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3 Data wrangling tools

The process of translating raw data into more usable representations is known as data wrangling. It will be called a requirement for good data analysis and also consists of unique processes. There are many data-wrangling tools. Some of them are listed below:

  1. Talend

This is one of the good data wrangling tools for data wrangling, data preparation, and data cleaning. It’s a browser-based platform with a simple point-and-click interface that will be an ideal business. This simplifies the data manipulation far more than it would with a heavy code-based program. It is also feasible to code from scratch using the built-in Extract, Transform, and Load capabilities. Talend’s functionality will include the ability to apply rules to many datasets, save them and share them all over the team. It also has built-in processes for tasks like enrichment and integration as the ability to integrate with the range of different enterprise systems.

The disadvantages of Talend are:

  • Talend has one flaw, its machine-learning functionality. It’s not always to par. As the Fuzzy matching will suffer the result.
  • Since it has such capability, it will use a lot of memory and can be a little buggy at times.

The important features of Talend are

  • Integration- Talend will highlight enterprises to manage any data type from many types of data sources in cloud premises.
  • Data quality- Talend will automatically purify ingested data using the machine learning capabilities such as Data duplication, validation, and standardization.
  • Flexible- When creating data pipelines from our connected data, Talend will go beyond the platform. Talend is to run data pipelines anywhere once created from ingested data.
  1. Alteryx APA

The Alteryx APA platform will be the best Data wrangling tool, which is not only providing tools for data wrangling and also more for general data analytics and data science needs if we want everything in one place which is a deal. Alteryx has 100 data-wrangling tools that cover everything from data profiling to find and replace to fuzzy matching. The notable advantages are more sources and support all without sacrificing speed. Data will be extracted from almost any spreadsheet or file as a platform like a salesforce. Alteryx also processes various Data sources far more quickly than the MS-excel that is tending to slow down when dealing with other data-wrangling tools like a tableau.

Disadvantages are:

  • The alteryx drag-and-drop interface will make many things harder because each stage of the procedure will be included in the visual workflow. This interface will be often dated, which is unfortunate as it will not reflect the platform’s potential.
  • The price is by far the most significant stumbling block. It features costly license-based pricing which means that each user will pay the charge.

The main features are:

  • It is used to collaborate and discover- Users will search any data asset and cooperate with the users not only to create new analytics tools and to utilize the models that are created by others to avoid having to reinvent the wheel.
  • Prepare, Analyze, and model- These are three steps. Users will prepare their data and create more effective models which will be utilized and reused for different datasets.
  • Sharing social /community experience- Alteryx will enhance users to share information.
  1. Altair Monarch

Another data wrangling tool is Altair Monarch which converts complex unstructured data into readable format. It can extract data from any source of PDFs and text-based reports that could be challenging and unstructured forms.

The drawbacks of this tool are:

  • Altair Monarch is the simplest data-wrangling tool but it has grown in capabilities. It is wonderful that if we have intricate criteria it makes the product less user-friendly.
  • As larger datasets, the extra functionality can make it a little sluggish, and PDF import tools will be reliable.

The main features are:

  • Integrations- It will pull data from flat files, relational databases, web inputs, and data models with data integrations.
  • Importing PDF- The PDF engine will allow us to choose and alter tables from text-heavy PDF files before exporting them to the data prep studio.

Questions

  1. What does Talend explain?
  2. Explain the features of Alteryx APA.
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