i) Data Ingestion – The foremost step in deploying big data solutions is to extract data from different sources which could be an Enterprise Resource Planning System like SAP, any CRM like Salesforce or Siebel , RDBMS like MySQL or Oracle, or could be the log files, flat files, documents, images, social media feeds. This data needs to be stored in HDFS. Data can either be ingested through batch jobs that run every 15 minutes, once every night and so on or through streaming in real-time from 100 ms to 120 seconds.
ii) Data Storage – The subsequent step after ingesting data is to store it either in HDFS or NoSQL database like HBase. HBase storage works well for random read/write access whereas HDFS is optimized for sequential access.
iii) Data Processing – The ultimate step is to process the data using one of the processing frameworks like mapreduce, spark, pig, hive, etc.
Posted Date:- 2021-11-01 07:58:42
Name the common input formats in Hadoop.
What happens to a NameNode that has no data?
What is a rack awareness and on what basis is data stored in a rack?
Explain about the indexing process in HDFS.
What are the challenges in the Virtualization of Big Data testing?
Explain Rack Awareness in Hadoop.
Name some outlier detection techniques.
How are Big Data and Data Science related?
Which language is preferred for Big Data - R, Python or any other language?
What are the challenges in Automation of Testing Big data?
Name the three modes in which you can run Hadoop.
What is the process to change the files at arbitrary locations in HDFS?
Talk about the different tombstone markers used for deletion purposes in HBase.
Explain the core methods of a Reducer.
What are some of the data management tools used with Edge Nodes in Hadoop?
What are Edge Nodes in Hadoop?
What is the difference Big data Testing vs. Traditional database Testing regarding Infrastructure?
What do you mean by indexing in HDFS?
Explain the different features of Hadoop.
What do you mean by Performance of the Sub - Components?
Explain about the process of inter cluster data copying.
What is Data Processing in Hadoop Big data testing?
What is a block and block scanner in HDFS?
What are the steps involved in deploying a big data solution?
What are the most commonly defined input formats in Hadoop?
What is the best hardware configuration to run Hadoop?
What is "MapReduce" Validation?
What do you understand by Data Staging?
How is data quality being tested?
Name the different commands for starting up and shutting down Hadoop Daemons.
What is the purpose of the JPS command in Hadoop?
What are the main components of a Hadoop Application?
Define and describe the term FSCK.
What do you mean by commodity hardware?
Differentiate between Structured and Unstructured data.
How big data analysis helps businesses increase their revenue? Give example.
Define HDFS and YARN, and talk about their respective components.
How is big data analysis helpful in increasing business revenue?
How is Hadoop related to Big Data?