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Striim Cloud on AWS: Unify your data with a fully managed change data capture and data streaming service

Striim

When you run Striim on AWS, it lets you create real-time data pipelines for Redshift, S3, Kinesis, Databricks, Snowflake and RDS for enterprise workloads. It comes with pre-built data connectors that can automate your data movement from any source to AWS Redshift or S3 within a few minutes.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Explore this page further and learn everything about data engineers to find the answer. Furthermore, we will also lay out a learning path on how to become a data engineer that will help one explore this exciting domain. Good knowledge of various machine learning and deep learning algorithms will be a bonus.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances. They have customer information stored in Amazon Aurora.

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Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. We are talking about tableau vs power bi market share using features, interfaces and performance. Machine Learning Tableau supports Python machine learning features.

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Managing The DoorDash Data Platform

Data Engineering Podcast

In this episode the head of data platform for DoorDash, Sudhir Tonse, discusses the technologies that they are using, the approach that they take to adding new systems, and how they think about priorities for what to support for the whole company vs what to leave as a specialized concern for a single team.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection? Data engineering explained in 14 minutes.