Über diesen Kurs
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1,243 Bewertungen

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Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

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Ca. 16 Stunden zum Abschließen

Empfohlen: 3 weeks of study, 5-6 hours/week...

Englisch

Untertitel: Arabischer Raum, Koreanisch, Englisch, Hindi, Persisch

Kompetenzen, die Sie erwerben

Big DataApache HadoopMapreduceCloudera

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 16 Stunden zum Abschließen

Empfohlen: 3 weeks of study, 5-6 hours/week...

Englisch

Untertitel: Arabischer Raum, Koreanisch, Englisch, Hindi, Persisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
20 Minuten zum Abschließen

Welcome

Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you! ...
2 Videos (Gesamt 3 min), 2 Lektüren
2 Videos
Tell us about yourself and learn about your classmates20
2 Lektüren
By the end of this course you will be able to...2m
Optional: Watch this fun video about the San Diego Supercomputer Center!10m
4 Stunden zum Abschließen

Big Data: Why and Where

Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?...
13 Videos (Gesamt 77 min), 13 Lektüren, 1 Quiz
13 Videos
Applications: What makes big data valuable11m
Example: Saving lives with Big Data6m
Example: Using Big Data to Help Patients10m
A Sentiment Analysis Success Story: Meltwater helping Danone1m
Getting Started: Where Does Big Data Come From?2m
Machine-Generated Data: It's Everywhere and There's a Lot!3m
Machine-Generated Data: Advantages4m
Big Data Generated By People: The Unstructured Challenge5m
Big Data Generated By People: How Is It Being Used?10m
Organization-Generated Data: Structured but often siloed7m
Organization-Generated Data: Benefits Come From Combining With Other Data Types4m
The Key: Integrating Diverse Data5m
13 Lektüren
Did you know?: 25 facts about big data10m
Slides: What Launched the Big Data Era?10m
Slides: Applications: What Makes Big Data Valuable?10m
Slides: Saving Lives With Big Data10m
Slides: Using Big Data to Help Patients10m
Extra Resources10m
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10m
Slides: Machine-Generated Data: Advantages10m
Slides: Big Data Generated By People: The Unstructured Challenge10m
Slides: Big Data Generated By People: How is it Being Used?10m
Slides: Organization-Generated Big Data: Structured But Often Siloed10m
Slides: Organizaton-Generated Big Data: Benefits10m
Slides: The Key - Integrating Diverse Data10m
1 praktische Übung
Why Big Data and Where Did it Come From?38m
Woche
2
2 Stunden zum Abschließen

Characteristics of Big Data and Dimensions of Scalability

You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value....
7 Videos (Gesamt 34 min), 9 Lektüren, 1 Quiz
7 Videos
Characteristics of Big Data - Volume5m
Characteristics of Big Data - Variety5m
Characteristics of Big Data - Velocity6m
Characteristics of Big Data - Veracity6m
Characteristics of Big Data - Valence2m
The Sixth V: Value4m
9 Lektüren
What does astronomical scale mean?10m
A Small Definition of Big Data10m
Slides: Getting Started - Characteristics of Big Data10m
Slides: Characteristics of Big Data - Volume10m
Slides: Characteristics of Big Data - Variety10m
Slides: Characteristics of Big Data - Velocity10m
Slides: Characteristics of Big Data - Veracity10m
Slides: Characteristics of Big Data - Value10m
Slides: Characteristics of Big Data - Valence10m
1 praktische Übung
V for the V's of Big Data14m
4 Stunden zum Abschließen

Data Science: Getting Value out of Big Data

We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems....
11 Videos (Gesamt 66 min), 12 Lektüren, 1 Quiz
11 Videos
Building a Big Data Strategy9m
How does big data science happen?: Five Components of Data Science9m
Asking the Right Questions3m
Steps in the Data Science Process3m
Step 1: Acquiring Data6m
Step 2-A: Exploring Data4m
Step 2-B: Pre-Processing Data8m
Step 3: Analyzing Data8m
Step 4: Communicating Results4m
Step 5: Turning Insights into Action2m
12 Lektüren
Five P's of Data Science10m
Slides: Getting Value Out of Big Data10m
Slides: Building a Big Data Strategy10m
Slides: The Five P's of Data Science10m
Slides: Asking the Right Questions10m
Slides: Steps in the Data Science Process10m
Slides: Step 1 - Acquiring Data10m
Slides: Step 2A-Exploring Data10m
Slides: Step 2B-Preprocessing Data10m
Slides: Step 3-Data Analysis10m
Slides: Step 4-Communicating Results10m
Slides: Step 5-Turning Insights Into Action10m
1 praktische Übung
Data Science 10120m
Woche
3
1 Stunde zum Abschließen

Foundations for Big Data Systems and Programming

Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts....
4 Videos (Gesamt 19 min), 4 Lektüren, 1 Quiz
4 Videos
What is a Distributed File System?6m
Scalable Computing over the Internet4m
Programming Models for Big Data6m
4 Lektüren
Slides: Getting Started-Why Worry About Foundations?10m
Slides: What is a Distributed File System?10m
Slides: Scalable Computing Over the Internet10m
Slides: Programming Models for Big Data10m
1 praktische Übung
Foundations for Big Data20m
5 Stunden zum Abschließen

Systems: Getting Started with Hadoop

Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review....
11 Videos (Gesamt 66 min), 8 Lektüren, 3 Quiz
11 Videos
The Hadoop Ecosystem: Welcome to the zoo!7m
The Hadoop Distributed File System: A Storage System for Big Data7m
YARN: A Resource Manager for Hadoop5m
MapReduce: Simple Programming for Big Results12m
When to Reconsider Hadoop?4m
Cloud Computing: An Important Big Data Enabler6m
Cloud Service Models: An Exploration of Choices4m
Value From Hadoop and Pre-built Hadoop Images3m
Copy your data into the Hadoop Distributed File System (HDFS)4m
Run the WordCount program5m
8 Lektüren
MapReduce in the Pasta Sauce Example10m
Slides for Getting Started With Hadoop10m
Downloading and Installing the Cloudera VM Instructions (Mac)10m
Downloading and Installing the Cloudera VM Instructions (Windows)10m
FAQ10m
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10m
Run the WordCount program Instructions10m
How do I figure out how to run Hadoop MapReduce programs?10m
2 praktische Übungen
Intro to Hadoop26m
Running Hadoop MapReduce Programs Quiz4m
4.6
1,243 BewertungenChevron Right

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nahm einen neuen Beruf nach Abschluss dieser Kurse auf

41%

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Top-Bewertungen

von PBMay 25th 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

von RGJul 14th 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

Dozenten

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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)

Über University of California San Diego

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....

Über die Spezialisierung Big Data

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....
Big Data

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