Course 11: SQL Database Administrator Course 12: MS Word Essentials - The Complete Word Course - Level 3 Course 13: Data Protection (GDPR) Practitioner Course 14: Website Hacking From Scratch Course 15: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Course 16: Data Science and Visualisation with Machine Learning Course 17: SQL For Data Analytics & Database Development Course 18: PLC Programming Diploma Course 19: Cyber Security Incident Handling and Incident Response Course 20: Cyber Security Law Course 21: C# (C-Sharp) Course 22: Web Design (HTML, CSS, Bootstrap) Complete Course Course 23: Python Course Course 24: JavaScript Course 25: ASP.Net MVC and Entity Framework Course Course 26: Learn Spring & Angular Material with a Full Web Application Course 27: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 28: Project on Deep Learning - Artificial Neural Network (ANNs) Course 29: Build Progressive Web Apps with Angular Course 30: Microsoft SQL Server Development for Everyone! Course 31: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 32: Microsoft Azure Machine Learning Course 33: Linux Basics Course 34: Linux File Management System Course 35: C Programming Language for Beginners on Linux Course 36: Linux Security and Hardening Course 37: Linux Shell Scripting Course 38: Learn Ethical Hacking From A-Z: Beginner To Expert Course 39: Securing an Ubuntu Linux Server against Hackers Masterclass Course 40: Python 3 Programming The IT Training Bundle has been prepared by focusing largely on career readiness. The IT course has been prepared by focusing largely on career readiness. It has been designed by our IT specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided with IT, if it's required by any learners. Certification After studying the complete training, you will be able to participate in the course assessment, which is included in the course. After completing the assessment, you can claim all courses pdf certificates for free. Hard Copy certificates need to be ordered at an additional cost of •8. CPD 400 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT Training course is suitable for - Students Recent graduates Job Seekers further progress towards NCFE Level 3 Diploma in Skills for Business: IT Requirements There is no formal qualification needed for this IT Training course. Career path You will be able to achieve a lucrative career because this IT Training Bundle includes various courses as a bonus. Certificates Certificate of completion Digital certificate - Included

Register on the Social Media in Healthcare 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 proof of your course completion. The Social Media in Healthcare 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 Social Media in Healthcare 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 Social Media in Healthcare, 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 Module 01: Social Media and Communication Social Media and Communication 00:17:00 Module 02: Social Media, Big Data and E-Healthcare Social Media, Big Data and E-healthcare 00:17:00 Module 03: Medical Social Media Medical Social Media 00:22:00 Module 04: Medical Social Media: Content, Characteristics and Appearance Medical Social Media: Content, Characteristics and Appearance 00:20:00 Module 05: Participatory Health through Social Media Participatory Health through Social Media 00:22:00 Module 06: Use of Social Media by Hospitals and Health Authorities Use of Social Media by Hospitals and Health Authorities 00:21:00 Module 07: Social Media and Health Behaviour Change Social Media and Health Behaviour Change 00:23:00 Module 08: Gamification and Behavioural Change: Techniques for Health Social Media Gamification and Behavioural Change: Techniques for Health Social Media 00:23:00 Module 09: Applications Applications 00:22:00 Assignment Assignment - Social Media in Healthcare 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

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 Science and Data Analytics 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 33 course mega bundle that will exceed your expectations within your budget. The Data Science and Data Analytics 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 Science and Data Analytics bundle will help you build a solid foundation to become a proficient worker in the sector. This Data Science and Data Analytics Bundle consists of the following 30 CPD Accredited Premium courses - Course 01:SQL Programming Masterclass Course 02:SQL Server for Beginners Course 03:SQL NoSQL Big Data and Hadoop Course 04:Microsoft SQL Server Development for Everyone Course 05:Javascript Programming for Beginners Course 06:Master JavaScript with Data Visualization Course 07:Computer Vision: C++ and OpenCV with GPU support Course 08:Functional Skills IT Course 09:CompTIA Healthcare IT Technician Course 10:Basic Google Data Studio Course 11:Data Analytics with Tableau Course 12:Recovering from a Job Loss in Technology Course 13:AutoCAD Programming using C# with Windows Forms Course 14:AutoCAD Programming using VB.NET with Windows Forms Course 15:AutoCAD to Excel - VBA Programming Hands-On! Course 16:AutoCAD VBA Programming - Beginner course Course 17:IT Support Technician Training Course 18:Admin Support Assistant Course 19:Building Your Own Computer Course Course 20:Neuro-linguistic Programming (NLP) Diploma Course 21:Cyber Security Incident Handling and Incident Response Course 22:Computer Networks Security Course 23:IT Asset Department Course 24:C# Programming - Beginner to Advanced Course 25:jQuery: JavaScript and AJAX Coding Bible Course 26:Kotlin Programming : Android Coding Course 27:Quick Data Science Approach from Scratch Course 28:Secure Programming of Web Applications Course 29:A-Frame Web VR Programming Course 30:Complete AutoLISP Programming 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Career Development Plan Fundamentals Course 02: CV Writing and Job Searching Course 03: Interview Skills: Ace the Interview Learning Outcome This tailor-made Data Science and Data Analytics 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 Science and Data Analytics 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 330 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 Science and Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Data Science and Data Analytics 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.

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SQL Azure is Microsoft's cloud database service. Based on SQL Server database technology and built on Microsoft's Windows Azure cloud computing platform, SQL Azure enables organizations to store relational data in the cloud and quickly scale the size of their databases up or down as business needs change.  This Azure - SQL focuses primarily on Azure SQL Database as a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software. Learn how to deploy relational and non-relational databases in the cloud and explore the breadth of Azure's data services, from a single database instance to a massive scale data warehouse for working with Big data. You'll gain an understanding of how to configure firewall rules, manage log-ins and users, as well as roles and permissions, perform a database restore, and generally secure an Azure SQL database. Finally, you'll be introduced to Azure SQL Data Warehouse, a fully managed and scalable cloud service, that is compatible with other Azure offerings, such as Machine Learning and Data Factory, as well as existing SQL Server tools. What Will I Learn? Overview and provision Azure SQL Connect to Azure SQL DB and Migrate DB to Azure Work with SQL security and metrics Configure SQL DB auditing Copy and export a database Use DB Self-Service Restore and SQL DB Geo-Replication Who is the target audience? Students wanting an understanding of Azure SQL and to build their skills. Requirements Basic understanding of Azure and SQL concepts Introduction Introduction FREE 00:02:00 Azure SQL Azure SQL 00:02:00 Provisioning Azure SQL 00:06:00 Connecting to Azure SQL DB 00:08:00 Migrating to Azure DB 00:06:00 Understanding SQL Security 00:03:00 Understanding SQL DB Metrics and Auditing 00:05:00 Backing Up and Protecting your Database 00:05:00 Using SQL DB Geo-Replication 00:03:00 Conclusion Course Recap 00:02:00 Course Certification

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.