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Question-1: What is the Cloudera Enterprise?
Answer: Cloudera Enterprise is a combined solution for the Machine Learning, Analytics, Data Engineering etc. Which include the following solutions.
Basically, it’s a combination of following 3 things
- Open Source CDH (Include Hadoop & its Eco-system)
- Cloudera Manager (Licensed product from Cloudera )
- Cloudera Navigator (Licensed Product from Cloudera )
Question-2: How does Cloudera Enterprise Differ with the Cloudera Altus?
Answer: Cloudera Altus provide almost the same solution which is provided by Cloudera Enterprise. But in the public cloud like AWS, Azure and Google Cloud.
Question-3: Can you please explain what is the use of Cloudera (SDX) Shared Data Experience?
Answer: Using the Cloudera ’s various solutions like Cloudera Enterprise we can have Data warehouse, data engineering, operational databases workloads altogether on the single platform. In such cases Cloudera Shared Data Experience (SDX) enables these diverse analytic processes to operate against a shared data catalog while having security, governance policies and schema. Even your entire Cloud environment is terminated, it still persists the all the metadata information.
Question-4: Can you please tell me which all components are used as part of Cloudera Data Warehouse solution?
Answer: Currently below 5 major components used to make Cloudera Data Warehouse solution.
Question-5: As part of Cloudera Enterprise Data Science solution, which all are underlined product majorly used or it runs on?
Answer: Currently below 3 major components are used
Question-6: What is the use of Apache Kudu?
Answer: Kudu is a Hadoop-native storage
for fast analytics on fast data. It complements the
capabilities of HDFS and HBase.
Question-7: What is Cloudera CDH?
Answer: It is a distribution from Cloudera for Hadoop and its related projects. CDH is an open source product which include many projects few examples are below.
CDH is considered unified
solution for the batch processing, Interactive SQL,
interactive search, Machine Learning, statistical
computation and role-based access control.
Question-8: Please tell me something about the Apache Hive?
Answer: Hive is a data warehouse solution for reading, writing and managing large datasets in distributed storage like HDFS using Hive Query Language (Almost same as SQL). These queries are converted into a series of jobs which execute on a Hadoop Cluster using either MapReduce or Spark.
Question-9: There are many tools available for querying the data, then why to use Hive?
Answer: Hive is a petabyte-scale data
warehouse system which is built on the Hadoop platform.
And one of the best available choices where you expect
high growth of data volume. Hive on either MapReduce or
Spark is best suited for batch data preparation or ETL.
Question-10: Can you please give me some use cases where Hive should be used?
Answer: Let’s see few of the below of the use cases
Question-11: Can Hive metastore used by other Hadoop components?
Answer: Yes, Hive metastore contains the
information regarding data stored on HDFS, so that other
Hadoop components like Impala can leverage that. Even if
you don't have Hive then also this Metastore would be
used.
Question-12: What do you mean by Remote Mode of Metastore?
Answer: Remote mode means metastore should
be running in its separate JVM process. And any other
process which wanted to get connected with the Metastore
for example HiveServer2, HCatalog, Impala etc. should use
the Thrift network API.
Question-25: Can you please tell me some benefits of the Apache Kudu?
Answer: Following are the few benefits of the Kudu
Question-26: What kind of applications where Kudu best fit?
Answer: There are following things which are difficult to implement on currently available Hadoop Technologies, but Kudu can help
Question-47: Which all are the software distributions are supported by Cloudera Manager?
Answer: Cloudera Manager support two software distribution formats
Parcels are self-contained and installed in a versioned directory, which means that multiple versions of a given parcel can be installed side-by-side. You can then designate one of these installed versions as the active one. With packages, only one package can be installed at a time so there is no distinction between what is installed and what is active. If you want to have Rolling Upgrade enabled then parcels are also required and package does not support the rolling upgrades.
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