With almost all industries and all sizes of enterprises now largely rely on data for their daily operations and business decision making; it is of great importance to ensure the quality of inflowing data. Data is critical for most industries like banking, retail, e-com, insurance, telecom, healthcare, space research, and more, and any errors in such data may lead to serious mishaps.
So, data cleansing and data scrubbing have become critical in terms of editing data and removing any incorrect, non-formatted, or incomplete data from the DB. The need is to go through zillions of data particles is a daunting task, which cannot be done manually. Data cleaning tools come into the picture and take center stage in the analytics-driven enterprises to automatically examine the data based on the set rules and algorithms.
This article will discuss some of the top data cleaning tools, which are widely used now to keep the data clean and let you analyze the data for informed decisions, both statistically and visually. Some of these tools come for free, whereas others may be priced minimally or offer a free trial before you want to go for premium options.
Top data cleaning tools for big data stores
1) Trifacta Wrangler
It is another venture by Data Wrangler, which puts forth an interactive tool for cleaning and transforming data based on customer needs. One of the best features of this tool is that it needs only less time to format the data and has a larger focus on data analysis. It will help the data analysts clean and prepare any messy or diverse data sets quickly and with high accuracy. The machine learning algorithms of Tfifacta Wrangler will also help in data preparation by providing a suggestion for common aggregations and transformations. This is a free tool, which you can use based on your enterprise needs.
2) OpenRefine
OpenRefine was previously known by the name of Google Refine, which is a powerful tool for handling messy data for cleansing and transformation. This is an ideal solution for those who are trying for an open-source, free tool for effective data transformation. OpenRefine can also transform given data from one format to another based on your priorities. This tool will help you explore any types and volumes of big data sets with a much easier and quicker approach. You can match and reconcile data and clean and transform it to any format you like at a faster pace. For more info check RemoteDBA expert.
3) Drake
This is another very simple to use and flexible tool, which functions well on any test-based data, with specific, well-defined processing steps along with the inputs and output. Drake can work effectively to resolve any dependencies and calculate the command for executing data-related processes and the order in which it has to be ideally executed. This tool is designed for all types of data workflow management and makes the data-centric command execution much easier around all its dependencies.
4) TIBCO Clarity
TIBCO is a data cleansing tool, which can offer on-demand services over the web. The providers deliver it as a Software-as-a-service. The tool will let the users validate huge volumes of data and facilitate deduplication and thorough cleansing. The tools also help identify the data-based trends to make better and smarter decisions based on the same. It can also standardize the raw data stores collected from various sources and give back good quality, sorted data for the most accurate analysis.
5) Winpure
Winpure is one of the top popular and easily affordable tools for data cleaning and sorting, which can also accomplish the same tasks for huge volumes of data. Winpure helps execute tasks like removing any data duplication, standardizing data, and correcting the same easily. It can be used to clean data from any type of databases, CRMs, text files, or spreadsheets. It can also be used for big databases like MS Access, SQL Server, Dbase, etc. Some notable features of Winpure, which makes it the favorite choice of all, include top-end data cleansing fuzzy matching, quick data scrubbing, and multi-language support, among others.
6) Data Ladder
If you are looking for an affordable data cleaning and data quality management tool, the Data Ladder can be an ideal choice to make. The providers’ product DataMatch is a very mighty data quality tool, and its higher version of DataMatch Enterprise includes advanced algorithms for fuzzy matching for up to 100 million records. Comparing with other such tools, DataMatch offers the highest matching accuracies and speed. Both basic and enterprise versions of DataMatch are highly user-friendly tools, which help the enterprises of any size or any industry to most effectively their data cleansing projects with ease.
7) Data Cleaner
Data Cleaner from Quadient is a very powerful data profiling tool that helps analyze data quality and drive better business decision-making. The tool will help find missing values and patterns in the given data store and look for the character sets and other prevailing characteristics in the datasets for better results. Data Cleaner is also a very strong engine for data profiling, which can effectively detect any data duplication with fuzzy logic and help maintain a single version of data. The users can also build their own custom cleansing rules on Data Cleaner and compose them into various scenarios by targeting different databases.
8) Reifier
With many features on offer like faster deployment, high accuracy, optimum run-time performance, etc., Nube Technologies’ Reifier utilizes Spark for the processes like distributed entity resolution, record linkage, and foolproof data deduplication. This tool works based on machine learning algorithms and offers top-notch entity resolution and fuzzy data, which match the best with the scale-out and distributed database architecture.
9) Cloudingo
Cloudingo is a data cleansing tool from Salesforce, which can help eliminate any data duplication. It will also help to clean the records and maintain data quality, all in one place. Cloudingo is suitable for all sizes and business industries where there is a need to update data in bulk. Cloudingo will ensure that the data updated in bulk from various sources and the files imported into the system are well cleansed before these go into Salesforce. Automation capabilities of Cloudingo will also ensure that the data is scanned regularly for errors. Some major features of Cloudingo are simplicity, the capability to delete any stale or unwanted records, record updating in bulk, automation on the given schedule, among others.
All these tools are designed by keeping the needs of big data in mind and flexibly adjusting to the developments happening in it. You may take a trial of all these using your test data sets to identify the effectiveness of various tools based on your requirements in hand and then choose the one best matching your needs.
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