課程信息
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第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為19 小時

建議:8 hours/week...

英語(English)

字幕:英語(English)

您將獲得的技能

Big DataMongodbSplunkApache Spark
學習Course的學生是
  • Data Engineers
  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Risk Managers

第 3 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為19 小時

建議:8 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Welcome to Big Data Integration and Processing

3 個視頻 (總計 18 分鐘), 6 個閱讀材料
3 個視頻
Summary of Big Data Modeling and Management7分鐘
Why is Big Data Processing Different?8分鐘
6 個閱讀材料
Slides: Summary & Why Is Big Data Processing Different10分鐘
Downloading and Installing the Cloudera VM Instructions (Windows)10分鐘
Downloading and Installing the Cloudera VM Instructions (Mac)10分鐘
Software Installation Frequently Asked Questions (FAQ)10分鐘
Instructions for Downloading Hands On Datasets10分鐘
Instructions for Starting Jupyter10分鐘
完成時間為 1 小時

Retrieving Big Data (Part 1)

5 個視頻 (總計 40 分鐘), 2 個閱讀材料
5 個視頻
What is Data Retrieval? Part 27分鐘
Querying Two Relations8分鐘
Subqueries8分鐘
Querying Relational Data with Postgres6分鐘
2 個閱讀材料
Slides: What is Data Retrieval?10分鐘
Querying Relational Data with Postgres20分鐘
2
完成時間為 2 小時

Retrieving Big Data (Part 2)

5 個視頻 (總計 50 分鐘), 3 個閱讀材料, 2 個測驗
5 個視頻
Aggregation Functions9分鐘
Querying Aerospike6分鐘
Querying Documents in MongoDB11分鐘
Exploring Pandas DataFrames5分鐘
3 個閱讀材料
Slides: Querying Data Part 210分鐘
Querying Documents in MongoDB10分鐘
Exploring Pandas DataFrames20分鐘
2 個練習
Retrieving Big Data Quiz20分鐘
Postgres, MongoDB, and Pandas20分鐘
3
完成時間為 3 小時

Big Data Integration

11 個視頻 (總計 83 分鐘), 4 個閱讀材料, 2 個測驗
11 個視頻
A Data Integration Scenario13分鐘
Integration for Multichannel Customer Analytics6分鐘
Big Data Management and Processing Using Splunk and Datameer1分鐘
Why Splunk?3分鐘
Connected Cars with Ford's OpenXC and Splunk3分鐘
Big Data Management and Processing using Datameer15分鐘
Installing Splunk Enterprise on Windows2分鐘
Installing Splunk Enterprise on Linux4分鐘
Exploring Splunk Queries5分鐘
Optional: Creating Pivot Reports in Splunk8分鐘
4 個閱讀材料
Slides: Information Integration10分鐘
Downloading Splunk Enterprise10分鐘
Exploring Splunk Queries20分鐘
Optional: Instructions for Splunk Pivot Tutorial10分鐘
2 個練習
Information Integration - Quiz14分鐘
Hands-On With Splunk15分鐘
4
完成時間為 3 小時

Processing Big Data

9 個視頻 (總計 74 分鐘), 4 個閱讀材料, 2 個測驗
9 個視頻
Some High-Level Processing Operations in Big Data Pipelines8分鐘
Aggregation Operations in Big Data Pipelines5分鐘
Typical Analytical Operations in Big Data Pipelines10分鐘
Overview of Big Data Processing Systems7分鐘
The Integration and Processing Layer8分鐘
Introduction to Apache Spark8分鐘
Getting Started with Spark10分鐘
WordCount in Spark8分鐘
4 個閱讀材料
Big Data Processing Pipelines Slides10分鐘
Big Data Workflow Management10分鐘
Slides for Big Data Processing Tools and Systems10分鐘
WordCount in Spark20分鐘
2 個練習
Pipeline and Tools18分鐘
WordCount in Spark8分鐘
4.4
328 個審閱Chevron Right

44%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

21%

加薪或升職

來自Big Data Integration and Processing的熱門評論

創建者 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.

創建者 DCOct 8th 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

講師

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

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

關於 加州大学圣地亚哥分校

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....

關於 大数据 專項課程

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....
大数据

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