An Ultimate Guide To Data Extraction Tools

Imagine it's 9 am on a Monday morning and you are about to kick-start your day at work but first, you need a hot cup of coffee! You go the pantry and take the measuring cups from the shelf and measured the right amount of coffee beans. Then you ground the beans in a grinder, add the coffee powder and other ingredients to the saucepan and keep it on the stove. After few minutes, you see your coffee boiling. A quick look at your watch and it's already 9:45 am! You pour the coffee into your favorite coffee mug, rush to your desk and finally start your work. Let us remind you, that you would need to repeat the same process for the evening coffee as well and if you are a #CoffeeLover (like most of us at the #TechDogs) you might have to repeat it for 4-5 times a day.

Wait! What century are we living in?

We don't have to do all this, right?

These days all we must do is press the button and out comes the coffee falling from those coffee barrels. The credit goes to the little coffee machine in the corner of the pantry, sitting peacefully and making no noise. Similar to those coffee machines, we have Data Extraction Tools, which simplify the extraction of data from different sources without going through any cumbersome process.

You see, just like a cup of coffee goes through a process from raw beans to a flavorful liquid, data is also stored in an unstructured way, locked away in documents, spreadsheets and databases. Extracting this information manually and converting it into something useful can be time-consuming and challenging (just like that Monday morning scenario). To avoid that, Data Extraction Tools (read: your coffee machine) helps you automatically organize your structured data that's easily searchable and accessible whenever you need it (just like a hot cup of coffee)!

Having said that, we suggest you prepare your coffee mugs as we are about to espresso these tools in detail.

An Aromatic Concept Of Data Extraction Tools

 
Just like a coffee machine automatically extracts the flavors of raw coffee beans and pours the final product into your cup, Data Extraction Tools automatically extract unstructured data from multiple sources and store structured information in an accessible database or spreadsheet. Businesses use these tools to generate leads, extract information from public documents and competitors' webpages, identify trends and improve the analysis of otherwise unstructured data. These tools can be used for a variety of purposes such as information retrieval, auditing, text mining, market research and more.

Do you know what's more awesome? Data Extraction Tools can be integrated with data quality tools and data preparation tools to clean and organize the extracted data. Besides, you can combine these tools with data integration tools so that multiple data types and sources can be brought together in one place. Now that we are done understanding what these tools exactly are; let's spill the beans about how these tools evolved.
 

The Unfiltered History Of Data Extraction Tools

 
Here we present you the steaming hot timeline of these tools.

ETL, data warehousing and web scraping have played a massive role in the evolution of Data Extraction Tools. In the 1980s and 1990s, data warehouses grabbed the spotlight and with that ETL (extract, transform and load) also became commonplace. ETLs were needed to extract the data from siloed sources or systems, transform it and load it into the destination format.

After the introduction of the World Wide Web, even the web pages contained different types of data namely text, photos, video and audio. In 2004, BeautifulSoup was introduced as a library of popular script modules and algorithms. Soon, it emerged as one of the most advanced and sophisticated libraries for web scraping (a method of extracting data from websites). By this period, the Internet have become a much more accessible source of information for anyone with an internet connection. With time, BeautifulSoup was preferred by many users for extracting texts, pictures and other data on the web.

A few years later, visual web scraping spread its roots and helped users manually highlight the information and extract it into an Excel spreadsheet or database. Upgrades in the visual web scrapers made them better, faster and cheaper. As the amount of data grew, the methods and tools for data extraction proliferated and became more sophisticated. One of such proliferations is what we call - Data Extraction Tools.

Pretty cool evolution there, right? Now let's head to the next section and figure out how these tools work. Don't worry, be frappe as we will keep it quite simple to understand.
 

A Quite Robusta Working Of Data Extraction Tools

Have you bean waiting for this section? Well, better latte than never, sip on.

Data Extraction Tools are part of the ETL (extract, transform and load) so gathering and retrieving data from a single source or multiple sources is the first step. These tools extract the data and load it into a data warehouse or the cloud for further processing and analysis.

Later, these tools effectively read various systems such as databases like ERPs (enterprise resource planning) and CRMs (customer relationship management) and collect the data found within each source. Most tools can gather any type of data (structured, semi-structured and unstructured). Its combined ability allows users to extract information from huge data sources.

Data Extraction Tools perform the process of data extraction in three ways – full, incremental and unstructured. In full data extraction, these tools take a single-trip retrieval of data from a given source. During incremental extraction, Data Extraction Tools visit data source systems multiple times, to monitor any changes made by the source. The third method is unstructured data extraction, which is probably the most complex of all. Examples of data that fall under this group are usually varied which include web pages, emails, text, documents, PDFs and so on.

So, that's how these tools work! Now watch out as your cup is about to overflow with the benefits of these amazicano tools.
 

Flavorful Benefits Of Data Extraction Tools

 
Let's spell Espresso Patronum and unlock the benefits of these tools.
 

• Scalability

  Data Extraction Tools automate the whole process of extracting data, which eventually assists in scaling data operations and expanding services. They automate processes and eliminate manual input; thereby freeing up resources to focus on other areas of the business or take on new projects.

• Accuracy

  If you prefer accuracy in literally everything (including data), then Data Extraction Tools are the best bet for you. These tools provide you more advanced preparation process for managing and extracting data from complex data streams. Besides, with the help of these tools you get rid of human errors in data extraction, assure maximum accuracy and get high-quality data.

• Efficiency

  Data collection can be time-consuming but with the help of Data Extraction Tools you can speed up the whole process. These tools use RPA (Robotic Process Automation), ML (Machine Learning) and AI (Artificial Intelligence) to identify and collect data. So, congratulations you just saved your time and resources.

Now, that's one perfect blend, right? That was all about the past and present of Data Extracting Tools, it's time to figure out what's brewing in the future.
 

The Future Of Data Management Is Now Your Cup Of Coffee!

 
The mug-nificient future of Data Extraction Tools is overflowing with trends.

The future of data extraction is ubiquitous which will involve real-time extraction of data from mobile devices to get information about individuals. Besides, the use of multimedia is already on the rise and will soon popularize multi-media data extraction. It will attract comprehensive methods of extracting valuable data from multimedia sources such as images, videos, audio and others.

Distributed data extraction will become more popular which will help organizations to extract data from the databases stored in different locations. Data Extraction Tools will use sophisticated algorithms to provide insightful patterns for distributed data extraction. It’s no secret that cloud storage is excessively used for social media platforms, apps and internet-connected devices. Cloud extraction will open gates for extracting and storing vast amount of personal information.
 

The Instant Wrap Up!

   
Alrighty! It's time to kettle down.

Given the fast-paced era, we live in, it's impossible for organizations to keep track of data manually. Just like we cannot imagine ourselves going through the long process of making coffee on our own, organizations cannot track and collect every data point available to them. To help them with this task Data Extraction Tools are the best bet to store, manage, analyze and leverage business data.