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01_01 Introduction to Hive
01_01 Introduction to HiveBig Data Courses » Introduction to HIVE Course( Full Course - Click Here ) |
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| Superadmin | 10.03.16 | 200 | No Rating | |
| Description | ||||
| This course will teach you the Hive query language and how to apply it to solve common Big Data problems. This includes an introduction to distributed computing, Hadoop, and MapReduce fundamentals and the latest features released with Hive 0.11 From developer to analyst, this course tackles a few big questions about big data: Why does this technology exist and why do I need it? How can I get the best out of it utilizing something familiar like SQL and how does this all fit together in an ever-evolving eco-system? This course will introduce the concepts of distributed computing, Hadoop and MapReduce and then goes into great detail into Apache Hive which is an SQL-like query language that can be used with Hadoop and NoSQL databases like HBase and Cassandra. The course presents some challenges you might experience solving real production problems and how Hive makes that task easier to accomplish. Lesson Description Section 1 Introduction to Hadoop Lesson 01 Introduction Lesson 02 Motivation for Hadoop Lesson 03 Distributed Computing Challenges Lesson 04 Hadoop File System ( HDFS ) Lesson 05 Map Reduce Lesson 06 Word Count Example Lesson 07 Demo - Basic Hadoop Commands and Environment Setup Lesson 08 Summary Section 2 Introduction to Hive Lesson 09 Introduction Lesson 10 Hive Motivation Lesson 11 Hive Architecture Lesson 12 Hive Principles - Schema on Read Lesson 13 Hive Principles - The Hive Warehouse Lesson 14 Hive Query Language Basics - Select and Sub Queries Lesson 15 Creating Databases and Tables with HiveQL Lesson 16 Demo Working with Hive Tables and Loading Data into Warehouse Lesson 17 Loading Data - Hive Managed and External Tablest Lesson 18 Demo - External Tables and Create Table Alternatives Lesson 19 Summary Section 3 Hive Query Language Lesson 20 Introduction Lesson 21 Data types Lesson 22 Type Conversions Lesson 23 Managed Partition Tables Lesson 24 External Partitioned Tables Lesson 25 Demo table Partitioning Lesson 26 Multi Inserts and Dynamic Partition Inserts Lesson 27 Demo Loading Data Use Case Lesson 28 Data Retrieval Group By and Functions Lesson 29 Sorting and Controlling Data Flow Lesson 30 The CLI and Variable Substitution Lesson 31 Summary Section 4 Advanced HiveQL Lesson 32 Introduction Lesson 33 Bucketing Lesson 34 Bucket and Blocked Sampling Lesson 35 Joins Lesson 36 Joins in Depth and Join Optimizations Lesson 37 Map side Joins for Bucketed Tables Lesson 38 Distributed Cache Lesson 39 UDTFs Explode and Lateral View Lesson 40 Demo - Extending Hive - Creating Your own UDF Lesson 41 Demo - Extending Hive - Compling and Testing Custom Lesson 42 Extending Hive Custom UDF Recap Lesson 43 Demo Hive Initialization File Lesson 44 Accessing The Distributed Cache Lesson 45 Hadoop Streaming and Transform() Lesson 46 Windowing and Analytics Functions Lesson 47 Demo - Putting it All Together Using Transform Lesson 48 Demo - Analytics Functions Lesson 49 Demo - Ranking Functions Lesson 50 Summary Section 5 Storage and the Eco-System Lesson 51 Create Table Statement - File Formats and SerDes Lesson 52 HCatalog Lesson 53 Sqoop Lesson 54 DistCP Lesson 55 Hadoop - Eco- System Projects Lesson 56 References and Resources Lesson 57 Summary | ||||
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