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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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8 Data Ingestion Tools (Quick Reference Guide)

Monte Carlo

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Finnhub API with Kafka for Real-Time Financial Market Data Pipeline Project Overview: The goal of this project is to construct a streaming data pipeline by making use of the real-time financial market data API provided by Finnhub. Master data processing methods. Acquire the skill of scheduling your workflows.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Key features: Easy data integration provides pre-built connectors to over 150+ data sources near real-time data synchronization AWS Data Engineering Tools In the era of big data, cloud-based data engineer tools have become increasingly popular due to their ease of use, scalability, and cost-effectiveness.

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Cloudera Data Platform extends Hybrid Cloud vision support by supporting Google Cloud

Cloudera

The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. Data Preparation (Apache Spark and Apache Hive) .

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When To Use Internal vs. External Stages in Snowflake

phData: Data Engineering

Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

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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.