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This Data Warehousing on AWS course introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with Relational Database, and SQL querying You must take AWS Technical Essentials (or equivalent experience with AWS) Course Objectives Discuss the core concepts of data warehousing Evaluate the relationship between Amazon Redshift and other big data systems Evaluate use cases for data w...

Thts program covers AWS 819 Data & Data Warehousing certification preparation courses. Also cover AWS Technical Essentials. 1) This Data Warehousing on AWS course introduces you to concepts. strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. 2) This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools ...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=144894&_unique_id=648ebec7655d5&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

This Data Warehousing on AWS course introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with Relational Database, and SQL querying You must take AWS Technical Essentials (or equivalent experience with AWS) Course Objectives Discuss the core concepts of data warehousing Evaluate the relationship between Amazon Redshift and other big data systems Evaluate use cases for data w...

This course covers the fundamentals of building IT infrastructure on the AWS platform. Students learn how to optimize the AWS Cloud by understanding how AWS services fit into cloud-based solutions. In addition, students explore AWS Cloud best practices and design patterns for architecting optimal IT solutions on AWS, and build a variety of infrastructures in guided, hands-on activities. The course also covers how to create fledgling architectures and build them into robust and adaptive solutions. Course Objectives In this course, you will learn to: Make architectural decisions based on AWS architectural principles and best practices Leverage AWS services to make your infrastructure scalable, reliable, and highly available Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well-Architected Framework to improve ar...

Thts program covers AWS 819 Data & Data Warehousing certification preparation courses. Also cover AWS Technical Essentials. 1) This Data Warehousing on AWS course introduces you to concepts. strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. 2) This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools ...

Description Of The Program: This course will help the student prepare for the following OCP-DBA exams: Oracle9i Certified Database Associate (OCA) The Oracle Certification Program begins with the Associate level. At this apprentice skill level, Oracle Certified Associates have a foundation of knowledge that will allow them to act as a junior team member working with database administrators or application developers. Earning your Oracle Certified Associate credential as a beginning IT professional will give you recognition for your foundation of knowledge using Oracle technologies. This recognition will differentiate you from those without any credentials, and can help you build your career by obtaining access to entry-level opportunities. To become an Oracle Certified Associate, you must pass the exams required for the Oracle Certified Associate level of your selected job role. Typically, two exams are required; the first one can be taken via the Internet, while subsequent exams m...

This course covers the fundamentals of building IT infrastructure on the AWS platform. Students learn how to optimize the AWS Cloud by understanding how AWS services fit into cloud-based solutions. In addition, students explore AWS Cloud best practices and design patterns for architecting optimal IT solutions on AWS, and build a variety of infrastructures in guided, hands-on activities. The course also covers how to create fledgling architectures and build them into robust and adaptive solutions. Course Objectives In this course, you will learn to: Make architectural decisions based on AWS architectural principles and best practices Leverage AWS services to make your infrastructure scalable, reliable, and highly available Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well-Architected Framework to improve ar...

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...

Description Of The Program: This program covers essential to advanced courses of AWS: Cloud, Architect, SysOps, DevOps, Big Data, Security associate, Professional and Specialty levels certifications preparation. This package a yearlong program is the perfect for candidate who wants to be AWS specialist with all sections of Architect, System Administration/Operations, Developer (DevOps Engineering), Data Warehouse, Big Data and Security. Description of Unique Features Of The Program: No description of unique features of this program is available. https://www.liit.com/course/aws-specialist-montvale/?feed_id=143344&_unique_id=648639426b596&AWS%20Specialist%20-%20Montvale

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=143234&_unique_id=648596b7457b8&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...

Description Of The Program: This program covers essential to advanced courses of AWS: Cloud, Architect, SysOps, DevOps, Big Data, Security associate, Professional and Specialty levels certifications preparation. This package a yearlong program is the perfect for candidate who wants to be AWS specialist with all sections of Architect, System Administration/Operations, Developer (DevOps Engineering), Data Warehouse, Big Data and Security. Description of Unique Features Of The Program: No description of unique features of this program is available. https://www.liit.com/course/aws-specialist-virtual/?feed_id=142964&_unique_id=648410e301e58&AWS%20Specialist%20-%20Virtual

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...

Description Of The Program: This program covers essential to advanced courses of AWS: Cloud, Architect, SysOps, DevOps, Big Data, Security associate, Professional and Specialty levels certifications preparation. This package a yearlong program is the perfect for candidate who wants to be AWS specialist with all sections of Architect, System Administration/Operations, Developer (DevOps Engineering), Data Warehouse, Big Data and Security. Description of Unique Features Of The Program: No description of unique features of this program is available. https://www.liit.com/course/aws-specialist-hackensack/?feed_id=142764&_unique_id=6482f61819daa&AWS%20Specialist%20-%20Hackensack

In this course, you will build on concepts introduced in Architecting on AWS. You will learn how to build complex solutions that incorporate data services, governance, and security on the AWS platform. You will also learn about specialized AWS services, including AWS Direct Connect and AWS Storage Gateway, that support hybrid architecture, and you will learn about best practices for building scalable, elastic, secure, and highly available applications on AWS. Intended Audience This course is intended for: Individuals who are experienced with designing scalable and elastic applications on the AWS platform Course Objectives In this course, you will learn to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises data center to the AWS Cloud Discuss billing implications of connecting multi-region VPCs Move large data from an on-premises data center to AWS Design large data sto...

Thts program covers AWS 819 Data & Data Warehousing certification preparation courses. Also cover AWS Technical Essentials. 1) This Data Warehousing on AWS course introduces you to concepts. strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in Amazon Web Services (AWS). This AWS Data Warehousing course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data. 2) This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools ...

This Big Data on AWS course introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of the Amazon Web Services (AWS) big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Plus, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Big Data - Specialty certification. Prerequisites We recommend that attendees of this course have the following prerequisites: Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying Students should complete the free Big Data Technology Fundamentals w...