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Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Data Engineering Podcast

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Data Lake 100
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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

That meant a system that was sufficiently nimble and powerful to execute fast SQL queries on raw data, essentially performing any needed transformations as part of the query step, and not as part of a complex data pipeline. A common implementation would have large batch jobs in Hadoop complemented by an update stream stored in Apache Kafka.

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Maintaining Your Data Lake At Scale With Spark

Data Engineering Podcast

The Lambda architecture was popular in the early days of Hadoop but seems to have fallen out of favor. The Lambda architecture was popular in the early days of Hadoop but seems to have fallen out of favor. How does this unified interface resolve the shortcomings and complexities of that approach?

Data Lake 100
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Handling Bursty Traffic in Real-Time Analytics Applications

Rockset

However, these databases tend to sacrifice support for complex SQL queries at any scale. This query optimization is something that all SQL databases excel at and do automatically. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge.

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Apache Spark Use Cases & Applications

Knowledge Hut

It is also friendly for database developers as it provides Spark SQL which supports most of the ANSI SQL functionality. Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk. Spark streaming also supports Structure Streaming.

Scala 52
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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

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12 Big Data Project Topics with Source Code 2023

Knowledge Hut

The article will also discuss some big data projects using Hadoop and big data projects using Spark. This project is a Lambda Architecture program that tracks Chicago's streets' traffic conditions, including congestion and safety. If you are familiar with SQL, you should have no trouble completing this project.