Apache Phoenix
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Apache Phoenix is an open-source software that provides a SQL interface to Apache HBase, a NoSQL database. With Apache Phoenix, developers can write SQL queries and execute them directly on HBase, rather than writing Java code. This makes d...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
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Apache Flume is an open-source service for efficiently collecting, aggregating, and moving large amounts of log data from different sources to a centralized data store or data processing framework. It is used for data ingestion and is commonly used in big data environments to handle data streams from various sources. Flume is highly configurable and flexible, allowing users to customize the data flow process to suit their specific needs. Knowledge of Flume is required for professionals working with big data technologies and data analytics.
Apache Oozie is a workflow scheduler system for Apache Hadoop that allows users to define and run workflows, or sequences of processes that execute Hadoop jobs. It is designed to simplify the coordination of large-scale data processing tasks, allowing developers to create, schedule, and manage complex workflows that involve multiple Hadoop jobs and other dependencies. Oozie supports a range of Hadoop ecosystem components and other data processing systems, including Pig, Hive, MapReduce, and Spark, making it a versatile tool for building and running big data applications.
Cloudera Certified Developer for Hadoop (CCDH) is a certification program that validates an individual's expertise in developing and creating applications using the Hadoop ecosystem. It is designed to demonstrate a developer's ability to work with Hadoop and related tools to design, develop, and maintain efficient and scalable big data applications. The program covers a range of topics including the fundamentals of Hadoop, MapReduce, YARN, HDFS, and related technologies. The certification is widely recognized in the industry and serves as a benchmark for Hadoop developers.
Spark Core refers to the foundational processing layer of the Spark framework for working with large datasets across computing resources. It is used to organize data operations, manage memory and tasks, and support batch processing in data engineering and analytics workflows. The skill involves understanding how to build and run reliable data applications that process information at scale.
Spark Framework is an open-source Java web application development framework that enables developers to quickly and easily create web applications. It provides a simple and expressive syntax that simplifies the development process and supports multiple programming languages. Its key features include RESTful support, high performance, built-in template engine, and active community support.
Lightcast Skills Taxonomy
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Degree Requirements are Dropping—But They’re Still Higher for AI Jobs

He Tried College Three Times. Then He Found a Career With No Ceiling.

The Rise of Fractional Leadership
About
Apache Phoenix is an open-source software that provides a SQL interface to Apache HBase, a NoSQL database. With Apache Phoenix, developers can write SQL queries and execute them directly on HBase, rather than writing Java code. This makes d...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?
Apache Flume is an open-source service for efficiently collecting, aggregating, and moving large amounts of log data from different sources to a centralized data store or data processing framework. It is used for data ingestion and is commonly used in big data environments to handle data streams from various sources. Flume is highly configurable and flexible, allowing users to customize the data flow process to suit their specific needs. Knowledge of Flume is required for professionals working with big data technologies and data analytics.
Apache Oozie is a workflow scheduler system for Apache Hadoop that allows users to define and run workflows, or sequences of processes that execute Hadoop jobs. It is designed to simplify the coordination of large-scale data processing tasks, allowing developers to create, schedule, and manage complex workflows that involve multiple Hadoop jobs and other dependencies. Oozie supports a range of Hadoop ecosystem components and other data processing systems, including Pig, Hive, MapReduce, and Spark, making it a versatile tool for building and running big data applications.
Cloudera Certified Developer for Hadoop (CCDH) is a certification program that validates an individual's expertise in developing and creating applications using the Hadoop ecosystem. It is designed to demonstrate a developer's ability to work with Hadoop and related tools to design, develop, and maintain efficient and scalable big data applications. The program covers a range of topics including the fundamentals of Hadoop, MapReduce, YARN, HDFS, and related technologies. The certification is widely recognized in the industry and serves as a benchmark for Hadoop developers.
Spark Core refers to the foundational processing layer of the Spark framework for working with large datasets across computing resources. It is used to organize data operations, manage memory and tasks, and support batch processing in data engineering and analytics workflows. The skill involves understanding how to build and run reliable data applications that process information at scale.
Spark Framework is an open-source Java web application development framework that enables developers to quickly and easily create web applications. It provides a simple and expressive syntax that simplifies the development process and supports multiple programming languages. Its key features include RESTful support, high performance, built-in template engine, and active community support.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Browse Skill Categories
Lightcast Skills Resources

Degree Requirements are Dropping—But They’re Still Higher for AI Jobs

He Tried College Three Times. Then He Found a Career With No Ceiling.

The Rise of Fractional Leadership
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This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.