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This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.
As critical data flows across an organization from various business applications, datasilos become a big issue. The datasilos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.
In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. Big Data’s promise of value in the financial services industry is particularly differentiating. This integration is even more important, but much more complex with Big Data.
Oracle What Oracle offers is a big data service that is a fully managed, automated cloud service that provides enterprise organizations with a cost-effective Hadoop environment. Snowflake Snowflake is a cross-cloud platform that looks to break down datasilos.
This article endeavors to alleviate those confusions. A data fabric can consist of multiple data warehouses, data lakes, IoT/Edge devices and transactional databases. All phases of the data-information lifecycle. The data fabric embraces all phases of the data-information-insight lifecycle.
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