12 Jan

Data Integration Journey to the cloud.

In the recent years it has been observed that the public cloud business is picking up and gaining popularity. Public platforms like Amazon AWS, Microsoft Azure and Google are growing at an increasing rate. It has been noted that the evolution from private to public cloud will take some time and will be done on a slow pace. But the question arises how fast your organization speeds up its journey to the public cloud?

Moving to the cloud should be swift or slow?

 

Many organizations are already operating a majority of their business from the cloud. But not every organization has made up its mind about moving to the cloud that quickly. For large organizations there is a huge complexity involving moving the business operations to the cloud overnight. They need a public cloud strategy if they are thinking about the move. Public cloud strategy for every organization depends upon certain factors like scope and size of your data along with understanding what your ultimate goals are? Your strategy can be to

 

  • Utilize the current on- premises set up and move to the cloud if you decide to add on any new applications.
  • If there are no on – premises applications available that have the functionality of the cloud you need to buy new applications on the cloud.
  • Instate a “cloud only” policy where all the business operations are installed on the cloud.
  • Install a “cloud first” policy where all the operations are working solely on the cloud and deviations will be made if you can justify these fluctuations.
  • Or a combination of all of the above

Once you are ready with your cloud strategy you need to realize the amount of data management challenges you might face. Every organization works on their own pace comprising the different ways they are implementing it and at a different speed.

 

To read about Determining the Future of Database Performance Monitoring: To the Cloud and Beyond

 

 

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Data Integration in the Modern Hybrid World

 

Even though your organization is ready to adopt the hybrid environment you might still be stuck between on-premise and different cloud options for your applications. If you are planning to integrate your data and have a data management strategy here are some scenarios that you might have to deal with:

  • For those organizations that have a history of on-premise applications and data, the journey to the public cloud is going to be a long process of change.
  • Cloud applications will continue to grow rapidly and expand. You will have to have data synched and managed with other applications whether they are on-premise or in the cloud.
  • Many organizations might hike their spending on public platform vendors and use multiple platforms if their requirements are not fulfilled.
  • There will be a continuous growth in cloud analytics from cloud data warehouses, such as Azure SQL Data Warehouse, AWS Redshift, and Snowflake who have machine learning/deep learning, predictive, and AI analytics capabilities.

 

You can also take a look at What are Managed Services, and Why Should You Care?

 

 

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If you think that data management was a tedious task before let me remind you that this task will be much complicated in the future as the number of cloud platforms and applications have increased. This means that the organization needs to prepare itself right now with the possibility that the scenario might be completely different in the future.

Since every organization is constantly looking to gain competitive advantage over their competitors and are aiming to compete with the help of their data. In today’s technology environment organizations data need to be shared and made to be available for all to be utilized whether it was internally or externally secured. The exhausting challenge for every organization is to build database management system that will enable them to manage the transition to the cloud along with maintaining the delivery of trusted data.

 

Data Management for the long term cloud journey

 

Some of the concerns that relate to final data management are listed below:

  • It will beneficial for the organization to have a mature data management architecture in place to help them to migrate to the cloud and keep on-premise and cloud applications synched with the most current and trustworthy data.
  • Another beneficial factor is having data governance in place. There is no point in moving around bad-quality data that nobody can trust. And the longer you take, the harder it will be to retrofit this in a complex environment.
  • The main focus of your architects should be your data as you make the journey to the cloud.

 

 

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There is no denial in the existence of public cloud in the tech environment. The Organizations, which are capable of harnessing the data for driving high productivity along with the better customer interactions and business outcomes, will be those who not just take the time to think about the data-first but also, defines a clear and strong data management architecture, which is effective in present age during the transition to cloud and, in their desired future state too.

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