Remove Amazon Web Services Remove Cloud Storage Remove Data Ingestion Remove Unstructured Data
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Most important Data Engineering Concepts and Tools for Data Scientists

DareData

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

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What is a Data Platform? And How to Build An Awesome One

Monte Carlo

We’ll cover: What is a data platform? Recently, there’s been a lot of discussion around whether to go with open source or closed source solutions (the dialogue between Snowflake and Databricks’ marketing teams really brings this to light) when it comes to building your data platform.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

They are also often expected to prepare their dataset by web scraping with the help of various APIs. Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Semi-structured Data: It is a combination of structured and unstructured data.