Data Processing

We support data processing and data manipulation tasks on LARGE dataset (Above 10M+). We focus on providing data support mainly on the following areas, Content Extraction, Data Cleasing and Organization and Data Formatting. And we can do even more...
When the number of data rows above 1M+, EXCEL or traditional ways of processing data may not work effectively and efficiently.

Content Extraction

  • Web Data. Extract interested content from any websites and results will be formatted as well. For example, given this page Marina Bay Sands Singapore hotel on Tripadvisor, you may quite interested in user reviews and ratings, hotel rankings, hotel location information. With these data, you could do some text analysis like sentiment classifications on user reviews, Or conduct some network analysis on user relationship. For more examples, please see our data samples at: Web Crawling
  • Textual Data. For a bulk of textual files in any formats, you may only interest in some sepcific content like date, price, company name, email address and so on. In this case, we can help to clean and format them and finally extract those content for you.
  • EXCEL Data. Data in EXCEL files can be extracted by Excel itself as well. However, it is not sometimes as simple as a VLookup function or Pivot Table can achieve. It could be very complicated for a unprofessional person as you may face many situations especially when your worksheet is BIG.
  • PDF Data. PDF is always the nightmare for content extraction. For example, you have a bunch of financial reports, and you are quite interested in those numbers like stock or budget. Instead of doing it manually, please let us have a try to do it automatically.
    We won't have 100% guarantee this can be done since the content of PDF may be various, e.g., an encrypted image.

Data Cleasing and Organization

Data Cleansing is the process of altering data in a given storage resource to make sure that it is accurate and correct. Here, we are able to help remove redundant data and lower data dependencies by our carefully designed algorithms. Data Organization process will help re-organize data based on Entity-relation model which is most commonly used model for modern relational database and export to whatever formats you requested.

Data Formatting

Data Formatting helps format the whole dataset or some numbers as requested. For example, round or keep double precision for certain numbers, strip or replace some words with others, convert csv format to XML format.