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SQL Interview Success: Unlocking the Top 5 Frequently Asked Queries

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 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

New fresh best Daily Python tips to your Inbox

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Thanks for reading www.biaganalytics.me . Just add your details to get Python daily tips to your inbox. #daily-python-tips-to-your-inbox-add-value-to-your-career The below are the 6 top benefits. Alternatively try for Python the best training. Presence of Third Party Modules Extensive Support Libraries Open Source and Community Development Learning Ease and Support Available User-friendly Data Structures Productivity and Speed Subscribe to daily Python tips

Data mining Real life Examples

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Data mining is a process to understand about unused data and to get insights from the data. You need a quick tutorial and examples to perfect with this process. The best example is the Backup data business use case to mine the data for useful information. The backup data is simply wasted unless a restore is required. It should be leveraged for other, more important things. This method is called Data Mining Technique . --- For example, can you tell me how many instances of any single file is being stored across your organization? Probably not.  But if it’s being backed up to a single-instance repository, the repository stores a single copy of that file object, and the index in the repository has the links and metadata about where the file came from and how many redundant copies exist. By simply providing a search function into the repository, you would instantly be able to find out how many duplicate copies exist for every file you are backing up, and where they are coming from. Know

SAN Storage: All about its 4 Real Usages

The storage area network fundamentals everyone must know you understand about applications. These applications may refer to horizontal applications (e.g., backup, archiving, data replication, disaster protection, and data warehousing) or vertical applications (e.g., online transaction processing (OLTP), enterprise resource planning (ERP) business applications, electronic commerce, broadcasting, prepress, medical, and geophysics). SAN is also well suited to making performance and high availability more scalable and more affordable in applications such as clustering and data sharing. This article discusses two major horizontal applications, backup and data sharing, and how they interact with SAN. The other important point is, if you are a job seeker the below list is helpful. This is just a like a one time SAN interviews refresher. So you can do well in interviews. 1. Realtime (or window-less) backup The importance of window-less backup (also called hot backup) becomes obvious when it a

20 Top Benefits of SAN (storage area network)

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In my previous post I have covered about fundamentals of SAN (storage area networks). The below are the list of top 20 benefits of storage area networks.   What are the major benefits of san Greater performance: Current Fibre Channel SANs allow connection to disks at hundreds of megabytes per second; the near future will see speeds in multiple gigabytes to terabytes per second. Increased disk utilization: SANs enable more than one server to access the same physical disk, which lets you allocate the free space on those disks more effectively. Higher availability to storage by use of multiple access paths: A SAN allows for multiple physical connections to disks from a single or multiple servers. Deferred disk procurement: That’s business-speak for not having to buy disks as often as you used to before getting a SAN. Because you can use disk space more effectively, no space goes to waste. Reduced data center rack/floor space: Because you don’t need to buy big servers with room for lot

SAN real configuration ideas to speed the devices

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In today’s terms, the technical description of a SAN (Storage Area Network) is a collection of computers and storage devices, connected over a high-speed optical network and dedicated to the task of storing and protecting data. In a nutshell, you use a SAN to store and protect data.  A SAN uses the SCSI (Small Computer Storage Interconnect) and FC (Fibre Channel) protocols to move data over a network and store it directly to disk drives in block format. Photo credit: Srini SAN Configuration Today, that high-speed network usually consists of fiber-optic cables and switches that use light waves to transmit data with a connection protocol known as Fibre Channel. (A protocol is a set of rules used by the computer devices to define a common communication language.) More and more, regular Internet protocol (IP)–based corporate networks, and even the Internet, are being used as the network part of a SAN.  Nowadays Internet is the part of SAN IP Networks IP networks that

R Language: Data types and structures

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To make the best of the R language, you'll need a strong understanding of the basic data types and data structures and how to operate on those. Very Important to understand because these are the things you will manipulate on a day-to-day basis in R. Everything in R is an object. The basic data types  logical (e.g., TRUE, FALSE) integer (e.g,, 2L, as.integer(3)) numeric (real or decimal) (e.g, 2, 2.0, pi) complex (e.g, 1 + 0i, 1 + 4i) character (e.g, "a", "swc") The basic data structures in R vector list matrix data frame factors tables Vector in R A vector is the most common and basic data structure in R and is pretty much the workhorse of R.  Vectors can be of two types: atomic vectors lists

R language five useful real functions

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In Data Science R language plays a crucial role. In the R language, there are five top functions present. These functions I have explained in this post. 1. Storing Values Stores a value to variable. The value can be same or mixed data type. It is available /* */ to give comments for your scripts inside Char, Double, Boolean and Decimal are more frequently used data types 2. Reading data from files Large data objects will usually be read as values from external files rather than entered during an R session at the keyboard.  R input facilities are simple and their requirements are fairly strict and even rather inflexible. There is a clear presumption by the designers of R that you will be able to modify your input files using other tools, such as file editors or Perl1 to fit in with the requirements of R. Generally this is very simple. If variables are to be held mainly in data frames, as we strongly suggest they should be, an entire data frame can be read directly w