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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Fundamentals of Data Engineering

Xebia

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

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150+ live online training courses opened for April and May

O'Reilly Media - Ideas

Introduction to Google Cloud Platform , June 3-4. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 48
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Free Cloud Courses at Linux Academy — July 2019

Linux Academy

Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud?

Linux 60
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New live online training courses

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 68
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120+ live online training courses opened for January and February

O'Reilly Media - Ideas

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. Programming with Java Lambdas and Streams , January 22. Developing Incremental Architecture , February 11-12.

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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 50