Hive Developers

Hire Hive Developers

Hive is a free and open-source software repository that provides users with the ability to access and manage data stored in the Apache Hadoop Distributed File System (HDFS) or any other supported database, such as Apache HBase. If a user is familiar with SQL, they can leverage Hive to write queries using the Hive Query Language (HQL) in order to perform data analytics in a manner that is similar to that of standard SQL queries. Hive was developed to make MapReduce jobs easier by eliminating the need for users to understand or write actual Java code. Additionally, users may submit HQL queries, and Hive will automatically create a map and carry out any required reductions.

Hive is a powerful tool that provides users with the ability to transform large amounts of unstructured data into a data table. Its metastore acts as the foundation of the Hive system, storing information about a table’s cells, lines, data types, and other features. This allows other applications, such as Apache Spark and Apache Pig, to access and retrieve the data stored in the metastore. In addition, the Hive superstore adds even further functionality to the system, making it a valuable asset for any data analytics project.

It is evident that Apache Hive is a data warehouse program that is built on the foundation of Apache Hadoop and Hive operational operations. This leads to substantial differences from a traditional SQL front end. The most notable difference is that Hive is not suitable for situations that require instantaneous action, as it is severely constrained in its capacity to execute large progressive searches, which can take many minutes. Furthermore, Apache Hive is a read-only database, meaning it cannot support batch-heavy business operations. Nevertheless, Hive does have some advantages when it comes to information logistics procedures such as Extract-Transform-Load (ETL), monitoring, and statistical analysis. The ease of access control to SQL makes Hive an ideal choice for these tasks. The growing popularity of Apache Hive has created a need for qualified developers in the business world.

Find out more about the Hive

  • Our design allows for the processing of a single piece of data at a time, and the total amount of data stored in a hyper Hadoop arrangement is limited to the capacity of the server. This approach is more efficient and effective than other methods.

When operating in Map-Reduce fashion,

  • In the presence of a great deal of data modules, this is the state to which Hive defaults.
  • The information density of each individual node varies.
  • That means users have access to a massive trove of information.

Features that Make Apache Hive Stand Out

Some notable aspects of Apache Hive include:

  • Free and available to the publicApache Hive is now freely available to the public. We can get it at no charge whatsoever.
  • Access and manage massive data setsHive allows you to query and manage huge amounts of data stored in the Hadoop Database.
  • Multi-usersWith Hive Data Structure, several people may go at the data at the same time.
  • Interoperable with existing systemsApache Hive is a great reflection of Apache Hadoop’s minimal requirements.
  • Differentiation between Data and HyperlinksApache Hive allows for field-scale dynamic fragmentation and linkages, increasing efficiency.

Several features are already implemented in Hive:

  • It also works with Client Activities to help with tasks like data mining and scanning. In order to meet our needs, we may design UDFs.
  • The SQL-like syntax used in the underlying operating system facilitates quick updates (simple and easy to use).
  • Without having to actually develop the map, the designers may save money by not having to buy anything.
  • Hive is often used for data processing and other uses where real-time speed is not crucial because of its lengthy runtime.
  • While Hive’s processing speed shines when dealing with massive amounts of data, it struggles when dealing with smaller data sets.
  • Hive provides operations to its customers and encourages them to develop their own special procedures to meet their needs.

The Functions and Obligations of Hive Developers

As a Hive Developer, a significant amount of their time is devoted to creating new features and repairing any existing bugs. Although there is only a slight distinction between the roles of a web designer and a Hive Developer, the latter falls within the larger discipline of data management. To gain insight into the work of a Hive Developer, it is beneficial to explore a few examples of the tasks they undertake.

  • Designing and implementing Hive
  • Gathering data from a wide variety of sources.
  • Making, building, putting into practice, coding, and controlling Hadoop.
  • Prepare detailed designs based on intricate functional and technical criteria.
  • Look for new insights through analysing large volumes of data.
  • Safeguard sensitive information at all costs.
  • Create adaptable, high-performing internet services for monitoring performance.
  • Rapid questioning
  • Implementing and managing HBase databases.
  • Participation in a proof-of-concept effort aimed at facilitating the creation of additional Compute nodes.
  • The prototypes are evaluated and presented to the upper management.
  • Do something like provide guidelines and principles.

Required Skills

A set of talents is required to become one. The following technical abilities may be required by companies operating in a variety of industries.

  • Familiarity with Hadoop is helpful, but not required.
  • The back end is in charge of advertising, and it mostly advertises Java, JS, Node.js, and OOAD.
  • Learn some low-maintenance, high-speed code.
  • It’s important to have a firm grasp of the principles, ideas, and procedures that make up the framework of the system.
  • Capability to decipher Pig Latina script.
  • Professionalism in HiveQL is required.
  • You should be acquainted with two really useful tools: Flume and Sqoop.
  • Awareness of Time Commitment.
  • The use of analytical and caring skills in the field of Big Data.
  • Outstanding familiarity with concurrent programming and multi-threading methods.

Are you looking for a qualified MVC developer to join your team? Look no further than Works! Our platform allows you to easily find and connect with skilled professionals from all over the world, whether you need a freelancer, an employee, or a contractor. We have a wide selection of MVC developers that meet your exact criteria.

Independent Work and Contracting

Freelance developers who specialise in Hive programming can expect to earn hourly wages between $60 and $70, depending on their skillset and the industry they are working in. Additionally, those who are contracted to work on Hive projects will receive their payments on a regular, monthly basis, as stipulated in the contract. Hive is becoming an increasingly popular choice for businesses who need a reliable and efficient data analytics platform, due to its compatibility with Apache Hadoop. As a result, Hive developers can count on there being a steady flow of work available for them.

Bee Accreditation

With the increasing use of Hive by large corporations worldwide, obtaining certification in the platform can be highly advantageous to one’s prospects of attaining a lucrative job and developing a profitable career. Hive has been proven to be the most dependable choice for managing extensive datasets through the utilisation of Structured Query Language (SQL).

At present, 6,052 companies have adopted Apache Hive and it is highly regarded in the American software development industry. The majority of users are organisations with between 50 and 200 employees and annual revenues exceeding $1 billion. Although there are few major companies using Hive, notable examples include Nike, Visa and Walmart. In terms of annual revenue, there are three distinct types of Apache Hive users: those with revenues of $50 million; those with revenues between $50 million and $1 billion; and those with revenues exceeding $1 billion.

It is indisputable that the demand for Hive skills is significant, making it essential for developers to stay up-to-date with the latest Hadoop and Data Management tools. Fortunately, Apache Hive provides access to the necessary resources for individuals to improve their knowledge and grow professionally. Additionally, with the increased opportunities for Hive developers to be employed by top companies, individuals have the opportunity to progress rapidly in their career by obtaining their Apache Hive certification. Therefore, obtaining a certification in Apache Hive can be the first step towards achieving success in the field.

Domain Expertise

At Works, we specialise in tech recruitment for remote tech engineers for various sectors. We also provide comprehensive HR services that covers every aspect of the process of recruiting and onboarding overseas employees and freelancers, including selection, invoicing, compliance, and taxation. Our goal is to help you to integrate the best remote developers into your team to drive your technical projects and important technology initiatives.

FAQ

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What makes Works Hive Developers different?
At Works, we maintain a high success rate of more than 98% by thoroughly vetting through the applicants who apply to be our Hive Developer. To ensure that we connect you with professional Hive Developers of the highest expertise, we only pick the top 1% of applicants to apply to be part of our talent pool. You'll get to work with top Hive Developers to understand your business goals, technical requirements and team dynamics.