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Building Modern Data Platform with Apache Hadoop (Data Lakes)

Building Modern Data Platform with Apache Hadoop (Data Lakes)

~ Gaurav Gandhi

Organizations are collecting and analyzing large amount of data from disparate data sources using enterprise data warehouses and analytics tools making it difficult to manage the storage, processing, and analytics at scale. Apache Hadoop provides an ideal storage solution for Enterprise Data Lakes either on-premise or on-cloud that is scalable enough to manage petabytes of data. The data platform provides multitudes of integration capabilities with traditional database systems, analytics tools as well as in-house query engines with business reporting to facilitate extract, transform, and load processes.

Datamatics helps in future-proofing Data Lake implementation strategy using a standardized storage solution. It evolves with the organization’s business needs and requirements by ingesting and storing the organizational data assets on a scalable platform, which is well integrated with a variety of data processing tools. Additionally, the organization can also perform analytics using Data Lake assets to quickly explore new methods and tools and then scale the Data Lake in to production environment. Data Lake built on Hadoop platform helps to grow the business around existing and new data assets, and use them to quickly and easily derive business insights without limitations.

https://www.datamatics.com/sites/default/files/wp-download/Building-Modern-Data-Platform-with-Apache-Hadoop.pdf

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