Loading & Querying Data with Hive
Apache Hive 2.3.2
| Beginner
- 13 Videos | 1h 19m 23s
- Includes Assessment
- Earns a Badge
Among the market's most popular data warehouses used for data science, Apache Hive simplifies working with large data sets in files by representing them as tables. In this 12-video Skillsoft Aspire course, learners explore how to create, load, and query Hive tables. For this hands-on course, learners should have a conceptual understanding of Hive and its basic components, and prior experience with querying data from tables using SQL (structured query language) and with using the command line. Key concepts covered include cluster, joining tables, and modifying tables. Demonstrations covered include using the Beeline client for Hive for simple operations; creating tables, loading them with data, and then running queries against them. Only tables with primitive data types are used here, with data loaded into these tables from HDFS (Hadoop Distributed File System) file system and local machines. Learners will work with Hive metastore and temporary tables, and how they can be used. You will become familiar with basics of using the Hive query language and quite comfortable working with HDFS.
WHAT YOU WILL LEARN
-
use the Google Cloud Platform's Dataproc service to provision a Hadoop cluster
define and create a simple table in Hive using the Beeline client
load a few rows of data into a table and query it with simple select statements
run Hive queries from the shell of a host where a Hive client is installed
define and run a join query involving two related tables
describe the structure of the Hive Metastore on the Hadoop Distributed File System (HDFS) -
create, load data into, and query an external table in Hive and contrast it with a Hive-managed table
use the alter table statement to change the definition of a Hive table
work with temporary tables that are only valid for a single Hive session and recognize how they differ from regular tables
populate Hive tables with data in files on both HDFS and the file system of the Hive client
load data into multiple tables from the contents of another table
use the Hadoop shell to execute Hive query scripts and work with Hive tables
IN THIS COURSE
-
1.Course Overview2m 14sUP NEXT
-
2.Setting up a Hadoop Cluster on the Google Cloud6m 22s
-
3.Creating a Hive Table6m 23s
-
4.Running Simple Queries in Hive7m 15s
-
5.Executing Hive Queries from the Shell3m 56s
-
6.Joining Tables in Hive4m 22s
-
7.Exploring the Hive Warehouse9m 23s
-
8.External Tables in Hive8m 52s
-
9.Modifying Tables in Hive5m 37s
-
10.Temporary Tables in Hive5m 42s
-
11.Loading Data into Tables in Hive9m 24s
-
12.Populating Multiple Tables in Hive4m 15s
-
13.Exercise: Loading and Querying Data in Hive5m 38s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
