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AWS Certified Data Analytics - Specialty Exam

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Deepak Dubey

15:30:56

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  • 1 - Kinesis Data Streams.mp4
    31:49
  • 2 - Kinesis Data Firehose.mp4
    19:36
  • 3 - Kinesis Data Analytics.mp4
    12:56
  • 4 - AWS Data Migration Service DMS.mp4
    04:50
  • 5 - Amazon Simple Queue Service SQS.mp4
    09:11
  • 6 - Amazon MQ.mp4
    09:17
  • 7 - Amazon Simple Notification Service SNS.mp4
    08:35
  • 8 - AWS Direct Connect.mp4
    08:29
  • 9 - AWS Snow Family.mp4
    11:33
  • 10 - S3 Part 1.mp4
    14:34
  • 11 - S3 Part 2.mp4
    17:00
  • 12 - S3 Part 3.mp4
    12:06
  • 13 - Amazon S3 Part 4.mp4
    08:01
  • 14 - DynamoDB Part 1.mp4
    21:27
  • 15 - DynamoDB Local Secondary Indexes LSI and Global Secondary Indexes GSI.mp4
    10:39
  • 16 - DynamoDB Accelerator DAX.mp4
    08:17
  • 17 - DynamoDB Read Capacity Units RCUs and Write Capacity Units WCUs.mp4
    10:32
  • 18 - Amazon RDS.mp4
    24:00
  • 19 - Amazon Elasticache.mp4
    15:31
  • 20 - AWS Glue Part 1.mp4
    21:48
  • 21 - AWS Glue Part 2.mp4
    29:39
  • 22 - AWS Glue Part 3.mp4
    23:18
  • 23 - Elastic MapReduce EMR.mp4
    14:01
  • 24 - AWS Lambda.mp4
    07:15
  • 25 - AWS Step Functions.mp4
    11:42
  • 26 - AWS Lake Formation.mp4
    22:06
  • 27 - Amazon Athena Part 1.mp4
    23:48
  • 28 - Amazon Athena Part 2.mp4
    24:57
  • 29 - Redshift Part 1.mp4
    24:51
  • 30 - Redshift Part 2.mp4
    23:53
  • 31 - Redshift Part 3.mp4
    08:43
  • 32 - Amazon OpenSearch.mp4
    15:05
  • 33 - Amazon QuickSight.mp4
    13:41
  • 34 - Part 1 10 Questions.mp4
    32:51
  • 35 - Part 2 10 Questions.mp4
    26:31
  • 36 - Part 3 10 Questions.mp4
    29:52
  • 37 - Part 4 10 Questions.mp4
    26:06
  • 38 - Part 5 10 Questions.mp4
    32:43
  • 39 - Part 6 10 Questions.mp4
    30:05
  • 40 - Part 7 10 Questions.mp4
    27:11
  • 41 - Part 8 10 Questions.mp4
    30:49
  • 42 - Answers.txt
  • 42 - Explanations.txt
  • 42 - Part 9 10 Questions.mp4
    31:00
  • 42 - Practice Questions and Answers.txt
  • 43 - Answers.txt
  • 43 - Explanations.txt
  • 43 - Part 10 10 Questions.mp4
    28:36
  • 43 - Practice Questions and Answers.txt
  • 44 - Part 11 10 Questions.mp4
    25:25
  • 45 - Part 12 10 Questions.mp4
    28:11
  • 46 - Part 13 10 Questions.mp4
    30:53
  • 47 - Part 14 10 Questions.mp4
    27:33
  • Description


    Mastering AWS Analytics: From Basics to Certification Success - Theory, Labs, Practice Exams

    What You'll Learn?


    • Deep Dive into AWS Data Analytics Services: Gain comprehensive knowledge of the various AWS services tailored for data analytics, including Amazon Redshift, Kin
    • Architect Data Solutions on AWS: Understand best practices and strategies to design, deploy, and maintain scalable and reliable data analytics solutions on the
    • Data Security and Management in AWS: Learn about AWS's robust data security measures, governance tools, and best practices to manage, store, and secure data eff
    • Prepare for the AWS Certification: Equip themselves with the necessary knowledge and confidence to take and pass the AWS Certified Data Analytics - Specialty ex

    Who is this for?


  • Anyone wanting to get AWS Certified Data Analytics - Specialty
  • What You Need to Know?


  • Some AWS Knowledge or Real World Experience. If have at-least any other Associate Certification then it is better.
  • More details


    Description

    In today's data-driven landscape, the ability to efficiently analyze and harness data's power is invaluable. AWS, being a front-runner in cloud services, offers a suite of tools tailored for this very purpose. Our "Mastering AWS Analytics: From Basics to Certification Success" course is meticulously designed to usher you into the world of AWS Data Analytics, ensuring you leave with both foundational knowledge and expert insights.

    Starting with an overview of the AWS ecosystem, this course dives deep into the core analytics services like Amazon Redshift, Kinesis, Athena, and Quicksight. Each module is structured to provide clarity on how these tools fit into the broader analytics workflow, the problems they solve, and the best practices to implement them efficiently.

    Moreover, for those aiming to achieve the AWS Certified Data Analytics - Specialty certification, this course serves as a roadmap. Beyond mere tool knowledge, we delve into data security, management, and architectural best practices on AWS, vital for the certification and real-world applications.

    Whether you're a data professional wanting to expand your horizons, an AWS enthusiast aiming to add another feather to your cap, or a beginner eager to step into the world of cloud analytics, this course is for you. Join us in this journey to demystify AWS Data Analytics, and let's together unlock the potential of data in the cloud!

    Who this course is for:

    • Anyone wanting to get AWS Certified Data Analytics - Specialty

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    Deepak Dubey
    Deepak Dubey
    Instructor's Courses
    Highly Skillful, Knowledgeable and Result-Driven IT Professional with over 20 years of Experience (Totally Hands-on).AWS Cloud Architecture, Design, Development, DevOps, SysOps - EC2, ECS, EKS, Elastic Beanstalk, Lambda, S3, Glacier, Storage Gateway, RDS, DynamoDB, ElastiCache, Redshift, VPC, ELB, Route 53, CloudWatch, CloudFormation, CloudTrail, OpsWorks, Elastic MapReduce, Kinesis, Data Pipeline, SWF, SQS, SNS, SESBig Data Engineering - Hadoop, HDFS, YARN, Hive, Spark, Kafka, MongoDB, HBase, Cassandra, Storm, ZooKeeper, Redis, Elastisearch, Logstash, Kibana, GrafanaData Science, Machine Learning, AI, Python, TensorFlow, Natural Language ProcessingJava/Java EE/Web/Web Services, Spring, Spring MVC, Microservices, RESTful API, Spring Boot, Hibernate DevelopmentFull Stack Development experience using MERN (MongoDB, Express, ReactJS, Node) Stack. Proficient with Angular, HTML5, CSS3, Bootstrap, Ant DesignDevOps - Kubernetes, Docker, Jenkins, Maven, Gradle, GIT, JIRA, Terraform, Puppet, Chef, Ansible, PrometheusGoogle Cloud Platform - Cloud SQL, Datastore, Bigtable, Cloud Spanner, Cloud Dataflow, Dataproc, BigQuery, AI Platform, Datalab, Dataprep, Data Studio, Cloud ComposerI hold 50+ Internationally recognized Professional Certifications listed as below:- Amazon Web Services  (9X Certified) AWS Certified Solutions Architect - ProfessionalAWS Certified DevOps Engineer - ProfessionalAWS Certified Machine Learning - SpecialtyAWS Certified Security - SpecialtyAWS Certified Advanced Networking - SpecialtyAWS Certified Data Analytics - SpecialtyAWS Certified Database - SpecialtyGoogleGoogle Cloud Certified Professional Machine Learning EngineerTensorFlow Developer CertificateGoogle Cloud Certified Professional Data EngineerMicrosoft AzureMicrosoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure AI Engineer AssociateBig Data Elasticsearch, Logstash, Kibana Certified EngineerCloudera Certified Associate (CCA) Spark and Hadoop DeveloperConfluent Certified Developer For Apache KafkaConfluent Certified Operator for Apache KafkaDevOpsCertified Kubernetes Application DeveloperCertified Kubernetes AdministratorDocker Certified AssociateCertified Jenkins Engineer 2018PythonCertified Python AssociateJava OCP Java SE 6 & 8 ProgrammerSOA and Web Services Oracle SOA Suite 12c Certified Implementation SpecialistOracle Certified Expert, Java EE 6 Web Services DeveloperSecurity CISSP & CISMEnterprise Architecture and Management TOGAF 9 Certified, PRINCE2 and ITIL
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 47
    • duration 15:30:56
    • Release Date 2023/12/13