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How to get started with dbt

Christophe Blefari

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision. First let's understand why dbt exists. With the public clouds—e.g.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes.

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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive Architecture Apache Hive has a simple architecture with a Hive interface, and it uses HDFS for data storage. Data in Apache Hive can come from multiple servers and sources for effective and efficient processing in a distributed manner. It instead relies on other systems, such as Amazon S3, etc.

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Recap of Hadoop News for May

ProjectPro

They have created containers for data storage and analysis – which is an alternate to Hadoop distributed file system. MarketResearchStore.Com MarketResearchStore report anticipates the global demand for hadoop to reach $59 billion in 2012 from $4 billion in 2015 with a CAGR of 51%.The May 10, 2016. TheNewStack.io

Hadoop 40
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RocksDB Is Eating the Database World

Rockset

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

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Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

For data storage , it uses an object store cluster, running on VAST hardware. In this cluster, around 15 PB of raw data and 21 PB of logical data can be stored. More data can be fitted than there is raw storage available thanks to VAST’s data deduplication.

Cloud 192
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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

Features: Data can be read from any format and is compatible with many programming languages, including SQL. Data Pine Since 2012, Datapine has been providing analytics for business intelligence (Berlin, Germany). Data analytics tools in big data includes a variety of tools that can be used to enhance the data analysis process.