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HBase vs Cassandra-The Battle of the Best NoSQL Databases

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NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Table of Contents HBase vs. Cassandra - What’s the Difference?

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SQL for Data Engineering: Success Blueprint for Data Engineers

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At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% Almost all major tech organizations use SQL. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity.

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Data Engineering Roadmap, Learning Path,& Career Track 2025

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Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop , Apache Hive, etc., Experience with using cloud services providing platforms like AWS/GCP/Azure. and their implementation on the cloud is a must for data engineers.

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Hottest IT Certifications of 2025- NoSQL Databases (MongoDB Certification)

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Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2025 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

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Sqoop vs. Flume Battle of the Hadoop ETL tools

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Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

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Top Hadoop Projects and Spark Projects for Beginners 2025

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Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

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10 MongoDB Mini Projects Ideas for Beginners with Source Code

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It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. Before we get started on exploring some exciting projects on MongoDB, let’s understand what exactly MongoDB offers as a NoSQL Database. MongoDB stores data in collections of JSON documents in a human-readable format.

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