Data Extraction? Defining Everything about Data Extraction

Posted on Mar 24, 2020
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

Data Extraction has turned to be one of the common terms in the e-commerce business sector. Data extraction and other web scraping services are changing the games of world business. Even in between the discussion about legal issues of Data extraction, people are still using it to improve their overall business.

Now you may get into more curious state to know about the Data extraction. Everyone describes it in their own way.

In simple words, Data extraction is the process of collecting data from various sources. Companies will take this data in collective manner and stores in their warehouses. It is usually used to analyze the data in more scientific way.

Just think that you need to get the data of sales from this whole data set. You will aggregate this data in the way you want. After that you may combine it with another prospect to get the desired data set. It is called as Extraction, Transformation and Loading. Here, the first key process is Extraction or Data Extraction. Now you may be clear with the importance of Data Extraction in every company.

 

How Data is get Extracted?

There are different methodologies to perform this task. Yet to get precise look, letโ€™ categorize it into Structured and Unstructured Data.

 

For the Structured Data

For the structured data, extraction (Scrape data from website) will be done within the source system. The steps that includes in this process are:

Full Extraction: In this process, all the data from the system is extracted without considering any criteria. It will be simple yet the final load will be greater.

Incremental Extraction: In this process, the changes in the source data are getting recorded. So you donโ€™t need to extract the complete data in the next extraction. To perform this task, you need to create a change table to track the continuous changes.

Some warehouses have the Change Data Capture (CDC) within the system. The logic behind this extraction is very complex, yet the system load will less in comparison to the Full Extraction.

 

 

For the Unstructured Data

For the unstructured data, you need to prepare the data in the way you need to extract. You will need to store the data in a data lake until the time you need to extract the data.

Also, you should remove the noise from the data. It will in the form of whitespace, symbols and duplicate results.

The challenges of Data Extraction

Usually, we will perform Data Extraction to move the result to another system or else for data analysis. For the data analysis, you need to perform ETL, so that the results can be pulled to the same source. Here comes the first challenge. You need to combine this data from various sources to a single entity without any errors. Also, it should perform very well. This need to have plenty of planning. If you are combining the structured Data and Unstructured Data, then it means a lot in the planning.

The next challenge is the security. While extracting a data base, it may contain sensitive data like Personal Identification Number. You should move these data securely. Also, while transmitting this data, you need to encrypt it so that the malpractices wonโ€™t happen.

Data Extraction Tools

There are many different types of Data Extraction Tools. Here we go with few.

Batch Processing Tool

This tool will categorize your data into different batches. It will reduce the power you need to implement during the data extraction. For the homogenous system and data, this tool will be a boon without doubt. Also it is applicable for the closed systems.

Open Source Tools

If you are looking for a budgetary data extraction, you can use the open source tools. Many vendors+ provides this since, it is very effective and useful.

Cloud Based Tools

Cloud Based are the latest data extraction tools. If you are ending to extract data in the real time, then cloud based data extraction is the best option. Here, the cloud will offer space for the data storage and analysis. If you have this tool, then you donโ€™t need to have data experts in the in-house.

Why Datahut a savior?

Do you want to extract structured or unstructured data? Do you want to convert the data for analysis purpose? Do you want to get the best Data Extraction Services? Are you afraid about the legal issues and the challenges while performing data extraction? Then Datahut is the best choice for you.

Contact Datahut for the Best Data Extraction Process.

 

 

 

 

 

 

 

 

 

 

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