Advantages of cloud-based data lake management

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A systematic data lake-based approach is needed to quickly deliver more value from big data without increasing risk.
According to BusinessWire, 90% of companies agree that in order to be successful, they must base their decisions on data. With this, they seek to improve profitability, discover new opportunities, detect potential problems, accelerate innovation and improve their customers' experiences. This is why there is a growing need for quick access to reliable data.

How to achieve it?

Gaining fast access to critical data is not a trivial matter. There are many challenges that must be overcome. The volume of data is growing ever larger and ever more variable, making the challenge grow exponentially. As companies increase the pace of their business and the amount of data coming from the Internet of Things increases, they are faced with new challenges in capturing and processing big data in real time.

From an IT perspective, the more complex the data, the greater the risk that it will be incomplete, inconsistent, inaccurate, insecure, and incompatible with internal controls and external regulations. This, in turn, hampers business. Without fast, flexible, and systematic approaches to data management, organizations risk compromising the speed at ig database they deliver data, as well as the quality of that data. And ultimately, because of the real risk of data security breaches , the organization’s credibility will be at stake.

To minimize risks and maximize the benefits of data, a systematic approach based on data lakes is ideal to quickly bring more value to big data without increasing risk.

Data Lake: Overcoming the Limitations of Data Warehouse
4 Key Benefits of a Cloud Data Lake
1- Cloud ready from day one
Popular data management products, such as those from Informatica, are certified to run not only on all popular on-premises Hadoop distributions, but also for off-premises deployment.

With out-of-the-box connectivity to cloud databases , cloud warehouses, and cloud applications, you can transform virtually any information into trusted data assets anywhere.



2- Faster and easier integration of data sources
Data management specialists maximize the value of their Hadoop investments the more data they can integrate. For example, a library with hundreds of pre-built connectors, simplified stream processing on top of both open source and proprietary engines, and out-of-the-box connectivity to databases, warehouses, and applications all make it possible to integrate almost any data, anywhere.