Featured Post

SQL Query: 3 Methods for Calculating Cumulative SUM

Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or

India is gearing for awesome Data Analytics Jobs

There is no surprise in India, all companies started building Data analytics team and infrastructure. With a lot of Indian companies building their data analytics team, the requirement in the domestic market for this skill will increase over the next couple of years.

The requirement for Data Analytics

  •  There will be an increased demand for data analytics professionals.
  • Industry experts believe that currently big data and analytics is one of the top three skills in demand in India. 
  • Organizations are looking at their internal set of data to understand the business better – as a result, there will be an explosion of various job opportunities in this area.
Top three segments where huge demand for data analytics engineers are Data Science, Statistics, Technical specialists with multiple skills.

Top Demand Roles in Data Analytics

  • Some of the requirements are for tech personnel, statistician, econometrician, data scientist, analytical consultant, functional consultant, etc. 
  • However, there is a short supply of data scientists, according to experts, followed by a functional consultant. 
  • Industries in Utilities and Manufacturing will be the next set to invest in Big Data.

Comments

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

Explained Ideal Structure of Python Class

How to Check Kafka Available Brokers