Hive is an open-source data warehouse system used to process large volumes of structured and semi-structured data. It was built on Apache Hadoop and uses MapReduce for query scheduling and distributed storage for large datasets. Hive is an optimal platform for querying and manipulating stored data as it offers a SQL-like syntax for data analysis by using high-performance query engines. A Hive Developer is a specialist who understands the language of Hive, its architecture and its data warehouses, who can create complex queries to work with data of any size and structure in the most efficient way.
Here's some projects that our expert Hive Developers make real:
• Create computational systems to process large datasets
• Automate data pipelines with efficient use of resources
• Create custom software solutions to deploy optimized machine learning algorithms
• Design efficient distributed systems for analytics and reporting needs
• Design and develop high-quality databases
• Construct resilient real-time architectures leveraging Hadoop, Hbase, Spark, Kafka, etc.
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