The new standard in Hadoop Development Services

Streamline data analysis to overcome complex business challenges. Our holistic Hadoop development services equip businesses with robust big-data processing capabilities to capture new market opportunities. Book a call now to harness the power of Hadoop for efficient data management and data-driven decision-making.

How Turing creates business solutions

At Turing, our experts excel in delivering end-to-end Hadoop development services that accelerate businesses to newer heights. Across Hadoop consulting services, architecture design, integration, and other customized solutions, our experts utilize Apache Hadoop for intelligent big data implementation to help businesses unlock maximum value realization in their desired industry verticals.
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Our Hadoop development service offerings

Hadoop Consultancy

At Turing, we aim to guide clients in their Hadoop adoption journey by navigating every aspect of the development process effectively. Our Hadoop consulting services cover Hadoop distribution, architecture design, data integration, Hadoop clusters, and other key areas, enabling businesses to make the right choices and unlock high-value realization.

When you outsource Hadoop development services to us, you get end-to-end consulting solutions that empower your business to identify the most beneficial Hadoop elements and capitalize on the framework’s capabilities.

Our Hadoop consultancy services include:

  • Assessment - Meticulously analyze your business objectives, current infrastructure, and data ecosystem, to understand the unique challenges and goals. Based on this, our experts will establish a tailored Hadoop strategy that you can readily implement.
  • Architecture design - Providing end-to-end guidance on Hadoop cluster architecture design and implementation. Here, our experts define the optimal network and hardware configurations, deploy the required software components, and ensure high fault tolerance and availability.
  • Data integration - We can help your business establish robust data pipelines by integrating numerous data sources into the Hadoop ecosystem. Here, our experts will leverage technologies like Apache Sqoop, Kafka, and Flume for batch data or real-time ingestion. Our experts will also assist in data cleansing and transformation using industry-standard tools like Apache Hive and Spark.
  • Security - Our Hadoop consultants also help implement efficient security measures for Hadoop clusters, including establishing authentication, auditing mechanisms, and authorization. For these, our experts utilize technologies like Apache Ranger, Kerberos, and Apache Sentry.

Hyperscale with your cloud platform of choice

Turing Cloud Services has experts for all 3 major cloud providers. As a cloud-agnostic services provider, we’re equipped to deliver an ideal solution for your requirements every time.
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Frequently Asked Questions

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.

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