Analyst Certification material :
includes in depth complex scenarios solved for Sqoop,
Hive,Impala, Joins, regular expressions, complex
queries based on analytical functions etc covering the entire syllabus.
performance based exam to do hands-on task on CDH5
videos will be provided to help with this. Practice
and Sample Problem
with its solutions will be provided in HadoopExam Simulator only (Check
Below Video to understand more). In
real exam you will be asked many problems which can be
solved mixing the components e.g. Hive and Sqoop , Impala etc.
We have added complex scenerio as well as step by step
problem scnerios not only helps for CCA159 exam, but also it will help
in your real life BigData problems, Hence solve these scenarios and
become BigData Analytcis experts, with HandsOn.
Once you complete all 73 problem scenarios your own, you will be ready
to clear real CCA159 exam. This is the most demanding certification
among the Hadoop Analyst on HadoopExam.com
This certification is helpful for all the analyst and data scientists
who are working in various industry like E-Commerce,
Finanace, Investment Banks, Health Care , Telecom and with
many start ups.
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: Vineet (CCA175) 90%
have cleared CCA175 and Scored 9 out of 10 questions.....
have gone through all the CCA175 Questions and practice the code
provided by HadoopExam.com
for your questions and code content. The content was excellent and it
helped me a lot.
I have gone through all the Spark Professional training module as well)
you sooo.. much
have cleared CCA175 certification yesterday with 100% result.
collection of practice helped me a lot. I really
appreciate the effort put in by you.
am also looking for OCP SE8( Oracle Certified Professional, Java
Programmer II IZ0-809) and CCP(Cloudera Data Engineer, DE575)
practice softwares. Please let me know at the earliest if
As CCA159 Certification Required
Basic Hadoop and Hive and Impala Knowledge (So the
best suitable package is below, which Includes Hadoop
Training as well CCA159 Simulator (50%+10% off)
This entire package will prepare you for Hadoop as well as prepare you
for BigData Analyst in few days. (It will take
approx. 60Hrs to complete all these material)
Use Extract, Transfer, Load (ETL) processes to
prepare data for queries.
Import data from a MySQL database into HDFS using
Export data to a MySQL database from HDFS using Sqoop
Move data between tables in the metastore
Transform values, columns, or file formats of
incoming data before analysis
Structure to the Data
Use Data Definition Language (DDL) statements to
create or alter structures in the metastore for use by Hive and Impala.
Create tables using a variety of data types,
delimiters, and file formats
Create new tables using existing tables to define the
Improve query performance by creating partitioned
tables in the metastore
Alter tables to modify existing schema
Create views in order to simplify queries
Use Query Language (QL) statements in Hive and Impala
to analyze data on the cluster.
Prepare reports using SELECT commands including
unions and subqueries
Calculate aggregate statistics, such as sums and
averages, during a query
Create queries against multiple data sources by using
Transform the output format of queries by using
Perform queries across a group of rows using
should you expect?
You are given ten to twelve customer problems with a
unique large data set, a CDH cluster, and 120 minutes. For each
problem, you must implement a technical solution with a high degree of
precision that meets all the requirements. You may use any tool or
combination of tools on the cluster (see list below) -- you get to pick
the tool(s) that are right for the job. You must possess enough
knowledge to analyze the problem and arrive at an optimal approach
given the time allowed. You need to know what you should do and then do
it on a live cluster, including a time limit and while being watched by
Number of Questions: 10–12 performance-based
(hands-on) tasks on CDH5 cluster. See below for full cluster
Time Limit: 120 minutes
Passing Score: 70%
is this for?
Candidates for CCA Data Analyst can be SQL devlopers,
data analysts, business intelligence specialists, developers, system
architects, and database administrators.There are no prerequisites.
is the best way to prepare?
The CCA Data Analyst exam was created to identify
talented SQL developers looking to stand out and be recognized by
employers looking for these skills. It is recommended that those
looking to achieve this certification start by takingCloudera's
Data Analyst trainingcourse,
which has the same objectives as the exam.
We have training subscriber from TCS,
IBM, INFOSYS, ACCENTURE, APPLE, HEWITT, Oracle , NetApp , Capgemini
on Spark or PDF to read : Machine Learning with Spark, Fast Data
Processing with Spark (Second edition), Mastering Apache Spark,
Learning Hadoop 2, Learning Real-time Processing with Spark Streaming,
Apache Spark in Action, Apache Spark CookBook, Learning Spark, Advanced
Analytics with Spark Download.
the material is
helpful to test our knowledge. I passed the exam. Thanks for your help!
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