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

Cloudera

Customers who have chosen Google Cloud as their cloud platform can now use CDP Public Cloud to create secure governed data lakes in their own cloud accounts and deliver security, compliance and metadata management across multiple compute clusters. Data Preparation (Apache Spark and Apache Hive) .

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Cloudera Named a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems (DBMS)

Cloudera

Cloudera has long had the capabilities of a data lakehouse, if not the label. Cloudera enables an open data lakehouse architecture that combines all the flexibility of the data lake with the performance of the data warehouse, so enterprises can use all data — both structured and unstructured.

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How to become Azure Data Engineer I Edureka

Edureka

They should also be proficient in programming languages such as Python , SQL , and Scala , and be familiar with big data technologies such as HDFS , Spark , and Hive. Learn programming languages: Azure Data Engineers should have a strong understanding of programming languages such as Python , SQL , and Scala.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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Azure Synapse vs. Databricks – What Are the Differences?

Edureka

On the other hand, thanks to the Spark component, you can perform data preparation, data engineering, ETL, and machine learning tasks using industry-standard Apache Spark. You can be confident about your data security with features like column-level security, dynamic data masking, and automated threat detection.

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Azure Data Engineer Interview Questions -Edureka

Edureka

Dynamic data masking serves several important functions in data security. It can be set up as a security policy on all SQL Databases in an Azure subscription. One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store.

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15 Sample GCP Projects Ideas for Beginners to Practice in 2023

ProjectPro

Cloud DataPrep is a data preparation tool that is serverless. All these services help in a better user interface, and with Google Big Query, one can also upload and manage custom data sets. Data Lake using Google Cloud Platform What is a Data Lake?