May 11, 2024
3 minute read
On-premises data refers to data that is stored and managed within an organization's own infrastructure, rather than being stored in the cloud or on a third-party server. This type of data is often considered to be more secure and reliable than cloud-based data, as it is not subject to the same risks of data breaches or outages. On-premises data can be stored on a variety of devices, including servers, storage area networks (SANs), and network-attached storage (NAS) devices.
Benefits of On-premises Data
There are many benefits to storing data on-premises, including:
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Find a path to becoming a On-premises Data. Learn more at:
OpenCourser.com/topic/gt5mlp/on
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
On-premises Data.
Covers big data analytics which includes on-premises data. The author has received various awards, including awards from the INFORMS society.
Data science is discussed in this book with an emphasis on data-analytic thinking. The author well-known researcher in the field of data science.
Machine learning is covered in this book with a focus on using popular libraries such as Scikit-Learn, Keras, and TensorFlow. The author recognized expert in the field of machine learning.
Goes over data governance and its importance alongside on-premises data. The author recognized expert in the field of data management.
Goes over Apache Hadoop which is commonly used for working with on-premises data. It covers topics such as data storage, data processing, and data analysis.
An introduction to the topic of on-premises data management which includes writing schemas and performing table management. It also goes over data architecture for on-premises data and various tools.
Discusses Apache Spark which is widely used for data processing, including working with on-premises data. It goes over topics such as programming with Spark, streaming data, and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/gt5mlp/on