ETL Systems

The process of extracting data from source systems and bringing it into the data warehouse is commonly called ETL that stands for extraction, transformation, and loading.

You need to deliver the right data in the right format at the right timeframe to fuel great analytics and processes. Margasoft is here to design a specific data integration process for your business data.

The Process is Easy as One, Two, Three!

Extract

During this first phase, the data is extracted from source systems and converted into one consolidated data format for further processing. Nowadays data warehouse combines a wide variety of data sources, online and offline, from traditional relational databases, through omnipresent Excel spreadsheets up to the cloud and big data.

Transform

In the data transformation stage, data is converted to the proper format and structure to prepare it for loading into the end target. This step includes converting any measured data to the same dimension using the same units so that later they can be joined.

Load

Data loading takes place in the target database that may be an operational data store, data mart, data warehouse or a reporting application. Depending on the specific requirements and needs of your company, we either overwrite existing data with cumulative one or add the new data at regular intervals (on an hourly, daily, weekly, or monthly basis).

We Perform the Most Demanded Data Transformation Tasks, and many more.

  • Cleaning(properly mapping character sets, e.g., NULL to 0 or "Male" to "M" etc.)
  • Filtering(e.g., selecting only certain columns to load)
  • Deriving a new calculated value(e.g., sale_amount = qty * unit_price)
  • Sorting or ordering the data based on a list of columns to improve search performance
  • Aggregating(e.g., summarizing multiple rows of data - total sales for each store, etc.)
  • Splitting a column into multiple columns and vice versa
  • Joining together data from multiple sources(e.g., lookup, merge)
  • Transposing or pivoting(turning multiple columns into multiple rows or vice versa)
  • Applying any simple or complex data validation(e.g., if the first three columns in a row are empty then reject the row from processing)

We Allow Access to Consistent, Valid and Usable Data Faster

  • Parallel Processing

    Implementing parallel processing method when dealing with large volumes of data improves the overall performance and accelerates all the three critical functions of ETL. We design sequences of steps with conditional branching, manage rejected pathways, reporting and many more to make you agile in adopting changes.

  • Support of Big Data

    Margasoft technology fits the support processing of Big Data. We're also able to cooperate with other Big Data related technologies like Hadoop, Hive, and others.

  • Support of Standard Relational and Non-relational Databases

    We support loading into any database system from standard relational databases such as Microsoft SQL Server to free and open source PostgreSQL. Others include Oracle, Microsoft SQL Server, MySQL, Amazon Redshift, MongoDB, etc.

  • Managed Fail-Recovery of the ETL Process

    We ensure that your ETL experience is secured and appropriately managed in all data and process levels.

  • Reusability of Custom Data Operations

    With our user-friendly library of operations, you can reuse it for different data sets by implementing any configuration parameter changes you want.

Operating with the Largest ETL-utilizing Industries

Healthcare

Supporting business-critical systems in hospitals is a real challenge now. Our professionals get data out of source systems ensuring that the electronic health record (EHR) system is up and running, along with all the other technology devices that exist in every hospital room today. We make eligibility checks on each stage of the transformation to avoid any inconsistencies. We involve our testing and development teams as early as during the requirements gathering phase, enables us to define the high-level test approach and test case execution. Besides, our ETL team follows all the regulations, best practices, standards, and guidelines for the healthcare industry.

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Finance

To transform the right information at the right location, and available promptly to the right customer, a high-quality ETL service knowledge in the financial industry is essential. We manage effective data governance on a sustainable basis, and thereby, ensure the reliability and traceability of the data. Ground equity has an increasingly important role for companies, since not only banks pay particular attention to equity aspects, but also credit insurers, suppliers, leasing companies and credit information services. As your financial documentation goes between two sources, they should be matching, hence transformed before loading. Accordingly, we implement a plan of validation checks before transformation to find all the problems beforehand.

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Are your ETL requirements out of healthcare and financial sphere?