About this Course
최근 조회 47,251

다음의 3/6개 강좌

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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

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초급 단계

완료하는 데 약 19시간 필요

권장: 8 hours/week...

영어

자막: 영어

귀하가 습득할 기술

Big DataMongodbSplunkApache Spark

다음의 3/6개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 19시간 필요

권장: 8 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Welcome to Big Data Integration and Processing

Welcome to the third course in the Big Data Specialization. This week you will be introduced to basic concepts in big data integration and processing. You will be guided through installing the Cloudera VM, downloading the data sets to be used for this course, and learning how to run the Jupyter server.

...
3 videos (Total 18 min), 6 readings
3개의 동영상
Summary of Big Data Modeling and Management7m
Why is Big Data Processing Different?8m
6개의 읽기 자료
Slides: Summary & Why Is Big Data Processing Different10m
Downloading and Installing the Cloudera VM Instructions (Windows)10m
Downloading and Installing the Cloudera VM Instructions (Mac)10m
Software Installation Frequently Asked Questions (FAQ)10m
Instructions for Downloading Hands On Datasets10m
Instructions for Starting Jupyter10m
완료하는 데 1시간 필요

Retrieving Big Data (Part 1)

This module covers the various aspects of data retrieval and relational querying. You will also be introduced to the Postgres database.

...
5 videos (Total 40 min), 2 readings
5개의 동영상
What is Data Retrieval? Part 27m
Querying Two Relations8m
Subqueries8m
Querying Relational Data with Postgres6m
2개의 읽기 자료
Slides: What is Data Retrieval?10m
Querying Relational Data with Postgres20m
2
완료하는 데 2시간 필요

Retrieving Big Data (Part 2)

This module covers the various aspects of data retrieval for NoSQL data, as well as data aggregation and working with data frames. You will be introduced to MongoDB and Aerospike, and you will learn how to use Pandas to retrieve data from them.

...
5 videos (Total 50 min), 3 readings, 2 quizzes
5개의 동영상
Aggregation Functions9m
Querying Aerospike6m
Querying Documents in MongoDB11m
Exploring Pandas DataFrames5m
3개의 읽기 자료
Slides: Querying Data Part 210m
Querying Documents in MongoDB10m
Exploring Pandas DataFrames20m
2개 연습문제
Retrieving Big Data Quiz20m
Postgres, MongoDB, and Pandas20m
3
완료하는 데 3시간 필요

Big Data Integration

In this module you will be introduced to data integration tools including Splunk and Datameer, and you will gain some practical insight into how information integration processes are carried out.

...
11 videos (Total 83 min), 4 readings, 2 quizzes
11개의 동영상
A Data Integration Scenario13m
Integration for Multichannel Customer Analytics6m
Big Data Management and Processing Using Splunk and Datameer1m
Why Splunk?3m
Connected Cars with Ford's OpenXC and Splunk3m
Big Data Management and Processing using Datameer15m
Installing Splunk Enterprise on Windows2m
Installing Splunk Enterprise on Linux4m
Exploring Splunk Queries5m
Optional: Creating Pivot Reports in Splunk8m
4개의 읽기 자료
Slides: Information Integration10m
Downloading Splunk Enterprise10m
Exploring Splunk Queries20m
Optional: Instructions for Splunk Pivot Tutorial10m
2개 연습문제
Information Integration - Quiz14m
Hands-On With Splunk15m
4
완료하는 데 3시간 필요

Processing Big Data

This module introduces Learners to big data pipelines and workflows as well as processing and analysis of big data using Apache Spark.

...
9 videos (Total 74 min), 4 readings, 2 quizzes
9개의 동영상
Some High-Level Processing Operations in Big Data Pipelines8m
Aggregation Operations in Big Data Pipelines5m
Typical Analytical Operations in Big Data Pipelines10m
Overview of Big Data Processing Systems7m
The Integration and Processing Layer8m
Introduction to Apache Spark8m
Getting Started with Spark10m
WordCount in Spark8m
4개의 읽기 자료
Big Data Processing Pipelines Slides10m
Big Data Workflow Management10m
Slides for Big Data Processing Tools and Systems10m
WordCount in Spark20m
2개 연습문제
Pipeline and Tools18m
WordCount in Spark8m
4.4
301개의 리뷰Chevron Right

43%

이 강좌를 수료한 후 새로운 경력 시작하기

36%

이 강좌를 통해 확실한 경력상 이점 얻기

23%

급여 인상 또는 승진하기

Big Data Integration and Processing의 최상위 리뷰

대학: AAMar 6th 2018

It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.

대학: SKDec 8th 2016

The assessments are quite tough compared to the course examples. Moreover, some programming basics should be given or made to understand, especially in Spark, as these are very

강사

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

캘리포니아 샌디에고 대학교 정보

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

빅 데이터 전문 분야 정보

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
빅 데이터

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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