The new standard in Hadoop Development Services

Hadoop development is the process of building, designing, and implementing solutions through Hadoop, an open-source framework for processing large data sets and distributed storage. It typically involves using the tools and components within the Hadoop ecosystem to create efficient, scalable, and reliable applications for big data processing and analytics.

Hadoop development is important as it leverages Hadoop’s capabilities for the following:

Scalability - Enabling businesses to handle and process large data sets by distributing the workload across clusters.

Flexibility - Hadoop offers flexibility in handling various data types, including structured and unstructured data, also supporting different data formats.

Cost-effectiveness - Since Hadoop runs on commodity hardware, making it a cost-effective solution compared to traditional data processing systems.

Data-processing power - Hadoop uses parallel processing and distributed computing to run complex data processing tasks, giving businesses the ability to expedite data processing.

Advanced analytics - Using Hadoop, enterprises derive key insights from their extracted data via advanced analytics, implementing tools like Apache Hive, Spark, Mahout, and Pig.

Hadoop processes and analyzes big data by delivering a scalable and distributed framework that can tolerate the velocity, volume, and variety of data. It does so by implementing key processes such as parallel processing of data and data replication, along with offering robust integration capabilities, and various frameworks for data processing such as Apache Spark and Hive, ensuring fault tolerance, and enabling advanced analytics.

The most commonly-used programming languages for Hadoop development are Java, Scala, R, and Python. Although not a traditional programming language, SQL is also widely used for data analysis and querying within Hadoop.

Hadoop supports machine learning and advanced analytics through various components, such as its distributed storage, parallel processing, data transformation and preprocessing, iterative processing, data source integrations, data processing frameworks, and Apache Spark MLlib.

Turing is a leading Hadoop services company that offers deep industry expertise to develop customized solutions best suited to your business needs. Our team comprises skilled Hadoop developers with vast experience in building personalized Hadoop solutions using industry-standard tools and best practices. Our Hadoop development services encompass everything from Hadoop development and implementation to business intelligence and Hadoop consulting services, built on the prior experience of our Hadoop development team deploying robust solutions at leading IT enterprises.