Hive is a data warehouse infrastructure built on top of Hadoop, designed to facilitate querying and managing large datasets residing in distributed storage using SQL-like syntax. It translates SQL queries into MapReduce jobs, enabling efficient data analysis and summarization.
Howdy Network Rank#13
*Survey of over 20,000+ Howdy Professionals
About Hive
Hive was created in 2008 by Facebook to address the challenge of managing and querying large datasets stored in Hadoop. It aimed to make data processing more accessible to analysts by providing an SQL-like interface, which simplified the interaction with Hadoop's complex MapReduce framework.
Hive's strengths include its ability to handle large datasets, SQL-like interface, and seamless integration with Hadoop. Its weaknesses are slower query performance compared to some modern data processing tools and higher latency due to reliance on MapReduce. Competitors include Apache Spark, Presto, and Google BigQuery.
Hire Hive Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Hive expert
A Hive expert must have strong proficiency in SQL, deep understanding of Hadoop and HDFS, experience with MapReduce, knowledge of data warehousing concepts, and familiarity with scripting languages like Python or Java for custom UDFs.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.
