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SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

 Here are the five top commonly asked SQL queries in the interviews. These you can expect in Data Analyst, or, Data Engineer interviews. Top SQL Queries for Interviews 01. Joins The commonly asked question pertains to providing two tables, determining the number of rows that will return on various join types, and the resultant. Table1 -------- id ---- 1 1 2 3 Table2 -------- id ---- 1 3 1 NULL Output ------- Inner join --------------- 5 rows will return The result will be: =============== 1  1 1   1 1   1 1    1 3    3 02. Substring and Concat Here, we need to write an SQL query to make the upper case of the first letter and the small case of the remaining letter. Table1 ------ ename ===== raJu venKat kRIshna Solution: ========== SELECT CONCAT(UPPER(SUBSTRING(name, 1, 1)), LOWER(SUBSTRING(name, 2))) AS capitalized_name FROM Table1; 03. Case statement SQL Query ========= SELECT Code1, Code2,      CASE         WHEN Code1 = 'A' AND Code2 = 'AA' THEN "A" | "A

What is MapR? Here are Top Features to Use in Data Analytics

Map R features

In the following post I have given information about MapR and its popular features. The MapR’ is a San Jose, California-based organization code corporation that progresses and vends Apache Hadoop-derived code. The corporation gives to Apache Hadoop programs like HBase, Pig (programming language), Apache Hive, and Apache ZooKeeper.

Apache Hadoop and Apache Spark, a distributed file system, a multi-model database management system, and event stream processing, combining analytics in real-time with operational applications. Its technology runs on both commodity hardware and public cloud computing services.

MapR was picked by Amazon to supply an improved variant of Amazon’s Elastic Map Reduce (EMR) facility MapR has as well been picked by Google as a technics collaborator. MapR was capable to split the minute type pace record onto Google’s calculate program.

"MapR delivers 3 adaptations of their article familiar like M3, M5 and M7. M3 is a gratis variant of the M5 article with debased obtainability attributes. M7 is like M5, however joins a aim assembled revision of HBase that executes the HBase API immediately in the file-system level.

MapR is confidentially held with first financing of $9 million as of Lightspeed Venture Partners and New Enterprise Associates eversince 2009. 

Key MapR top-managers come as of Google, Lightspeed Venture Partners, Informatica, EMC Corporation and Veoh. MapR had an extra circular of financing guided by Redpoint in August, 2011. A C circular was guided by Mayfield Fund that as well contained Greenspring Associates as an Investor.


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