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DATA TRANSFORMATION: GUIDANCE

DATA TRANSFORMATION

INTRODUCTION TO THE DATA TRANSFORMATION

In the field of computing, the concept such as data transformation tends to play a vital role. However, the given transformation is mainly useful for the researchers that are planning to make an analysis of the collected data. In this regard, it is examined that in order to interpret the result of the collected data, the researcher has to transform the data in some specific format which is readable to his/her system or the software. If it is not done then in this situation a researcher is not able to attain its goals and objectives in an effectual way.

Thus, it can be said that data transformation is being regarded as the systematic process of converting the data from one format to another. It is being regarded as one of the most fundamental aspects of the concept such as data integration. Data integration is the process of combining the data that are being resided in the different sources and it will also provide the user with the unified view of the data in an effectual way.

On the other hand, it can also be said that there is a different type of activities are involved in the concept such as data transformation. It comprises converting the types of data, to perform the cleaning of the data by removing different duplicate and the null data, to enrich the data and to carry out the aggregations, etc. Besides this, there are some benefits are also associated with the data transformation. However, discussion about the same is carried out later. Experts from Assignment Help will now tell you about the processes of data transformation.

DATA TRANSFORMATION PROCESS

In order to get more details about the concept such as data transformation, it is very much important for the individual that it should have a thorough understanding about the process which is being used for data transformation. The details about the same are depicted below:

  • Data discovery: The process of the data transformation begins with the discovery of data. In accordance with the given context, it can be said that in the respective phase mainly profiling of the data is performed. However, with an aim to do the same assistance is being taken from different profiling tools in an effectual way. Among all, basically, the written profiling script is being used in this. This is used with an aim to get a better idea about the characteristics and structure of data.  
  • Data mapping: In the second step, it is being defined that how different individual field can be mapped, joined, modified, aggregated and fitted together. This is done with an aim to perform the production of the final desired output. The mapping of data is being done by the developer from the time when they start working on the specific type of technology.
  • Code generation: It is being regarded as the third step of data transformation. Herein, different executable code is being generated that will help in the process of transforming the data as per the desired data mapping rules. Typically, different data transformation technologies are used here in order to generate the code.
  • Code execution: In the respective step, the code which is generated above is sent for the execution purpose. The codes which are executed are being integrated into the transformation tool.  
  • Data review: It is the final step in which programmer or the analyst will get the idea that whether the output of the data is fulfilling all the requirements of data transformation or not.  

TYPE

Till now we have gathered much more information about the data transformation. Now we will discuss more the different types of data transformation. In this context, the details about the same are given below:

The data transformations are of two types such as batch data transformation and the interactive data transformation.

Batch data transformation

Traditionally, the activity of the data transformation is being performed in the bulk or in the batch. In this regard, in the respective form of data transformation, the developers used to write the code and they also used to perform the implementation of different transformation rules in the data integration tools in an effectual way. After doing the same, they perform the execution of the generated code on the large volume of the data. The respective process tends to follow the linear set of steps. In other words, it can also be depicted that batch data transformation is being regarded as the cornerstone of different type of data integration technologies that comprise of data warehousing, application integration, and the data migration.

Interactive transformation

It is being regarded as another type of data transformation. It is the type of emerging capability that tends to allow business users and analyst to perform direct interaction with the large dataset with the help of the visual interface. Here, the features of data are understood and data is also corrected with the use of simple interactions. However, it can be said that the respective type of data transformation also follows a similar type of data integration step which is being followed by the batch data transformation. But, in interactive data transformation, it is not necessary to comply with the linear fashion which is done in batch data transformation in an effectual manner.  This infographic by an expert from Programming Assignment Help will tell you more about Data Transformation.

Data Transformation
Data Transformation

REASON FOR TRANSFORMING THE DATA

There are some major reasons examined which lead to the activity such as data transformation.

  • The need tends to arises when an individual will move the data to the new data store. For instance, when a person will move the data to the cloud data warehouse than in this situation it needs to change the type of data.
  • When data is being moved on to another system or the software.
  • This is also performed when unstructured data is being joined with the structured data. This is done with an aim to perform the data analysis.
  • It will also need to perform when an individual wants to add the information to data in order to enrich the same. This involves performing the addition of geolocation data and performing lookups etc.
  • The data transformation will also need to perform when aggregation needs to be performed which involves performing the comparison of sales data from the varied regions. Therefore it can be said that they are being regarded as the main reason behind the data transformation.

BENEFITS

Now discussion will be carried out on the main benefits that are associated with the concept of data transformation. The detail explanations about the same are given below:

  • Higher data quality: It is being regarded as a very first benefit that is related to data transformation. This happens because here an individual will tends to convert its data in a high-quality format.
  • It also helps in reducing the number of mistakes: While writing the data, an individual sometimes do various types of mistakes such as duplication of data and missing values, etc. thus, with the help of data transformation such mistakes can be detected and significant actions can be taken with an aim to resolve the same.
  • It also assists in the task of making the query time much faster and it also enhances the retrieval time also.
  • In this very minimal resources are needed for the purpose to perform the manipulation of the data in an effectual way.
  • It also helps in the task of performing better and the effective organization of the data.
  • The data here are more usable in a case like business intelligence. Thus, these are some major benefits that are related to the concept such as data transformation in an effectual way.

WAYS TO TRANSFORM THE DATA

There are three major ways with the help of which the data can be transformed. These are:

  • Scripting: One of a way to transform data is scripting. There are many companies that tend to perform the data transformation with the help of scripting. However, for the given purpose they tend to use means like SQL and Python. These techniques are used to write the code and perform the extraction of data. It is through this way only data transformation is done.   
  • On-premise ETL tools: Here, ETL (Extract, Transform and Load) tools are being used in order to take much of the pain out of scripting the transformation. The given tools are majorly hosted from the site of the company. On the other hand, they require infrastructure cost as well as extensive expertise.
  • Cloud-based ETL tools: The respective tools are being hosted on the cloud, this will allow an individual to leverage infrastructure as well as expertise of the vendor in an effectual way. Hence, these are some main ways with the help of data transformation is being performed by the individual. It is through this way the only individual can convert data as per his/her desire.  

CHALLENGES ASSOCIATED WITH THE DATA TRANSFORMATION

There are different types of challenges are related to the concept such as data transformation.

  • It is very much time-consuming in nature: The very first challenge that an individual will encounter from the data transformation is time-consuming. Here, before starting the data transformation the programmer will have to clean extensive data. It needs to assure here that no other data should remain during the data transformation process in an effectual way. The given thing is very much time-consuming in nature. On the other hand, it is being regarded as one of the most common complaints that always comes from the side of a data scientist in an effectual manner.
  • It is very costly in nature: The second most significant challenge that is related to data transformation is that it is very much costly in nature. Here, it almost depends on the infrastructure. On the other hand, the process to transform the data requires highly specialized and skilled people. This is because; in order to do the data transformation work an individual should be good technical knowledge. Further, it also involves infrastructure costs also. It raises the overall time of doing the respective function
  • It is very slow: The activity such as data transformation as well as data extraction puts very much burden on the system of the computer. Thus, it is due to the presence of a given aspect it is often performed in the batches. This means that a programmer will need to wait for 24 hours with an aim to see the processing of its next batch. The given thing will cost the firm in time in the process of make the business decision. Overall, it is very correct to say that by taking significant actions in relation to these challenges the whole activity of data transformation can be made much easier and effective.       

USEFULNESS OF ALGOMA

Alooma is basically the cloud-based ETL solution that assists in easing the difficulties that are related to the data transformation. Herein, it can be said that Alooma has a very important role in data transformation. However, all the details about the same are explained below:

  • Support: The very first thing that Alooma performs is to give support to the whole process of data transformation. In this context, it can be depicted that Alooma possesses the team of expert individuals that assist individuals in the task of expediting the whole process of the data transformation. It involves the process of planning the data mapping to the transformation of data. Finally, in the end, the results are verified.
  • Cost-effective; It is cost-effective in nature because here an individual can leverage Alooma’s expert. This is due to the reason that the respective software is cloud-based. Hence, by using Alooma firm can avoid the maintenance of infrastructure as well as it can also avoid the payment to the team of experts. Thus, the money which is being saved from the given purpose can be used for some other effective purposes in an effectual way.
  • Fast: It has been examined that the software such as Alooma can transform, load and extract the data in real-time. Thus, an individual will have enough time in making a decision about the company. However, it is also assessed that Alooma is also very much flexible in nature. It is the reason why it tends to make the whole activity of data transformation very much easier.

Secure: Alooma assists in removing sensitive information before performing the process. Hence, the respective software is very much useful. Thus, it is very right to say that Alooma is very much useful software for the transformation of the data. For more information related to assignment and other topics, you can also check with Assignment Help Canada.

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