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Top 10 Data Engineering Tools You Must Learn in 2025

ProjectPro

It can also access structured and unstructured data from various sources. Enhanced security level- Hive now strictly controls the file system and computer memory resources to suit customer demands for concurrency upgrades, render security, and other features. GraphX is an API for graph processing in Apache Spark.

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Top 10 Data Engineering Trends in 2025

Edureka

Companies all over the world will keep checking that they are following global data security rules like GDPR. Data Democratisation Focus Organizations are under more pressure to “democratize” data, which lets teams that aren’t experts access and use data.

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Compare Redshift vs BigQuery vs Snowflake for Big Data Projects

ProjectPro

Over the past few years, there has been remarkable progress in two fields: data storage and warehousing. This is primarily due to the growth and development of cloud-based data storage solutions, which enable organizations across all industries to scale more efficiently, pay less upfront, and perform better.

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AWS Shared Responsibility Model – Amazon Web Services

Edureka

Meanwhile, customers are responsible for protecting resources within the cloud, including operating systems, applications, data, and the configuration of security controls such as Identity and Access Management (IAM) and security groups.

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11 Data Engineering Best Practices To Streamline Your Data Workflows

ProjectPro

Utilize Delta Lakes For Reliable And Scalable Data Storage Delta Lake is a data lake storage format that offers ACID (Atomicity, Consistency, Isolation, Durability) transactions. Think of Delta Lakes as the superhero for data integrity and reliability in Databricks pipelines!

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Snowflake also has data discovery features, allowing users to find and retrieve data more efficiently and rapidly. Snowflake Data Marketplace gives users rapid access to various third-party data sources. Moreover, numerous sources offer unique third-party data that is instantly accessible when needed.

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What is the Difference Between Azure Synapse vs. Databricks ?

ProjectPro

Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects. Databricks vs. Azure Synapse: Architecture Azure Synapse architecture consists of three components: Data storage, processing, and visualization integrated into a single platform. Databricks supports Python, R, and SQL.