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3 Top Books Every Analytics Engineer to Read

Many of the analytics jobs nowadays are for the financial domain. The top financial domains are Banking, Payments, and credit cards. 
The Best Books are on:
SASUNIXPython

The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript.  I have selected three books for beginners of data analysts. 

1. SAS best book 
I found one best book that is little SAS. This post covers almost all examples and critical macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.
2. UNIX best book
The basic commands you will get everywhere. The way of executing Macros or shell scripts is really you need. This is a good book so that you can automate…

Top Hive interview Questions for quick read (1 of 2)

The selected interview questions on HIVE. Hive is a technology being used in Hadoop eco system.

1) What are major activities in Hadoop eco system?
Within the Hadoop ecosystem, HDFS can load and store massive quantities of data in an efficient and reliable manner. It can also serve that same data back up to client applications, such as MapReduce jobs, for processing and data analysis.
2)What is the role of HIVE in HADOOP Eco system?
Hive, often considered the Hadoop data warehouse platform, got its start at Facebook as their analyst struggled to deal with the massive quantities of data produced by the social network. Requiring analysts to learn and write MapReduce jobs was neither productive nor practical.
Hive Questions
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3)What is Hive in Hadoop?
Facebook developed a data warehouse-like layer of abstraction that would be based on tables. The tables function merely as metadata, and the table schema is projected onto the data, instead of actually moving potentially massive sets of data. 

This new capability allowed their analyst to use a SQL-like language called Hive Query Language (HQL) to query massive data sets stored with HDFS and to perform both simple and sophisticated summarizations and data analysis.

4)What is the requirement for HIVE learning?
If you are familiar with basic T-SQL data definition language (DDL) commands, you already have a good head start in working with Hive tables.

5)What is CREATE Table in HIVE?
CREATE EXTERNAL TABLE iislogtest (
       date STRING,
       time STRING,
       username STRING,
       ip STRING,
       port INT,
       method STRING,
       uristem STRING,
       uriquery STRING,
       timetaken INT,
       useragent STRING,
       referrer STRING
)
ROW FORMAT DELIMITED FIELDS TERMINATED BY ',';

6) What is SELECT statement in Query?
SELECT *
FROM iislogtest; 
This simple query, simply returns all rows found in the iislogtest table.

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