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What does an ETL Consultant Do?  

ETL development is one of the areas of work in the IT field.  This specialist is involved in data warehouse management: he is responsible for the consolidation, federalization, and exchange of data.

For help in this area, you can turn to ETL consultants Diceus.  Now let’s take a closer look at everything.

ETL developer in action

ETL development includes the following processes:

  1. You need to extract data from external sources.
  2. Transform this data according to the existing business model.
  3. Load the converted data into your own data store.

At first glance, it may seem that an ETL developer is a very simple profession since it does not involve many responsibilities.  But this is not at all the case.  In fact, a lot of “pitfalls” accompany this specialty.  For instance:

  1. Data sources are often very versatile data warehouse systems with different data formats. This entails knowing the various procedures for extracting this data.  Sometimes it happens that within one information system, data is retrieved in different ways.
  2. Data from different sources and different formats should be brought into a single form, which is regulated by its own business rules, the unity of the applied coding systems, used classifiers, and reference books.
  3. When extracting and transforming data, you always need to take into account the specifics of the company where the ETL developer works, this often adds additional complexity to an already difficult job.

ETL development in action

That is, it is already clear that an ETL developer in practice finds, collects, extracts transforms some data from various sources, and adapts it to the needs of the company where he works.

Here are some examples of where an ETL developer can work:

  1. Cloud storage. In this case, the ETL developer works with cloud storage, which makes the storage process cheaper and makes it easy to scale and protect the cloud product.  Often this process is tied to some application.
  2. Databases. Working with conventional databases, where the ETL developer is the one who is responsible for moving the data to the repositories.
  3. Machine learning. Machine learning often involves working with large amounts of data.  ETL is used to migrate data from different sources into a single repository, which is used for machine learning.
  4. Marketing data. Large companies often need to conduct market research, and therefore they need to move data from different sources into one warehouse: web analytics, social networks, customer data, sales data, etc.
  5. Data from the IoT. If the IoT system has a lot of sensors that collect data, then often for their analysis, such data is collected in one place.  This “collection” of data is the responsibility of the ETL developer.
  6. Synchronization of data. For example, data from regular databases is copied to cloud storage.  When updating data in conventional storage, it must be updated in the cloud as well.  An ETL developer can also be responsible for this synchronization process.
  7. Business analytics. Often the top management of large companies needs to analyze the performance of their own business.  In large business organizations, there are many sources of such data.  ETL development is responsible for collecting information in one place from diverse areas of business.

 ETL System Tool

ETL development involves knowing and working with popular ETL system tools.  The most common ETL developer tools are:

  1. Cloud BigData.
  2. IBM InfoSphere.
  3. Power Center.
  4. MicrosoftSQLServer.
  5. Open Text.
  6. OracleGoldenGate.
  7. PervasiveDataIntegrator.
  8. PitneyBowes.
  9. SAPBusinessObjects.
  10. Sybase.
  11. Etc.

There are a lot of professional ETL specialist tools.  Therefore, if ETL development is what attracts you, then you need to carefully study this technical part.  Often, when an ETL developer is required in a company, specific requirements for his experience and understanding are already applied to him.  Therefore, if you are at the start and are only looking towards working with big data, then it makes sense to check for vacancies and fresh requirements for this specialty.  Then you will have the opportunity to learn exactly those tools, knowledge of which is often required.

If you need help with ETL, you just need to contact the appropriate specialists such as  and get a cool result.

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