Remove 2020 Remove Data Preparation Remove Hadoop Remove Portfolio
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Understanding the Power of Hadoop-as-a-Service

ProjectPro

Big data industry has made Hadoop as the cornerstone technology for large scale data processing but deploying and maintaining Hadoop clusters is not a cakewalk. The challenges in maintaining a well-run Hadoop environment has led to the growth of Hadoop-as-a-Service (HDaaS) market. from 2014-2019.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This role is gradually picking up the pace of popularity and is on the verge of beating Data Scientist as the sexiest job of the 21st century. According to a Dice Tech Job Report - 2020 , it’s happening, i.e., the demand for Data Engineering roles is boosting up.

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How to Become a Big Data Engineer in 2023

ProjectPro

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer?

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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools. It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job. Apache Zeppelin provides built-in Apache Spark integration.

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Build and Deploy ML Models with Amazon Sagemaker

ProjectPro

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. Time-saving: SageMaker automates many of the tasks, by creating a pipeline starting from data preparation and ML model training, which saves time and resources.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.