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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

IoT Architect. Learning about IoT or the Internet of Things can be significant if you want to learn one of the most popular IT skills. It is the technology that helps in transforming current technology in terms of communication and data sharing. Currently, the IoT architects are paid up to Rs20,00,000 per annum.

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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. integration) and preprocessing need to run at scale.

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160+ live online training courses opened for May and June

O'Reilly Media - Ideas

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Real-time Data Foundations: Kafka , June 11.

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Trends in Cloud Jobs In 2019

ParkMyCloud

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. IoT Engineer.

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What CEOs really need from today’s CIOs

CIO

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

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