Selecting the Right Data Integration Tool Requires Diligence
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| Data Integration platforms |
It is well known that aggregating data from different
platforms to your data warehouse in the cloud for further reporting or
analyzing is not as difficult as it was imagined earlier. Data integration platforms have been designed by many developers to
offer individuals and companies the data
integration tools they need to transition all their business data to the
cloud. However, users need to conduct some diligence before they zero in on any
data integration platform because they should be attempting not to disrupt the
objective of integrating the data on a single platform to have a unified view
of all their data from a single interface.
Users looking for data integration platforms must understand
that the process of combining data from different sources will not happen by
itself and therefore they will need to use data integration tools that are
designed for this purpose. The tools should include functionality aimed at
cleansing, transforming and mapping the data along with monitoring the flow of
the integration.
Data integration is critical for a larger data analytics
strategy regardless of whether the data is coming from local software-based
batch sources or web-based streaming sources.
Organizations can have on-premise or open-source data
integration tools according to their needs. Cloud-based data integration tools
are also available now for use by people that no longer want to have all their
data on local systems. Therefore users of all types will be required to select
the right type of data integration tool suited for their requirements.
How can users select the right data integration tool for
their requirements? There is a long list of requirements that users will be
required to consider. We are only considering the most important that most
users will have to take into account the most important that most users will
need to consider. It is important for everyone to understand that with data
integration tools they do not have the flexibility of believing that one size
will fit all and therefore will have to make a proper choice considering their
individual requirements.
Users need to consider the size of the enterprise before
selecting any data integration tool for themselves. It must be understood that
data needs can grow along with the complexity of the data integration strategy.
More streams of web-based data sources are being created every day and
therefore selecting a tool or service that can accommodate the expansion of any
data within their sources should be available.
The objective of selecting a data integration platform
should not be to look for additional storage. Users will be needing a solution
that will help them to connect to various new streaming and web-based data sources.
Quite a few legacies and on-premise tools for handling streaming data sources
or do not manage the same optimally.
The use case of data integration must also be considered. It
is possible that a fully on-premise solution may be the appropriate choice for
some users that may not require data plans to move to the cloud. There are as
well open-source approaches that are available but it is advised that care
should be taken before attempting these methods to ensure users have the
expertise needed as well as the resources in-house. Most importantly the
question of security and compliance must also be considered to make sure that
the solution has the expertise and resources to keep you covered when the
matter relates to security, privacy, and compliance.
Users that are looking for a suitable platform to cover all
the above will find quite a few data integration platforms and tools available
to them from different providers that could be offering low prices or making
offers of different types. However if they intend to comply with the
requirements stated above it is suggested that users opt for the data
integration tool developed by Rivery because this is the only enterprise data
integration tool that apart from giving users the ability to aggregate the data
from any platform also offers them a wide range of cloud storage platforms they
can use if they find it necessary.
While selecting any data integration tool for the job, here is a list of questions you should as yourself:
ReplyDeleteWho will be involved in the process?
What data systems require integration?
When will the data integration occur? (ETL or ELT)
Where is the data warehouse created? (On-premise or on cloud)
Why is the data integration process being done?
How to carry out the process?
This involves defining the data integration strategy and framework to be used.