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Should You Move Your Data Analytics to the Cloud?

Datavail

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Organization-Wide Analytics.

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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). Media and Advertising sessions.

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The rise of the data lakehouse: A new era of data value

CIO

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights.

Data 210
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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Temporal data and time-series analytics". Case studies. More recently, companies have started to expand toward platforms that can support growing teams of data scientists.

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Data Analytics in Healthcare: 7 Real-World Examples and Use Cases

Altexsoft

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics.

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When Ralph Kimball Speaks People Listen: Hear what the father of the data warehouse has to say about Apache Hadoop

CTOvision

Chapter 21: Big Data Analytics. It provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies. Prior to Cloudera, he delivered enterprise search, business intelligence, and data discovery products at Endeca and Oracle.

Data 107
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How Data Integration Can Help Transform Tech Operations?

The Crazy Programmer

Besides they accompany BI which helps the businesses to make better decisions. Improved data quality: The data integration tools normalise data, and make it easy to understand and prepare for BI (business intelligence). Resource saving: In data integration, initial investment can affect the cost of ownership.

Data 100