課程信息

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初級
完成時間大約為12 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • Distinguish operational from analytic databases, and understand how these are applied in big data

  • Understand how database and table design provides structures for working with data

  • Appreciate how differences in volume and variety of data affects your choice of an appropriate database system

  • Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis

您將獲得的技能

Database (DBMS)Data WarehousingData AnalysisBig DataSQL
可分享的證書
完成後獲得證書
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12 小時
英語(English)
字幕:英語(English)

講師

提供方

Cloudera 徽標

Cloudera

教學大綱 - 您將從這門課程中學到什麼

內容評分Thumbs Up97%(1,690 個評分)Info
1

1

完成時間為 2 小時

Data and Databases

完成時間為 2 小時
11 個視頻 (總計 50 分鐘), 4 個閱讀材料, 1 個測驗
11 個視頻
Welcome to the Course and Week 13分鐘
What Is Data?3分鐘
Why Organize Data?5分鐘
What Does a DBMS Do?5分鐘
Relational Databases and SQL6分鐘
The Success of RDBMSs and SQL4分鐘
Operational and Analytic Databases5分鐘
Comparing Operational and Analytic DBs: SELECT Statements2分鐘
Comparing Operational and Analytic DBs: DML Activity4分鐘
Operational and Analytic Databases: Further Comparisons1分鐘
4 個閱讀材料
Hardware Requirements for the Exercise Environment10分鐘
Data Extraction from Digital Images10分鐘
Three Notes about SQL10分鐘
References10分鐘
1 個練習
Data and Databases30分鐘
2

2

完成時間為 3 小時

Relational Databases and SQL

完成時間為 3 小時
15 個視頻 (總計 80 分鐘), 3 個閱讀材料, 1 個測驗
15 個視頻
Introducing Table Schemas3分鐘
NULL Values3分鐘
Data Types3分鐘
Primary Keys5分鐘
Foreign Keys6分鐘
Two Strategies for Database Design3分鐘
Database Normalization8分鐘
Denormalization5分鐘
Differences6分鐘
Trade-offs4分鐘
Database Transactions6分鐘
ACID6分鐘
Enforcing Business Rules: Constraints and Triggers7分鐘
Business Rules and ACID for Analytics?6分鐘
3 個閱讀材料
Let There Be Third Normal Form5分鐘
SELECT Statements in Transactions5分鐘
Database Indexes30分鐘
1 個練習
Relational Databases30分鐘
3

3

完成時間為 2 小時

Big Data

完成時間為 2 小時
12 個視頻 (總計 63 分鐘), 1 個閱讀材料, 1 個測驗
12 個視頻
How Big Is Big Data?3分鐘
Distributed Storage6分鐘
Distributed Processing9分鐘
Structured Data4分鐘
Unstructured Data4分鐘
Semi-Structured Data3分鐘
Strengths of Traditional RDBMSs4分鐘
Limitations of Traditional RDBMSs7分鐘
SQL and Structured Data5分鐘
SQL and Semi-structured Data4分鐘
SQL and Unstructured Data7分鐘
1 個閱讀材料
What about Velocity?15分鐘
1 個練習
Big Data30分鐘
4

4

完成時間為 2 小時

SQL Tools for Big Data Analysis

完成時間為 2 小時
12 個視頻 (總計 53 分鐘), 1 個閱讀材料, 1 個測驗
12 個視頻
Big Data Analytic Databases (Data Warehouses)2分鐘
NoSQL: Operational, Unstructured and Semi-structured4分鐘
Non-transactional, Structured Systems2分鐘
Big Data ACID-Compliant RDBMSs1分鐘
Search Engines4分鐘
Challenges4分鐘
What We Keep3分鐘
What We Give Up5分鐘
What We Add8分鐘
Where to Store Big Data7分鐘
Coupling of Data and Metadata7分鐘
1 個閱讀材料
Open Source and Apache15分鐘
1 個練習
SQL Tools for Big Data Analysis30分鐘

審閱

來自FOUNDATIONS FOR BIG DATA ANALYSIS WITH SQL的熱門評論

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關於 Modern Big Data Analysis with SQL 專項課程

This Specialization teaches the essential skills for working with large-scale data using SQL. Maybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala....
Modern Big Data Analysis with SQL

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