https://www.databasestar.com/median-mean-mode-in-oracle/ In this video, you’ll learn what the term “median” means, and how to generate an Oracle SQL median value. What is median? It’s the middle value in a list of values, after the values have been sorted in ascending order. It’s kind of like an average, but it’s different, as the average finds the total of the values divided by the number of values and will often not be one of the values in the list. Median will usually be the value in the list that is the middle point. So, how can you calculate the median in Oracle SQL? We use a function called MEDIAN. And in this video, I’ll show you how to use the function and see some examples. For more information on the MEDIAN function, including the SQL used in this video, read the related article here: https://www.databasestar.com/median-mean-mode-in-oracle/
Views: 190 Database Star
In this video we will discuss NTILE function in SQL Server NTILE function 1. Introduced in SQL Server 2005 2. ORDER BY Clause is required 3. PARTITION BY clause is optional 4. Distributes the rows into a specified number of groups 5. If the number of rows is not divisible by number of groups, you may have groups of two different sizes. 6. Larger groups come before smaller groups For example NTILE(2) of 10 rows divides the rows in 2 Groups (5 in each group) NTILE(3) of 10 rows divides the rows in 3 Groups (4 in first group, 3 in 2nd & 3rd group) Syntax : NTILE (Number_of_Groups) OVER (ORDER BY Col1, Col2, ...) SQL Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go NTILE function without PARTITION BY clause : Divides the 10 rows into 3 groups. 4 rows in first group, 3 rows in the 2nd & 3rd group. SELECT Name, Gender, Salary, NTILE(3) OVER (ORDER BY Salary) AS [Ntile] FROM Employees What if the specified number of groups is GREATER THAN the number of rows NTILE function will try to create as many groups as possible with one row in each group. With 10 rows in the table, NTILE(11) will create 10 groups with 1 row in each group. SELECT Name, Gender, Salary, NTILE(11) OVER (ORDER BY Salary) AS [Ntile] FROM Employees NTILE function with PARTITION BY clause : When the data is partitioned, NTILE function creates the specified number of groups with in each partition. The following query partitions the data into 2 partitions (Male & Female). NTILE(3) creates 3 groups in each of the partitions. SELECT Name, Gender, Salary, NTILE(3) OVER (PARTITION BY GENDER ORDER BY Salary) AS [Ntile] FROM Employees Link for all dot net and sql server video tutorial playlists https://www.youtube.com/user/kudvenkat/playlists?sort=dd&view=1 Link for slides, code samples and text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/ntile-function-in-sql-server.html
Views: 37630 kudvenkat
Oracle SQL , PL/SQL, Select Kullanımı ve Eğitimi 6 - select, mod, exp, sign, avg, median, oracle select statement, oracle select education, PL/SQL Beğendiyseniz Beğen Butonuna basmayı ve Abone olarak destek olmayı unutmayın.
Views: 146 Taner TOPCU
Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg PERCENTILE_CONT - Calculates a percentile based on a continuous distribution of the column value in SQL Server. The result is interpolated and might not be equal to any of the specific values in the column PERCENTILE_DISC - Computes a specific percentile for sorted values in an entire rowset or within distinct partitions of a rowset in SQL Server. It calculates the percentile based on a discrete distribution of the column values; the result is equal to a specific value in the column. These two analytic functions explained in this Video.
Views: 1728 IT Port
running total sql server cumulative total in ms sql server running total column In this video we will discuss how to calculate running total in SQL Server 2012 and later versions. We will use the following Employees table for the examples in this video. SQL Script to create Employees table Create Table Employees ( Id int primary key, Name nvarchar(50), Gender nvarchar(10), Salary int ) Go Insert Into Employees Values (1, 'Mark', 'Male', 5000) Insert Into Employees Values (2, 'John', 'Male', 4500) Insert Into Employees Values (3, 'Pam', 'Female', 5500) Insert Into Employees Values (4, 'Sara', 'Female', 4000) Insert Into Employees Values (5, 'Todd', 'Male', 3500) Insert Into Employees Values (6, 'Mary', 'Female', 5000) Insert Into Employees Values (7, 'Ben', 'Male', 6500) Insert Into Employees Values (8, 'Jodi', 'Female', 7000) Insert Into Employees Values (9, 'Tom', 'Male', 5500) Insert Into Employees Values (10, 'Ron', 'Male', 5000) Go SQL Query to compute running total without partitions SELECT Name, Gender, Salary, SUM(Salary) OVER (ORDER BY ID) AS RunningTotal FROM Employees SQL Query to compute running total with partitions SELECT Name, Gender, Salary, SUM(Salary) OVER (PARTITION BY Gender ORDER BY ID) AS RunningTotal FROM Employees What happens if I use order by on Salary column If you have duplicate values in the Salary column, all the duplicate values will be added to the running total at once. In the example below notice that we have 5000 repeated 3 times. So 15000 (i.e 5000 + 5000 + 5000) is added to the running total at once. SELECT Name, Gender, Salary, SUM(Salary) OVER (ORDER BY Salary) AS RunningTotal FROM Employees So when computing running total, it is better to use a column that has unique data in the ORDER BY clause. Text version of the video http://csharp-video-tutorials.blogspot.com/2015/10/calculate-running-total-in-sql-server.html Slides http://csharp-video-tutorials.blogspot.com/2015/10/calculate-running-total-in-sql-server_3.html All SQL Server Text Articles http://csharp-video-tutorials.blogspot.com/p/free-sql-server-video-tutorials-for.html All SQL Server Slides http://csharp-video-tutorials.blogspot.com/p/sql-server.html All Dot Net and SQL Server Tutorials in English https://www.youtube.com/user/kudvenkat/playlists?view=1&sort=dd All Dot Net and SQL Server Tutorials in Arabic https://www.youtube.com/c/KudvenkatArabic/playlists
Views: 53590 kudvenkat
🌎 Brought to you by: https://StudyForce.com 🤔 Still stuck in math? Visit https://StudyForce.com/index.php?board=33.0 to start asking questions. Median: The median of a set of numbers arranged in order of magnitude is the middle value of an odd number of measurements, or the mean of the two middle values of an even number of measurements. Q1. Find the median of the dataset. 746 574 645 894 736 695 635 794 Q2. Find the median of the dataset. 746 574 645 894 736 695 635
Views: 52 Study Force
This video explains you that how you can find a particular record from a database table that is placed at a particular position. Functioning of "rownum" function is explained here and Oracle is being used as the database.
Views: 183 Eduphilics
SQL seems to have gone out of fashion lately—partly due to the NoSQL movement, but mostly because SQL is still used like 20 years ago. As a matter of fact, SQL continued to evolve during the past decades resulting in the current standard of 2011. In this session, we will go through the most important additions since the widely known SQL-92 and explain how the new features work in common use-cases. Among others, we will see how to organize complex queries for better maintainability, how to use analytic functions to calculate running totals, rankings and median. Finally we will have a quick look at the so-called temporal features of SQL:2011 that allow you to query data “as of” a specific time.
Views: 868 Voxxed Days
*** Important: please read this for prerequisites and links to code. In this lesson we'll use the discrete percentile and the continuous percentile functions in SAP HANA. These two functions are Window Functions meaning that they group a query into sets of rows which are named Window Partitions. They differ in their functionality as one value is based on a continuous distribution of column values while the other is based on a discrete distribution, as their names suggest. The code used in this lesson is available here: https://github.com/saphanaacademy/SQL/blob/master/PERCENTILE_CONT_and_PERCENTILE_DISC.SQL * Please see this playlist for more HANA SQL Function videos: https://www.youtube.com/playlist?list=PLkzo92owKnVwpfj5r9EZrPJdZJdUizexs
Views: 3712 SAP HANA Academy
Get Recruitment Notifications of all private and govt jobs , Mock test details ,Previous year question papers only at Freshersworld.com – the No.1 jobsite for entry level candidates in India. (To register : http://freshersworld.com?src=Youtube ) – This video is all about “Careers and Training courses for SQL What actually it is SQL is a standard language for accessing and manipulating databases. What is SQL? • SQL stands for Structured Query Language • SQL lets you access and manipulate databases • SQL is an ANSI (American National Standards Institute) standard ________________________________________ What Can SQL do? • SQL can execute queries against a database • SQL can retrieve data from a database • SQL can insert records in a database • SQL can update records in a database • SQL can delete records from a database • SQL can create new databases • SQL can create new tables in a database • SQL can create stored procedures in a database • SQL can create views in a database • SQL can set permissions on tables, procedures, and views ________________________________________ Which companies are looking for this 1) DELL 2) J.P. Morgan 3) GOOGLE 4) NETCRACKER 5) and many more companies are looking for the same. Best way to learn this course There is a lot of material online and it is actually very difficult to separate the good from the bad. It is about dividing the task of "learning SQL" into a concrete set of actions followed by hand-picking of the material that suits your temper. 1. Database fundamentals: Spend some time on looking what a database is - understand how it works (what is a 'key'? what type of roles exist in a database? what is a table? etc.). 2. Relational databases: Relational databases are probably the most used database organization. It is fairly easy to comprehend so give it a couple of hours. 3. Data types: If you know nothing about data types - (If you cannot answer questions like what is a numeric(0,2)? or what is a string?) then you should definitely look into fundamentals about data types. Understanding the data types in SQL Server. 4. Joins methodology: Understanding how data-sets can be joined across tables and how you extract data. 5. Download SQL Server Express: Download the free version of MS SQL and create a database on your local computer. Salary after doing this course The average SQL Developer salary is $73,345 per year or $38 per hour. This is around 2.5 times more than the Median wage of the country. Entry level positions start at $51,000 while most experienced workers make up to $103,000. Related jobs Average salary Microsoft Server Developer $97,500 Developer Stored Procedures $70,000 Net Sql Developer $70,000 Lead Sql Developer $37,112 SQL Developer Salary(India) The average salary for a SQL Developer is Rs 372,127 per year. People in this job generally don't have more than 10 years' experience. Experience strongly influences pay for this job. Growth after getting job SQL (Structured Query Language) will be among the most desirable job skills in the years ahead. Surprisingly, it is also among the easiest to learn. Here's why: • All computerized businesses — from global banks to small town bakeries — need to have a database, almost all of which are managed using SQL.1 • SQL consistently ranks at — or very near — the top of the most in-demand IT skills.2 • SQL developers take home an average salary of $92,0003 and enjoy very bright career prospects. If this sounds awesome to you, then buckle up and start learning SQL basics! Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube Download our app today to manage recruitment when ever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Views: 27709 Freshersworld.com Jobs & Careers
#LogicMojo Another application problem based on Heap Data Structure. Most Commonly asked during Coding Interview Rounds. this question asked in these below Companies (Adobe | Amazon | Apple | Belzabar | Facebook | Google | Intuit | Microsoft | Morgan Stanley | Ola Cabs | Oracle | SAP Labs | Yahoo)
Views: 423 LogicMojo
Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Window Functions check out this video: https://youtu.be/H6OTMoXjNiM In this video we explore ranking functions available as part of Window Functions: ROW_NUMBER() RANK() DENSE_RANK() NTILE() This tutorial shows an example of when to use each ranking function and the differences between them. Window Functions were first introduced in SQL Server 2005 but further enhancements and support was added in SQL Server 2012. We look at the OVER clause and PARTITION BY. Window Functions can only be included within SELECT or ORDER BY clauses. Functions Available: Aggregate - COUNT, SUM, MIN, MAX, AVG Ranking - ROW_NUMBER, RANK, DENSE_RANK, NTILE Offset - FIRST_VALUE, LAST_VALUE, LEAD, LAG Statistical - PERCENT_RANK, CUME_DIST, PERCENTILE_CONT, PERCENTILE_DIST Windows Functions also have FRAMES ROWS RANGE Window Functions are a powerful tool within SQL Server and I am excited to bring more videos and tutorials working with Window Functions in the future. ROW_NUMBER - unique incrementing integers RANK - same rank for same values DENSE_RANK - same rank for same values NTILE - assigns tile numbers based on number of tiles requested SQL: SELECT Sales_Id , Sales_Total , ROW_NUMBER() OVER(ORDER BY Sales_Total DESC) AS rownum , RANK() OVER(ORDER BY Sales_Total DESC) AS rnk , DENSE_RANK() OVER(ORDER BY Sales_Total DESC) AS dense , NTILE(3) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2 SELECT Sales_Id , NTILE(10) OVER(ORDER BY Sales_Total DESC) AS ntle FROM dbo.Sales_2
Views: 2230 BeardedDev
Select Salary Larger Than Average Salary in Sql Server (SSMS)
Views: 93 C Plus+
Oracle SQL, PL/SQL, Select Kullanımı ve Eğitimi 5 - select, greatest, least, power, sqrt, oracle select statement, oracle select education, PL/SQL Beğendiyseniz Beğen Butonuna basmayı ve Abone olarak destek olmayı unutmayın.
Views: 101 Taner TOPCU
Standard Deviation Use this pattern to calculate the median and then subsequently publish the associated standard deviation values for events, over a streaming time period . ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2016 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 196 Oracle Learning Library
Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about the Percent_Rank Over statement in Rank!
Views: 863 Coffing Data Warehousing
select, functions like min, max, count, sum, avg in oracle database. Demonstration of working on a table and data in it. Please like and subscribe us.
Views: 72 Let's Learn Pro
creating tables with datatypes in oracle Check out our website: http://www.telusko.com Follow Telusko on Twitter: https://twitter.com/navinreddy20 Follow on Facebook: Telusko : https://www.facebook.com/teluskolearnings Navin Reddy : https://www.facebook.com/navintelusko Follow Navin Reddy on Instagram: https://www.instagram.com/navinreddy20 Subscribe to our other channel: Navin Reddy : https://www.youtube.com/channel/UCxmkk8bMSOF-UBF43z-pdGQ?sub_confirmation=1 Telusko Hindi : https://www.youtube.com/channel/UCitzw4ROeTVGRRLnCPws-cw?sub_confirmation=1
Views: 4282 Telusko
If your query’s Search ARGuments don’t let SQL Server effectively use indexes and statistics, your query plan will get ugly in a hurry. Learn why, plus see how implicit conversions and index key order affect your plans.
Views: 4079 Brent Ozar Unlimited
How are NULL values treated while Sorting Data https://www.youtube.com/channel/UCnBpiBIOtRgMsk4G7Ri1jbQ
Views: 547 Oracle SQL
This video demonstrated how to change the logic of a given row calculation based on the value in another column. You may run in to a scenerion where you need to implement this when you have a requirement that the rows with one dimension value have logic "X" (for instance Mean) and the the rows with a different dimension value have logic "Y" (for instance a Median) assigned. This is accomplished with the Switch (Case) expression in the OBIEE formula builder.
Views: 8051 Justin W. Steigerwalt
Explains Column Function MIN or How to get the minimum value of a column. From http://ComputerBasedTrainingInc.com SQL Course. Learn by doing SQL commands for ANSI Standard SQL, Access, DB2, MySQL, Oracle, PostgreSQL, and SQL Server.
Views: 295 cbtinc
Tutorial on calculating the standard deviation and variance for statistics class. The tutorial provides a step by step guide. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos: How to Calculate Mean and Standard Deviation Using Excel http://www.youtube.com/watch?v=efdRmGqCYBk Why are degrees of freedom (n-1) used in Variance and Standard Deviation http://www.youtube.com/watch?v=92s7IVS6A34 Playlist of z scores http://www.youtube.com/course?list=EC6157D8E20C151497 David Longstreet Professor of the Universe Like us on: http://www.facebook.com/PartyMoreStudyLess Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/ MyBookSucks.Com
Views: 1486625 statisticsfun
https://acadgild.com/big-data/big-data-development-training-certification/ Big Data and Hadoop Developer 2018 | Big Data as Career Path | Introduction to Big Data and Hadoop Big Data is growing explosively bigger & bigger every day. Get to know what makes Big Data the next big thing. What is Big Data all about? Big Data has been described in multiple ways by the industry experts. Let’s have a look at what Wikipedia has to say. Big Data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. To put it in simple words, Big Data is the large volumes of structured and unstructured data. Did You Know? • According to Wikibon and IDC, 2.4 quintillion bits are generated every day? • Did you know, the data from our digital world will grow from 4.4 trillion gigabytes in 2013 to 44 trillion gigabytes in 2020? • In addition to that, data from embedded systems will grow from 2% in 2013 to 10% in 2020 The sheer volume of the data generated these days has made it absolutely necessary to re-think how we handle them. And with growing implementation of Big Data in sectors like banking, logistics, retail, e-commerce and social media, the volume of data is expected to grow even higher. Other than its Sheer size, what else makes Big data so important? • Mountains of data that can be gathered and analyzed to discover insights ad make better decisions. • Using Big data, social media comments can be analyzed in a far timelier and relevant manner offering a richer data set. • With Big Data, banks can now use information to constantly monitor their client’s transaction behaviors in real time. • Big Data is used for trade analytics, pre-trade decision-support analytics, sentiment measurement, predictive Analytics etc. • Organizations in media and entertainment industry use Big Data to analyze customer data along with behavioral data to create detailed customer profiles. • In the manufacturing and natural resources industry, Big Data allows for predictive modeling to support decision making. What is Big Data and its importance in the near future Gartner analyst Doug Laney introduced the 3Vs concept in 2001. Since then, Big Data has been further classified, based on the 5Vs. • Volume – The vast amounts of data generated every second. • Variety – The different types of data which contribute to the problem, such as text, videos, Images, audio files etc. • Velocity – The speed at which new data is generated and moves around. • Value – Having an access to Big Data in no good unless we turn it into value • Veracity - Refers to the messiness or trustworthiness of the data. Why is Big Data considered as an excellent career path? According to IDC forecast, the Big Data market is predicted to be worth of $46.34 billion by 2018 and is expected to have a sturdy growth over the next five years. Big Data Salary: As per Indeed, the average salary for Big Data professionals is about 114,000 USD per annum, which is around 98% higher than average salaries for all job postings nationwide. And Glassdoor quotes the median salary for Big Data professionals to be 104,850 USD per annum. Big Data professionals get a high percentage of hike in salary and Data scientists get a very good hike up to 8.90% YOY. As the Big Data market grows, so does the demand for the skilled workforce? According to Wanted Analytics, the demand for Big Data skills is to increase by 118% over the previous year. Do you need more reasons to believe in the power of Big Data? EMC, IBM, Cisco, Oracle, Adobe, Amazon, Accenture are just a few of the top companies who are constantly looking for Big Data skills. With the right training and hands-on experience, you too can find your dream career in one of these top companies. The path to your dream job is no longer a mystery. Sign up now & get started with your dream career. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 48645 ACADGILD
blog: https://connor-mcdonald.com A video to help you understand the "thought process" behind answering AskTom questions. In this episode, how does the optimizer deal with the 12c in-database archiving feature ====================================================== Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Views: 519 Connor McDonald
Another fantastic SQL Tutorial brought to you by BeardedDev. If you are new to working with Windows Functions check out this video: https://youtu.be/H6OTMoXjNiM If you want to find out more about the Group By clause and working with aggregate functions check out this video: https://youtu.be/TYD6gWP3jBg If you are interested in finding out more about ranking functions available in SQL Server check out this video: https://youtu.be/xL7BtCT7ix4 In this tutorial we explore ranking functions as part of Window Functions using the Group By clause within SQL Server. In this example we go through how to rank customers based on the sum of the orders they have placed with us. The window function example also covers the difference between using Rank and Dense_Rank. SQL SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY Total DESC SELECT Sales_Cust_Id , SUM(Sales_Total) AS Total , RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS rnk , DENSE_RANK() OVER(ORDER BY SUM(Sales_Total) DESC) AS dnse FROM dbo.Sales_2 GROUP BY Sales_Cust_Id ORDER BY rnk
Views: 1062 BeardedDev
In this Video, We will be discussing about the skills needed for data analyst and data scientist roles. The reason for making one video to discuss both data analyst and data scientist roles is because there are a lot things in common between both these two role. Data Analyst does a lot of descriptive analytics. On the other hand, Data Scientist also does descriptive analytics. But also data scientists do something called predictive analytics. So let's try to understand what Descriptive and Predictive analytics mean. Descriptive Analytics is all about analyzing the historical data to answer this particular question which is "WHAT HAS HAPPENED TILL NOW??". Predictive Analytics also involves analysis of historical data but, predictive analytics is mainly all about answering the question which is.. "WHAT WILL HAPPEN IN THE FUTURE??" Let's understand this with a simple example. I have sales data of XYZ company in a table format. As part of descriptive analytics, we can simply create a scatter chart so that we can quickly understand how the company has been performing in terms of sales in the previous years. Now let's look at predictive analytics. So now that we know how the company has been performing in the previous years, can we predict what's gonna happen to the sales in the coming years?.. Will the sales increase, or decrease or does it remain the same??.. If we are able to answer these questions, then it is called as predictive analytics. So coming back to the comparison of Data Analyst and Data Scientist roles, Now that we have some idea about the differences between the two roles, lets now look at skills needed for each of these two roles. Data Analysts should be good with Math and Statistics. They should be good with handling the data. -- This includes knowledge of ETL (or Extract Transform and Load) operations on data and experience working with popular ETL tools such as Informatica – PowerCenter,IBM – Infosphere Information Server, alteryx, Microsoft – SQL Server Integrated Services (SSIS), Talend Open Studio, SAS – Data Integration Studio ,SAP – BusinessObjects Data Integrator, QlikView Expressor or any other popular ETL tool. -- They should be comfortable in handling data from different sources and in different formats such as text, csv, tsv, excel, json, rdbms and others popular formats. -- They should have excellent knowledge of SQL (or Structured Query Language). Its a Bonus to have -- The knowledge of Big data tools and technologies to handle large data sets. -- NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- They Should have experience working with popular data analysis and visualization packages in python and R such as numpy, scipy, pandas, matplotlib, ggplot and others. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool They should have good communication and storytelling skills. Lets now look at the skills needed for data scientist role. Data scientist also does descriptive analytics just like data analysts. Apart from that, they also do predictive analytics. So as part of Descriptive analytics: Data Scientists should be excellent with Math and Statistics. Data scientists should be good with handling data -- So yes, they should have experience working with popular ETL frameworks. -- They should have excellent knowledge of SQL. -- Many companies expect data scientists to have mandatory knowledge of big data tools and technologies to work with large datasets and also to work with structured, semi-structured and unstructured data. -- Its good to have the knowledge of NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- Experience working with popular data analysis and visualization packages in python and R. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool. They should also have excellent communication and storytelling skills. And as part of predictive analytics, They should be good in using the techniques in artificial intelligence, data mining, machine learning, and statistical modeling to make future predictions using the historical data. Exposure to popular predictive analytics tools such as SAP Predictive analytics, Minitab, SAS Predictive Analytics, Alteryx Analytics, IBM predictive analytics or any other popular predictive analytics tool. They should have very good exposure to popular machine learning and deep learning packages available for Python and R such as scikit learn, tensorflow, theano,rpart, caret, randomForest, nnet, and other popular libraries.
Views: 277 Art of Engineer
MS SQL Server get 2 second highest salary and N-no highest salary
Views: 116 ANKUR DEV TOMAR
🐧 僠 僰 ♠ ♣ ♥ ♦ ⓭ ⧨
Views: 228 Geraldo Viana
Click here to Subscribe to IT PORT Channel : https://www.youtube.com/channel/UCMjmoppveJ3mwspLKXYbVlg Adds one partition to the partition function. boundary_value determines the range of the new partition, and must differ from the existing boundary ranges of the partition function. Based on boundary_value, the Database Engine splits one of the existing ranges into two. Of these two, the one where the new boundary_value resides is considered the new partition. Before that We should add on empty file for this database and add it to Partition scheme using NEXT USED.
Views: 226 IT Port
Using Skewed Performance Data To Your Advantage is an important seminar for all DBAs because EVERY Oracle DBA has experienced the effects of skewed performance data, but most don't know how to use that knowledge to their advantage. Have you ever had different groups of users experience different response times from the same exact SQL? Has your IO Admin said the IO response time is fine, but you know single block IOs are taking around 25ms? If you have experienced something like this, then you have likely experienced skewed performance data. I designed this seminar so you will know exactly how to avoid this situation of skewed Oracle wait times and SQL elapsed times. I will teach you how to gather the appropriate data, understand the data and visually demonstrate the situation. This seminar is going to have a deep impact on your Oracle performance work. The skills I teach you will help you devise a sensible solution. Join me for a practical and entertaining journey as we explore the truth about elapsed times and wait events times, turning a potential disaster into your advantage. For details go to http://www.orapub.com/video-seminar-skewed-performance-data This contains eight modules: 1. Introduction: Revealing deception (this video) 2. Understanding your data 3. Common histograms in Oracle performance analysis 4. The problem: Skewed wait times 5. My advantage: Using the skewed wait times 6. The problem: Skewed elapsed times 7. My advantage: Using the skewed elapsed times 8. Resources and seminar close What you will learn: * Know what skewed data is * Be able to communicate why skewed data is a serious problem * Be able to recognize skewed data * Know how to gather individual wait event occurrence times, not average * Know six ways to gather individual SQL execution times, not average * Understand, demonstrate and communicate if skewed data is a problem * Recognize the five common statistical distributions * Be able to describe data using one picture and two statistics * Know histogram construction details * Know how to use the difference between the mean and median * Be able to install and use the free stats package, R * Be able to use the difference between the mean and median * Know how a histogram can cause faulty thinking * Understand why v$event_histogram deceives * Be able to use an AWR and Statspack report to recognize skewed data problems * Know how to create a proper SQL execution time histogram * Know how to create a proper wait event occurrence histogram For more information: http://www.orapub.com
Views: 431 OraPub, Inc.