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WHAT IS ETL ?.

ETL stands for Extract, Transform, and Load. It is a process of collecting data from various sources, transforming it into a format that is suitable for analysis or storage, and then loading it into a target system such as a data warehouse or a database.

The extract phase involves pulling data from multiple sources, including databases, applications, files, and APIs.

The transform phase involves converting the data into a format that can be easily processed and analyzed. This phase may include data cleansing, data validation, and data enrichment.

The load phase involves inserting the transformed data into a target system such as a data warehouse or a database. This phase may include data validation and indexing.

The ETL process is used to integrate data from multiple sources into a single location, which can then be used for analysis, reporting, and other business intelligence purposes. ETL tools are available that automate much of this process, making it faster and more efficient.

What is data analysis?
Data analysis is the study of patterns in large datasets. This process can include statistical modelling, business intelligence, and machine learning as well as many other approaches. Data analysts use a variety of tools to store and analyze data, including SQL, SAS Enterprise Miner (SAS), Excel, R, Python and Tableau.

Data analysts have been around since the industrial revolution when factories realized they needed to track their products for better business practices. The first known use of this practice was in 1824 when the textile manufacturer Robert Owen hired an actuary to ensure that what he was producing was profitable.

What is Data analysts?
Data analysts are the experts who translate, gauge and capture valuable insights from the large volumes of unstructured data that has been collected for the sole purpose of organisational growth. This data can be utilized for greater sales, product development, optimized operations, and reduction of risks through accurate forecasting models.

Why Data analytics is useful?
Data analysts are the experts who translate, gauge and capture valuable insights from the large volumes of unstructured data that has been collected for the sole purpose of organisational growth. This data can be utilized for greater sales, product development, optimized operations, and reduction of risks through accurate forecasting models. The analysts analyze the data and gather knowledge via the insights. This knowledge is further applied across the realms of processes and industries.

In today’s times, data analytics is the most important component for any business. It helps them gather insights on market trends and make data-driven decisions thereby maximizing profits. The application of Data Analytics is immense spreading across sectors. Finance, E-Commerce, banking, logistics, supply chain, healthcare, etc. are just to name a few fields where the technology is marking its presence.

How it may help in your career?
In the current digitally-driven times, technology and data are omnipresent. Owing to tech advancements, data analytics is one of the important markets today. According to India Brand Equity Foundation, the Indian Data Analytics industry is expected to hit the $118.7 billion mark by 2026. The data analytics has become a vital component of businesses across industries. It provides actionable insights into customer behaviour along with comprehensive market analysis thereby providing a competitive edge to organisations. Due to all these reasons, data analytics is gradually gaining popularity across the world.

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