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The top 15 big data and data analytics certifications

CIO Business Intelligence

CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP. Candidates should have experience in machine learning and predictive modeling techniques and their application to big, distributed, and in-memory data sets.

Big Data 124
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Snowflake and Domino: Better Together

Domino Data Lab

Data Science works best with a high degree of data granularity when the data offers the closest possible representation of what happened during actual events – as in financial transactions, medical consultations or marketing campaign results. Writing data from Domino into Snowflake.

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Of Muffins and Machine Learning Models

Cloudera

This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role. Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. This might require making batch and individual predictions.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. Increasingly, the term “data engineering” is synonymous with the practice of creating data pipelines, usually by hand.

IoT 20
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DataRobot and Snowflake Healthcare Campaign

DataRobot

As health and care delivery converges, analytical staff will be required to work across more boundaries with larger volumes of data than ever before. . ICSs can reduce the time taken to build population health registries and predictive models by up to 90 percent. Grasping the digital opportunity.