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Duration 5 Days 30 CPD hours This course is intended for Data Warehouse Administrator Database Administrators Support Engineer Technical Administrator Technical Consultant Overview Use Oracle Flashback Technologies to recover from human error Use Recovery Manager (RMAN) to create backups and perform recovery operations Use the Data Recovery Advisor to diagnose and repair failures Plan effective backup and recovery procedures Describe the Oracle Database architecture components related to backup and recovery operations Perform an encrypted database backup and restore Perform tablespace point-in-time recovery Configure the database for recoverability Describe Cloud Tooling for Backup and Recovery Describe Oracle Database backup methods and recovery operations that can be used to resolve database failure In this Oracle Database 12c R2: Backup and Recovery Workshop, students learn how to perform backup and recovery based on the related Oracle Database architecture components. Various backup, failure, restore, and recovery scenarios are provided so that students learn to evaluate their own recovery requirements and develop an appropriate strategy for backup and recovery procedures. This course includes an interactive workshop, with scenarios that provide participants with opportunities to diagnose and recover from several failure situations. Introduction Curriculum Context Assess your recovery requirements Categories of failures Oracle backup and recovery solutions Oracle Maximum Availability Architecture Oracle Secure Backup Benefits of using Oracle Data Guard Basic Workshop Architecture Getting Started Core Concepts of the Oracle Database, critical for Backup and Recovery Oracle DBA Tools for Backup and Recovery Connecting to Oracle Recovery Manager (RMAN) Configuring for Recoverablility RMAN commands Configuring and managing persistent settings Using the Fast Recovery Area (FRA) Control File Redo Log File Archiving Logs Using the RMAN Recovery Catalog Creating and Configuring the Recovery Catalog Managing Target Database Records in the Recovery Catalog Using RMAN Stored Scripts Maintaining and Protecting the Recovery Catalog Virtual Private Catalogs Backup Strategies and Terminology Backup Solutions Overview and Terminology Balancing Backup and Restore Requirements Backing Up Read-Only Tablespaces Data Warehouse Backup and Recovery: Best Practices Additional Backup Terminology Performing Backups RMAN Backup Types Incrementally Updated Backups Fast Incremental Backup Block Change Tracking Oracle-Suggested Backup Reporting on Backups Managing Backups Improving Your Backups Compressing Backups Using a Media Manager Backup and Restore for Very Large Files Creating RMAN Multi-section Backups, Proxy Copies, Duplexed Backup Sets and Backups of Backup Sets Creating and Managing Archival Backups Backing Up Recovery Files Backing Up the Control File to a Trace File Cataloging Additional Backup Files Using RMAN-Encrypted Backups Creating RMAN-Encrypted Backups Using Transparent-Mode Encryption Using Password-Mode Encryption Using Dual-Mode Encryption Diagnosing Failures Reducing Problem Diagnosis Time Automatic Diagnostic Repository Data Recovery Advisor Handling Block Corruption Restore and Recovery Concepts Restoring and Recovering Instance Failure and Instance/Crash Recovery Media Failure Complete Recovery (Overview) Point-in-Time Recovery (Overview) Recovery with the RESETLOGS Option Performing Recovery, Part I RMAN Recovery in NOARCHIVELOG Mode Performing Complete Recovery (of critical and noncritical data files) Restoring ASM Disk Groups Recovery with Image Files Performing Point-in-Time (PITR) or Incomplete Recovery Performing Recovery, Part II Recovery of Server Parameter File, Control File (One and All) Redo Log File Loss and Recovery Password Authentication File Re-creation Index, Read-Only Tablespace, and Temp file Recovery Restoring the Database to a New Host Disaster Recovery Restoring RMAN Encrypted Backups RMAN and Oracle Secure Backup Oracle Secure Backup Overview and Interface Options RMAN and OSB: Overview and Basic Process Flow Starting with Oracle Secure Backup Configuring Oracle Secure Backup for RMAN RMAN Backup and Restore Operations Oracle Secure Backup Jobs Displaying OSB log files and transcripts for RMAN activities Using Flashback Technologies Flashback Technology: Overview and Setup Using Flashback Technology to Query Data Flashback Table Flashback Transaction (Query and Back out) Flashback Drop and the Recycle Bin Flashback Data Archive Using Flashback Database Flashback Database Architecture Configuring Flashback Database Performing Flashback Database Best Practices for Flashback Database Transporting Data Transporting Data Across Platforms Transporting Data with Backup Sets Database Transport: Using Data Files Performing Point-in-Time Recovery When to use TSPITR TSPITR Architecture Performing RMAN TS Point-in-time Recovery Recovering Tables from Backups Duplicating a Database Using a Duplicate Database Duplicating Database with 'push' and 'pull' techniques Choosing Database Duplication Techniques Creating a Backup-up Based Duplicate Database Understanding the RMAN Duplication Operation RMAN Troubleshooting and Tuning Interpreting RMAN Message Output Tuning Principles Diagnosing Performance Bottlenecks RMAN Multiplexing Restore and Recovery Performance Best Practices Cloud Tooling for Backup and Recovery Backup Destinations Customize Backup Configuration On-Demand Backup and Recovery Oracle Backup Cloud Service Installing the Backup Module Backup and Recovery Workshop Workshop Structure and Approach Business Requirements for Database Availability and Procedures Diagnosing the Failures

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Our Learn Google Analytics-From a Beginner to becoming a Pro course is a Complete beginner guide to this amazing free tool. You will learn right from setting up your Google Analytics Account to diving deeper into Google Analytics & reporting.  Google's free web analytics service allows you to extract detailed insights about the visitors on your website. It is a very powerful tool that can be used to develop more content and even marketing strategies to boost sales.  Businesses nowadays rely extensively on web-based platforms to reach more customers and improve sales. So relevant knowledge on using Google Analytics can give you the extra edge you need to land your desired job.  The course is structured into simple tutorials with a practical hands-on look at the Google Analytics interface. So, beginners will have no trouble understanding how to work with Google Analytics.

A must course for every professional in today's world, learn what (AML) Anti-Money Laundering is, exploring various stages of money laundering and how criminal organisations disguise & convert their dirty money into clean money to avoid detection from regulatory bodies. You'll also learn about (CFT) Countering Financing of Terrorism, key differences between the flow of money laundering and terrorist financing methods, and how to keep yourself and your organisation protected from money laundering & terrorist financing abuse. Understand the importance of (KYC) Know Your Customer & (KYCC) Know Your Customer's Customer requirements, learn about compliance requirements for individual/personal customers and corporate customers, learn about UBO' s (Ultimate Beneficial Owners) and what supporting documents are to be collected based on international best practices.  This course will guide you on how to identify and write suspicious activity and transaction reports, identify suspicious activities of customers and report proactively to assist regulatory bodies. Understand the definition of a PEP/FPEP (Politically Exposed Persons/Foreign Politically Exposed Persons) and when and how to conduct EDD (Enhanced Due Diligence). This course will help you manage regulatory expectations proactively and secure your profession, your organisation & businesses from the risk of money laundering and terrorist financing abuse.

Professional Certificate in Organisational Theory Underpinning Human Resource Management explores the theoretical foundation of human resource management. The course introduces the relationship between organisational structure and culture and how it affects the productivity and motivation of the employees. After the successful completion of this lecture, you will be able to understand the following: Understanding Organisational Structure. Types Of Organisational Structure. Impact Of HRM In Organisational Structure. Benefits Of HRM. Managing Employee Relations. Elements Of Employee Engagement. Practices To Enhance Employee Engagement. This course introduces the section on the organisational theory that underpins the function of Human Resource management. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Organisational Theory Underpinning Human Resource Management Self-paced pre-recorded learning content on this topic. QUIZ: Organisational Theory Underpinning Human Resource Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for very one eager to know more and gets updated on current ideas in the respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Human Resource Manager Talent Manager Strategy Planner Operations Manager Team Leader Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Course Overview Instagram Guides are a cross between carousels and blog posts, and are one of the latest features of the social platform. This new content discovery tool allows content creators and businesses to use republished posts, places, and product listings. The Basic Instagram Online Course will take you through how to create a powerful Instagram account to drive brand awareness and engagement, using Instagram Guides. It will explore the different ways to use Instagram Guides, promote your Instagram Guides, and increase engagement through Guides.  This course is ideal for content creators and marketers who are looking for easy ways to repurpose their content. Gain the skills and knowledge to effectively incorporate Instagram into your overall marketing strategy, by enrolling in this Instagram Guides masterclass today. This best selling Basic Instagram Online Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Basic Instagram Online Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Basic Instagram Online Course is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Basic Instagram Online Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Basic Instagram Online Course, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Instagram Online Course will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Basic Instagram Online Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Overview Excel is a widely used program in most businesses. It's more like missing out on job prospects if you don't know how to use Excel. Prepare to operate with Excel and several of its advanced functions efficiently with this exclusively designed Basic Microsoft Excel (Arabic) course. This highly acclaimed Basic Microsoft Excel (Arabic)  course aims to provide you with a rock solid understanding of Microsoft Excel. It begins by outlining the downloading procedure of the latest Office software in 2016 and 2019 releases, guiding you through the basic and advanced level components of the Excel program. You'll learn how to use Excel strategies to keep massive data collections organised in a list or table and speed up your office work. It will teach you how to make the most of Excel's powerful features and prepare you for future opportunities. Enroll right now to enhance your Excel skills and become a more effective contributor to your company. This best selling Basic Microsoft Excel (Arabic) has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Basic Microsoft Excel (Arabic) is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Basic Microsoft Excel (Arabic) is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Basic Microsoft Excel (Arabic) is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Basic Microsoft Excel (Arabic), you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Basic Microsoft Excel (Arabic) will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Basic Microsoft Excel (Arabic) to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Overview Learn how to design and publish online material and visuals that will gain massive amounts of traffic when you take this course on Effective Website Planning. So many businesses rely on internet hubs for attracting interest or profit, so newcomers to the field need to be something special to stand out from their competitors. With the help of this training, you will be able to design a website from scratch, surpassing viewers' expectations and making it a popular reference point for tech-savvy readers. This Website Design tutorial provides the expert hints and tips that will get your site listed on all 'favourite' bars and provide the space you need to get noticed. You will be shown how to analyse other sites for comparable results, set up appropriate budgets, use SEO, formulate a content strategy, and much more. In a short time, you will become comfortable and skilled at maintaining your site and getting the results you were hoping for. This is the total learning package for new and existing website managers. This best selling Effective Website Planning has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Effective Website Planning is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Effective Website Planning is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Effective Website Planning is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Effective Website Planning, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Effective Website Planning will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Effective Website Planning to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email. 

The aim of this course is to provide learners with a comprehensive understanding of the methods and tools used for economic evaluation of healthcare costs. By the end of this course, learners will be able to critically evaluate and assess the costs and benefits of healthcare interventions, including the use of cost-effectiveness, cost-utility, and cost-benefit analysis. After the successful completion of the course, you will be able to learn about the following, Understand the Cost of Health Care Rising. Why is the cost of health care rising? Learn about limited resources for healthcare. Understand how economic data influences government decisions regarding healthcare Understand basic concepts of Health Economics Learn effectiveness from a Health Care Planner's Point of View. Understand the Framework for Economic Analysis. Learn Economic evaluation. Understand different Types of Economic Evaluation. This course provides learners with a comprehensive overview of the methods and tools used for the economic evaluation of healthcare costs. Learners will gain an understanding of the various economic evaluation techniques used to assess the costs and benefits of healthcare interventions, and how to apply them to real-world healthcare scenarios. The course covers topics such as cost-effectiveness analysis, cost-utility analysis, and cost-benefit analysis, as well as the use of decision-making frameworks and sensitivity analysis. Learners will also develop skills in communicating economic evaluation findings to stakeholders and making informed decisions about the allocation of healthcare resources. The course includes interactive activities, case studies, and quizzes to reinforce learning. This course provides learners with a comprehensive overview of the methods and tools used for the economic evaluation of healthcare costs. Learners will gain an understanding of the various economic evaluation techniques used to assess the costs and benefits of healthcare interventions, and how to apply them to real-world healthcare scenarios. The course covers topics such as cost-effectiveness analysis, cost-utility analysis, and cost-benefit analysis, as well as the use of decision-making frameworks and sensitivity analysis. Learners will also develop skills in communicating economic evaluation findings to stakeholders and making informed decisions about the allocation of healthcare resources. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Economic Evaluation of Healthcare Cost Self-paced pre-recorded learning content on this topic. Economic Evaluation of Healthcare Cost Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Healthcare Economics. Health Policy Analyst Health Services Researcher Health Insurance Analyst Healthcare Data Analyst Healthcare Management Consultant Health Equity Analyst Health Program Evaluator Health Finance Analyst Healthcare Strategy Consultant. Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Description:  The significance of Big Data in terms of web presence and advertisement is very important to reach out to your customers and potential customers. In this course, you will learn how to tweak your account to achieve the maximum result. By the end of this course, you will learn about the marketing tips, traffic, tools, and add-on that could help in your success. Who is the course for? Professionals who want to learn how to become profitable through Twitter Social Marketing People who have an interest in Social Marketing and promote through Twitter Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Understanding Big Data Course will be very beneficial and helpful, especially to the following careers: Businessman Marketing and Promotions Specialist Marketing Manager Online Content Creator Sales Manager Sales and Promotions Specialist Social Media Specialist. Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day 01:00:00 Why Is Big Data Important? 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Mock Exam Mock Exam-Understanding Big Data 00:20:00 Final Exam Final Exam-Understanding Big Data 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00