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Tableau Certified Data Analyst Study Guide
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Databricks Certified Data Engineer Associate Study Guide
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AWS Certified Big Data - Speciality eLearning Course
Course Description ABOUT THIS COURSE:AWS Certifications are quickly becoming the must-have credentials for every IT professional that works with AWS. The AWS Big Data – Specialty certification will not only help you gain new skills, but it will also help you position yourself for a higher-paying career or help you transition into a Big Data and Analytics expert in your present work.In this course you’ll learn how to select the right data processing technologies for large data scenarios. You’ll investigate and describe the operational aspects of large data processing, as well as how to develop and structure a data processing system.Major areas of AWS Storage Collection Processing Analysis Visualization Data Security OBJECTIVES: COLLECTIONOverview PreviewKinesis Stream EssentialsFirehose CollectionCollect Data With Kinesis AgentIoT EssentialsRules And The Rule EngineCollect Sensor DataSQS EssentialsSTORAGES3 EssentialsPermissions And EncryptionStorage Classes, Lifecycles, And PerformanceDynamoDB EssentialsRead And Write OperationsDynamoDB IndexesGlobal Tables And Conditional WritesStreamsPROCESSINGEMR EssentialsUse Hue And Hive With EMRSpark And EMRSageMaker EssentialsTraining With SageMaker NotebooksAWS Lambda EssentialsProcessing Data With LambdaData Pipeline EssentialsDatabase Migration EssentialsGlue EssentialsANALYSISElasticsearch EssentialsElasticsearch And KibanaAthena EssentialsRedshift EssentialsLoading And Unloading Data In RedshiftKinesis Analytics EssentialsVISUALIZATIONQuickSight EssentialsJavaScript Visualization From S3SECURITYIAM Basics For Big DataCloudTrail EssentialsDatabase And Storage Encryption AUDIENCE:This course is intended for students wanting to extend their knowledge of the data processing options available in AWS.PREREQUISITES:The AWS Certified Big Data - Specialty certification is for those who have at least two years of expertise with AWS technology and who do advanced Big Data analysis. COURSE OUTLINE COLLECTION Overview Kinesis Stream Essentials Firehose Collection Collect Data with Kinesis Agent IoT Essentials Rules and the Rule Engine Collect Sensor Data SQS Essentials STORAGE S3 Essentials Permissions and Encryption Storage Classes, Lifecycles, and Performance DynamoDB Essentials Read and Write Operations DynamoDB Indexes Global Tables and Conditional Writes Streams PROCESSING EMR Essentials Use Hue and Hive with EMR Spark and EMR SageMaker Essentials Training with SageMaker Notebooks AWS Lambda Essentials Processing Data with Lambda Data Pipeline Essentials Database Migration Essentials Glue Essentials ANALYSIS Elasticsearch Essentials Elasticsearch and Kibana Athena Essentials Redshift Essentials Loading and Unloading Data in Redshift Kinesis Analytics Essentials VISUALIZATION QuickSight Essentials JavaScript Visualization From S3 SECURITY IAM Basics for Big Data CloudTrail Essentials Database and Storage Encryption DURATION: 16hrs 47mins Courses Features: Expert Instructor-Led Training: We use the finest instructors in the industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courses replicate a live class experience with an instructor on screen delivering the course's theories and concepts. We utilize SAVI concepts in an interactive, multi-media delivery format to address the unique needs of the adult learner. SAVI concepts include the assessment of learning styles based on the Somatic (learning by doing), Auditory (learning by hearing), Visual (learning by seeing), and Intellectual (learning by thinking) techniques. Quizzes andamp; Practice Exams: Our certification-focused courses include quizzes and practice exams that reinforce learning objectives, measure skills growth as students progress through a course, validate knowledge as well as assess readiness before taking the official certification exam. This allows students to gain confidence in preparation for the exam and helps ensure that they pass the exam the first time around. Any Device, Anytime, Anywhere: Our courses are optimized for all mobile devices allowing students to learn on the go whenever they want. Unlike classroom-based training, student can play, pause, forward, rewind, repeat and learn at their own pace – anytime, anywhere, any device. Certificate of Completion: Upon completion of your training course, you will receive a Certificate of completion displaying your full name, course completed as well as the date of completion. You can print this out or save it digitally to showcase your accomplishment. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Official Google Cloud Certified Professional Data Engineer Study Guide
The proven Study Guide that prepares you for this new Google Cloud exam The Google Cloud Certified Professional Data Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Professional Data Engineer certification.Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data Engineer Study Guide is your ace in the hole for deploying and managing analytics and machine learning applications. Build and operationalize storage systems, pipelines, and compute infrastructureUnderstand machine learning models and learn how to select pre-built modelsMonitor and troubleshoot machine learning modelsDesign analytics and machine learning applications that are secure, scalable, and highly available. This exam guide is designed to help you develop an in depth understanding of data engineering and machine learning on Google Cloud Platform.
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Is this provider reliable for mobile data? Simon Mobile.
Simon Mobile is a reliable provider for mobile data. They offer competitive data plans and have a strong network coverage. Additionally, they have a good reputation for customer service and reliability. Overall, Simon Mobile is a trustworthy option for those looking for mobile data services.
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Can I have mobile data activated while abroad, in Spain?
Yes, you can have mobile data activated while abroad in Spain. However, it's important to check with your mobile service provider about international roaming charges and data usage fees. Some providers offer international data plans or temporary add-ons for traveling abroad, which can help you avoid unexpected charges. It's also a good idea to consider using local SIM cards or Wi-Fi hotspots to access data while in Spain, as this can be a more cost-effective option.
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Which eSIM providers offer data packages for a vacation in Spain?
There are several eSIM providers that offer data packages for a vacation in Spain, such as GigSky, Truphone, and Ubigi. These providers offer various data plans tailored for travelers visiting Spain, allowing them to stay connected without the need for a physical SIM card. Customers can easily purchase and activate these eSIM data packages before or during their trip to Spain, providing convenient and flexible connectivity options while traveling.
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Do you trust Google regarding the lawful processing of your data?
As an AI language model, I do not have personal experiences or the ability to trust. However, Google is a large and reputable company that is subject to strict data protection regulations. They have implemented various measures to ensure lawful processing of data, such as providing transparency about their data practices and offering users control over their data through privacy settings. It is important for individuals to review Google's privacy policies and settings to make informed decisions about how their data is handled.
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AWS Certified Data Engineer Study Guide : Associate (DEA-C01) Exam
Take the next step in your career by expanding and validating your data engineering skills on the AWS cloud!AWS Certified Data Engineer Study Guide: Associate (DEA-C01) Exam helps you prepare for performing in a data engineering role.This NEW certification validates your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.The book focuses on the following concepts: Data Ingestion and TransformationData Store ManagementData Operations and SupportData Security and Governance After reading the Study Guide and working through the exercises and practice questions, you should be able to complete such tasks as ingesting and transforming data, and orchestrating data pipelines while applying programming concepts; choosing an optimal data store, designing data models, cataloging data schemas, and managing data lifecycles; operationalizing, maintaining, and monitoring data pipelines; analyzing data and ensuring data quality; implementing appropriate authentication, authorization, data encryption, privacy, and governance; and enabling logging. You’ll also have access to Sybex's superior online interactive learning environment and test bank, including hundreds of practice test questions, electronic flashcards, and a glossary of key terms.
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Designing Data-Intensive Applications : Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Data is at the center of many challenges in system design today.Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability.In addition, we have an overwhelming variety of tools, including NoSQL datastores, stream or batch processors, and message brokers.What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.Software keeps changing, but the fundamental principles remain the same.With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architecture
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Cloud Native Data Security with Oauth : A Scalable Zero Trust Architecture
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CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This study guide offers 100% coverage of every objective for the Certified Data Privacy Solutions Engineer Exam Take ISACA’s rigorous Certified Data Privacy Solutions Engineer exam with confidence using the comprehensive information in this effective self-study guide.Written by a security and privacy expert and experienced author, the book lays out hands-on privacy and security techniques and thoroughly prepares candidates to pass this exam.Beyond exam preparation, the guide also serves as a valuable on-the-job reference. CDPSE™ Certified Data Privacy Solutions Engineer All-in-One Exam Guide is based on proven teaching and learning styles and features special elements that teach and reinforce practical privacy and IT security skills.The book contains in-depth practice questions and detailed explanations.You will discover how to effectively design, build, and run information privacy management programs. Contains comprehensive coverage of every topic on the CDPSE examOnline content includes 300 practice questions in the customizable Total Tester exam engineWritten by a security and privacy expert, educator, and experienced author
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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Is data volume the same as mobile data?
No, data volume and mobile data are not the same. Data volume refers to the amount of data being used or transferred, which can include various types of data such as text, images, videos, etc. On the other hand, mobile data specifically refers to the internet data that is used on a mobile device, typically through a cellular network. Mobile data is a subset of data volume, as data volume can also include data used on other devices or networks.
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