Apache Spark is an open-source, distributed computing system designed for large-scale data processing. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance, enabling fast execution of complex analytics tasks, including batch processing, streaming, machine learning, and graph computation.
Howdy Network Rank#9
*Survey of over 20,000+ Howdy Professionals
Explore the Howdy Skills Glossary
About Apache Spark
Apache Spark was created in 2009 by researchers at UC Berkeley's AMPLab. It was developed to address the limitations of Hadoop MapReduce, particularly its inefficiency in iterative machine learning and interactive data mining tasks. Spark provided a more flexible and faster processing framework, which led to its rapid adoption in the big data community.
Strengths of Apache Spark include its high processing speed, ease of use, and versatility in handling various types of data processing tasks. Weaknesses include its high memory consumption and potential complexity in managing large-scale deployments. Competitors of Apache Spark include Hadoop MapReduce, Flink, and Dask.
Hire Apache Spark 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 Apache Spark expert
An Apache Spark expert must have strong proficiency in Scala or Python, experience with distributed computing, and a deep understanding of Spark's core concepts like RDDs, DataFrames, and Datasets. They should also be skilled in performance tuning, cluster management with tools like YARN or Mesos, and have knowledge of integrating Spark with Hadoop ecosystems and various data sources such as HDFS, S3, and relational databases.
Hire Howdy Experts
Enzo G.
Back-end and Systems Engineer
Skills
Node.js
Nestjs
Next.js
Graphql.js
Apollo Graphql
Ruby On Rails
Postgresql
React
Go
Amazon Aws
Bio
Hire EnzoEnzo is a backend developer with over nine years of experience designing scalable architectures, developing, testing, and overseeing web application production. His expertise spans e-commerce, social networks, mobile applications, and Fintech.
Adam C.
Data Engineer
Skills
AWS DynamoDB
Java
Sql
AWS S3
AWS Lambda
Apache Spark
Python
Microsoft Azure
AWS Athena
AWS Glue
Bio
Hire AdamA highly skilled professional with a Bachelor's degree in Information Systems, specializing in Data Engineering and Software Development, complemented by extensive experience in project management and data analytics. Demonstrated expertise in building robust data lakes utilizing cutting-edge technologies such as AWS and Python, along with a strong background in database management and ETL processes. Proficient in transforming raw data into actionable insights through advanced analytical techniques and visualization tools like Power BI and Amazon QuickSight. Possesses a solid foundation in agile methodologies, enabling effective collaboration across cross-functional teams. Committed to continual professional development in Data Science and Artificial Intelligence, showcasing a proactive approach to adopting innovative solutions that enhance organizational efficiencies and decision-making.
*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.
