5 key aspects to master Big Data management

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shukla7789
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5 key aspects to master Big Data management

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Discover why companies need, today more than ever, specific Big Data management tools to improve their processes.
Information is power, but only if we use it strategically. The millions of data generated every day would be useless without proper Big Data management. A recent survey shows that companies that have professionalized their information management highlight the possibility of measuring the return on their investment (80%), driving growth through analytics (75%) and implementing predictive skills (60%). How do they do it? Let's look at the step by step.


Working with Big Data technology involves adding specific tools to be able to manage all processes correctly. We are going to go over the five essential aspects to be able to manage it properly and maintain consistency in the results:

Knowledge of processes.
Modern technology.
The importance of quality.
Understanding architecture.
Squeeze the streaming .

From Bit... to Big Data: The term Big Data has twitter database very popular, but what is Big Data really?

1. Know the processes
If there is one thing to highlight about Big Data management, it is that it allows us to access a large volume of information, which is why it is so important for companies. Currently, business users can access all of this available business data and manage it on their own, from its original format. What is needed is that they perfectly know the processes for:

Gain precision and contextualize.
Avoid repetitions.
Optimize the resources at your disposal.
Today, many of these processes are carried out in the cloud, so business users will need to have developed cloud capabilities. Thus, in circumstances where they would normally resort to classic storage chains such as Data Warehouses or Data Marts, they will be able, if their mission requires it, to turn to a data lake or a repository in the cloud.

A Big Data Management tool simplifies the management of the complex modern data architecture, making it easier for the company's information to continue to be consumed in self-service mode, a practice that is becoming increasingly established among all actors.
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