Blog: data lake

How to use Python with Hive to handle Big Data?
python

How to use Python with Hive to handle Big Data?

Over the past few years, we have been hearing more about the wealth of data we humans generate. This has progressively grown into the concept that if you have enough of this data and you are able to piece together some meaning from it, then you can achieve everything from predicting the future to curing all human ills.

Why do you need a Data Lake, and how AWS can help you with that?
aws

Why do you need a Data Lake, and how AWS can help you with that?

AWS provides the most comprehensive, secure, and cost-effective portfolio of services for every step of building a data lake and analytics architecture. These services include data migration, cloud infrastructure, management tools, analytics services, visualization tools, and machine learning. In this post we analyze the available solutions.

The Modern Strategy for Your Data: Introducing AWS Data Flywheel
aws

The Modern Strategy for Your Data: Introducing AWS Data Flywheel

New data-driven apps, data lake architectures, products, and services create more data that can be stored and managed in the cloud, which allows organizations to develop new capabilities and apps, gain new insights, and deliver new products. Presented strategy is a step-wise, repeatable process, which must be run project by project, like turning a flywheel, building momentum with each turn.