AWS-BDATA - Big Data on AWS

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Thời lượng: 3.0 ngày

Big Data on AWS giới thiệu các giải pháp dữ liệu lớn trên đám mây như Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis và các nền tảng dữ liệu lớn AWS khác. Trong khóa học này, chúng tôi sẽ hướng dẫn bạn cách sử dụng Amazon EMR để xử lý dữ liệu bằng các công cụ trong hệ sinh thái Hadoop như Hive và Hue. Chúng tôi cũng sẽ hướng dẫn cách tạo môi trường dữ liệu lớn, cách làm việc với Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena và Amazon Kinesis đồng thời tận dụng các phương pháp thực hành tốt nhất để thiết kế môi trường dữ liệu lớn có tính bảo mật cao và tiết kiệm chi phí.

Mục tiêu khóa học

Đưa giải pháp AWS vào hệ sinh thái dữ liệu lớn
Sử dụng Apache Hadoop với Amazon EMR
Xác định các thành phần của cụm Amazon EMR
Khởi chạy và cấu hình cụm Amazon EMR
Sử dụng các khung lập trình (framework) phổ biến và có sẵn dành cho Amazon EMR bao gồm Hive, Pig, và Streaming
Tận dụng Hue để dùng Amazon EMR dễ dàng hơn
Sử dụng phân tích bộ nhớ RAM (in-memory analytic) với Spark trên Amazon EMR
Chọn phương thức lưu trữ dữ liệu AWS phù hợp
Xác định lợi ích của việc sử dụng Amazon Kinesis để xử lý dữ liệu lớn theo thời gian thực
Sử dụng Amazon Redshift để phân tích và lưu trữ dữ liệu hiệu quả
Hiểu và quản lý chi phí/quản lý bảo mật cho một giải pháp dữ liệu lớn
Xác định các phương pháp nhập, truyền và nén dữ liệu
Sử dụng Amazon Athena để thực hiện các truy vấn cụ thể
Sử dụng AWS Glue để tự động hóa quy trình ETL.
Sử dụng các phần mềm trực quan để mô tả dữ liệu và truy vấn bằng Amazon QuickSight
Sắp xếp quy trình dữ liệu lớn bằng AWS Data Pipeline

Nội dung

Ngày 1

Tổng quan Dữ liệu lớn (Big Data)
Nhập dữ liệu
Big Data Streaming và Amazon Kinesis
Sử dụng Kinesis để truyền luồng dữ liệu và phân tích nhật ký máy chủ Apache
Giải pháp lưu trữ
Truy vấn dữ liệu lớn bằng Amazon Athena
Sử dụng Amazon Athena để phân tích dữ liệu
Giới thiệu Apache Hadoop và Amazon EMR

Ngày 2

Sử dụng Amazon Elastic MapReduce
Lưu trữ và truy vấn dữ liệu trên DynamoDB
Khung lập trình Hadoop
Xử lý nhật ký máy chủ (Server Logs) với Hive trên Amazon EMR
Nâng cao trải nghiệm Amazon EMR Experience với Hue
Chạy Pig Scripts trong Hue trên Amazon EMR
Spark trên Amazon EMR
Xử lý tập dữ liệu New York Taxi dataset với Spark trên Amazon EMR

Ngày 3

Sử dụng AWS Glue để tự động hóa quy trình ETL
Amazon Redshift và Dữ Liệu Lớn
Sắp xếp và Trực quan hóa Dữ liệu Lớn
Trực quan hóa
Quản lý chi phí Amazon EMR
Giải pháp bảo mật dữ liệu lớn
Các mẫu thiết kế phần mềm (Design Pattern) trong dữ liệu lớn

Đối tượng học

Những người chịu trách nhiệm thiết kế và triển khai các giải pháp dữ liệu lớn, cụ thể là Kiến trúc sư giải pháp và Quản trị viên SysOps.
Các Nhà Khoa học dữ liệu và Nhà Phân tích dữ liệu muốn tìm hiểu về các giải pháp dữ liệu lớn trên AWS.

Kiến thức khuyến nghị

Chúng tôi khuyến nghị học viên tham gia khóa học này có những kiến thức sau:

Có kiến thức cơ bản với công nghệ dữ liệu lớn, bao gồm Apache Hadoop, HDFS, và truy vấn SQL/NoSQL.
Học viên nên hoàn thành khóa đào tạo Cơ Bản về Công nghệ Dữ liệu Lớn trên nền tảng Web hoặc có kinh nghiệm tương đương.
Có kinh nghiệm làm việc/kiến thức về dịch vụ AWS và đám mây công cộng.
Học viên nên hoàn thành khóa học AWS Essentials hoặc có kinh nghiệm tương đương
Có kiến thức cơ bản về kho dữ liệu (data warehouse), hệ thống cơ sở dữ liệu quan hệ và thiết kế cơ sở dữ liệu.

Chứng chỉ

AWS Certified Data Analytics - Specialty

Lịch khai giảng

Tên khóa học

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AWS-CDA-T: AWS Certified Developer – Associate Track

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AWS-CSAA-T: AWS Certified Solutions Architect – Associate Track

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AWS-CSAP-B: AWS Certified Solutions Architect – Professional (Bundle)

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AWS-FIN - AWS Cloud for Finance Professionals

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AWS-CEBL-FS - AWS Cloud Essentials for Business Leaders – Financial Services

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AWS-CEBL - AWS Cloud Essentials for Business Leaders

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AWS-DDAY - AWS Discovery Day

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AWS-CLDPE: AWS Cloud Practitioner Essentials

The fundamental-level certification & training course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

AWS-MGA - Migrating to AWS

Migrating to AWS tập trung vào việc lên kế hoạch và di chuyển khối lượng công việc hiện có lên AWS Cloud. Khóa học này gồm các chiến lược di chuyển đám mây với thảo luận chi tiết về từng giai đoạn di chuyển, bao gồm khám phá danh mục, lên kế hoạch di chuyển và thiết kế ứng dụng, thực hiện di chuyển, xác thực sau di chuyển và tối ưu hóa ứng dụng. Trong phần đầu tiên, bạn sẽ được tìm hiểu nguyên tắc lập kế hoạch di chuyển và phương thức thực hành tốt nhất. Trong phần tiếp theo, bạn sẽ được hướng dẫn thiết kế và thực thi việc di chuyển dữ liệu với các bài thực hành lab để hiểu rõ hơn về từng khái niệm.

AWS-DEV - Developing on AWS

Trong khóa học này, bạn sẽ được học cách sử dụng AWS SDK để phát triển các ứng dụng đám mây có khả năng mở rộng với độ bảo mật cao. Khám phá cách tương tác với AWS thông qua code và tìm hiểu các khái niệm cốt lõi, phương pháp thực hành tốt nhất và mẹo khắc phục sự cố.

AWS-DEVOPS - DevOps Engineering on AWS

DevOps Engineering on AWS hướng dẫn cách sử dụng các mẫu thiết kế phần mềm DevOps phổ biến nhất để xây dựng, triển khai và duy trì ứng dụng trên AWS. Trong khóa học này, bạn được tìm hiểu các nguyên tắc cốt lõi của phương pháp DevOps và nhiều trường hợp ví dụ, kịch bản phát triển doanh nghiệp phù hợp với các doanh nghiệp khởi nghiệp, vừa và nhỏ.

AWS-ARC - Architecting on AWS

Khóa học bao gồm nhiều module khác nhau, tập trung vào các khía cạnh như: account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, backup và recovery. Kết thúc khóa học, bạn sẽ được thực hành xây dựng một giải pháp và tự tin áp dụng vào công việc thực tế.

AWS-TE - AWS Technical Essentials

AWS Technical Essentials giới thiệu cho bạn các sản phẩm, dịch vụ và giải pháp phổ biến của AWS. Nó cung cấp cho bạn các nguyên tắc cơ bản để trở nên thành thạo hơn trong việc xác định các dịch vụ AWS để bạn có thể đưa ra quyết định sáng suốt về các giải pháp CNTT dựa trên yêu cầu kinh doanh của bạn và bắt đầu làm việc trên AWS.

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