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

Cloudera

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . Google Cloud Storage buckets – in the same subregion as your subnets .

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Streamline RAG with New Document Preprocessing Features

Snowflake

Preparing documents for a RAG system The responses of an LLM in a RAG app are only as good as the data available to it, which is why proper data preparation is fundamental to building a high-performing RAG system. Amazon S3) without copying the original file into Snowflake.

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Top 10 Data Science Websites to learn More

Knowledge Hut

A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

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Data Lake vs. Data Warehouse: Differences and Similarities

U-Next

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google .

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow. There are three stages in this real-world data engineering project.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

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