- Data Lake – What Is It?
- Big Data Ecosystems
- Where Should You Host?
- How to Get the Best from Your Data Lake?
- Data Lake Storage Challenges
Most businesses have dozens of applications running to sustain their operations. Larger enterprises have even more complex setups. To make strong business decisions, data must be sourced from all running applications, then sorted, and evaluated to deliver the desired results. Over the years, companies have completely relied on data warehouses to this job. Until recently when the concept of a data lake came into picture.
In this article at Tech Target, Andy Hayler discusses the increasingly popularity of data lakes and the possibility of hosting data lakes in the cloud.
Data Lake – What Is It?
Big data ecosystems face the task of maintaining a high volume of data sources and types. Every operational system generates an enormous level of structured and semi-structured data. This can eventually pose technical and economic challenges for traditional databases. They were not designed to manage such workloads.
This is when Hadoop, an open source distributed processing framework with a built-in file system, offered an inexpensive solution—a data lake. With supporting technologies, Hadoop offered the setup of data lakes to store large volumes of raw data. Initial data lakes were hosted inside the corporate firewall. But, increasing data loads requires a much more efficient storage option. Just like other areas, cloud has stepped into the aid of data lakes.
Where Should You Host?
Hosting and managing a data lake in the local enterprise environment is a major challenge. Therefore, businesses are willing to shift from on-premise Hadoop clusters to cloud deployments. The most favorable vendors to offer the cloud services are AWS, Microsoft, and Google. With cloud, enterprises face less cost and trouble to manage additional data loads and hardware needs. However, they must monitor the security requirements.
How to Get the Best from Your Data Lake?
Once you decide to host your data lake in cloud, you must prepare a plan to use the data lake effectively. You must manage the classification, tagging, identification, and relativity of data regularly. Else, your data lake will be nothing more than a swamp.
To know more about the data lake storage challenges, visit the following link: https://searchdatamanagement.techtarget.com/tip/Should-you-host-your-data-lake-in-the-cloud?_ga=2.190775214.467291169.1590641969-339855528.1589978347