Table of Contents
- 1 Can we use Hive for unstructured data?
- 2 Can Hdfs handle unstructured data?
- 3 How Hadoop process unstructured data example?
- 4 Can we store unstructured data in data warehouse?
- 5 What is structured and unstructured data?
- 6 Where does the data of a hive table gets stored?
- 7 Where do you store unstructured data?
- 8 Where is the data stored in hive?
- 9 What is hive in Hadoop framework?
- 10 How to retrieve data from managed table in hive?
Can we use Hive for unstructured data?
Yes, Hive can be used for processing unstructured data. Hive is good for processing not only for structured data but also for unstructured data into a structured form too.
Can Hdfs handle unstructured data?
Unstructured data is BIG – really BIG in most cases. Data in HDFS is stored as files. This allows using Hadoop for structuring any unstructured data and then exporting the semi-structured or structured data into traditional databases for further analysis. Hadoop is a very powerful tool for writing customized codes.
Does Hive support semi structured data?
Hive performs ETL functionalities in Hadoop ecosystem by acting as ETL tool. Semi structured data such as XML and JSON can be processed with less complexity using Hive.
How Hadoop process unstructured data example?
There are multiple ways to import unstructured data into Hadoop, depending on u se cases.
- Using HDFS shell commands such as put or copyFromLocal to move flat files into HDFS.
- Using WebHDFS REST API for application integration.
- Using Apache Flume.
- Using Storm, a general-purpose, event-processing system.
Can we store unstructured data in data warehouse?
Although databases and data warehouses can handle unstructured data, they don’t do so in the most efficient manner. Data that goes into databases and data warehouses needs to be cleansed and prepared before it gets stored.
How would you transform unstructured data into structured data in Hadoop?
Unstructured to Structured Data Conversion
- First analyze the data sources.
- Know what will be done with the results of the analysis.
- Decide the technology for data intake and storage as per business needs.
- Keep the information stored in a data warehouse till the end.
- Formulate data for the storage.
What is structured and unstructured data?
Structured data is highly specific and is stored in a predefined format, where unstructured data is a conglomeration of many varied types of data that are stored in their native formats.
Where does the data of a hive table gets stored?
The data loaded in the hive database is stored at the HDFS path – /user/hive/warehouse. If the location is not specified, by default all metadata gets stored in this path.
How do you deal with unstructured data?
4 Ways to Deal With Unstructured Data
- Throw It Away. The reality is that much of the data organizations collect isn’t very interesting or useful, but it still takes up a lot of storage space.
- Deduplicate It.
- Tier It.
- Structure It.
Where do you store unstructured data?
Unstructured data can be stored in a number of ways: in applications, NoSQL (non-relational) databases, data lakes, and data warehouses. Platforms like MongoDB Atlas are especially well suited for housing, managing, and using unstructured data.
Where is the data stored in hive?
Hive stores the data into 2 different types of tables according to the need of the user. Managed Table is nothing but a simply create table statement. However, this is the default database of HIVE. All the data that is loaded is by default stored in the /user/hive/warehouse directory of HDFS.
What are the different types of tables available in a hive?
Hive supports two main kinds of tables: external and non external. With external tables, the data is added to the table by using a load partition command. For non external tables, the data goes in whichever folder you specified in LOCATION block of the create statement.
What is hive in Hadoop framework?
A hive is an ETL tool. It extracts the data from different sources mainly HDFS. Transformation is done to gather the data that is needed only and loaded into tables. Hive acts as an excellent storage tool for Hadoop Framework. Hive is the replica of relational management tables.
How to retrieve data from managed table in hive?
Managed Table is nothing but a simply create table statement. However, this is the default database of HIVE. All the data that is loaded is by default stored in the /user/hive/warehouse directory of HDFS. Once the table is deleted or dropped, there is no way to retrieve it because the data and its metadata get completely vanished.