Store and Process Your Large Data Sets With a Custom Apache Hadoop Solution
We use Apache Hadoop's framework for the purpose of distributing large data sets across clusters of computers using simple programming models. Gain better insights from big data and much-needed scalability, flexibility and cost-effectiveness.
Chetu's Hadoop programming boasts developers with experience in related technologies such as Spark, Scala, Python, Cloudera, Hive and Impala that enable the massive storing of data and running applications.
Our MapReduce framework implementation enables a significant volume of data on large clusters to be processed, as well as generates big data sets with a parallel, distributed algorithm.
Our Hadoop developers perform integration solutions with software components such as Hive, Pig, Flume, Ambari, HCatalog, Solr, Cassandra, Sqoop, Zookeeper, HBase, and Oozie.
Enterprise Data Storage and Processing
Our Hadoop solutions enable enterprises to gain better insights from data and achieve scalability, flexibility and cost-effectiveness.
Hadoop YARN Architecture
Our developers utilize the Hadoop YARN (Yet Another Resource Negotiator) architecture that enables system resource allocation to applications operating in clusters while organizing tasks.
Hadoop Maintenance Services
Our developers provide maintenance services for your critical business processes. Our developers provide improved functionality and lessen the need for continued maintenance.
Hadoop Custom Development
We optimize your organizations performance with custom Hadoop development. We help IT departments balance current workloads with future storage and processing needs.
At Chetu we understand dynamic market trends and how they affect your business goals, so, we ensure a smooth transition of your existing platforms and frameworks to a more stable Hadoop solution.
Get Robust Apache Hadoop Services For Big Data Solutions
Whether you currently utilize Hadoop clusters or you want to implement seamless Apache Hadoop services from scratch, our team of Hadoop developers are ready to help you.
Optimize your existing Hadoop platform for better results. Our Hadoop experts work on your platform to customize and make relevant to the current trends and business requirements.
SAS/ACCESS to Hadoop
We provide SAS/ACCESS to Hadoop with features such as metadata optimization and integration, query language support, Hive interface support, SAS statement mapping, and seamless data access.
We integrate real-time insights with multiple solutions and existing Hadoop clusters for real-time responsive analytics.
Experienced Hadoop Architects
Our talented and experienced Hadoop experts help enterprises to strategize, build, implement, integrate and test custom Hadoop solutions.
We provide you with a comprehensive data setup that manages your data operations and analytics. We set up a streamline data pipelines from storage to data analysis.
Big Data Projects
We make use of next-gen big data technologies like Apache Hive, Apache Cassandra, and Apache Spark to provide our customers with the most effective big data solutions.
Big Data Experts
Chetu is able to provide Big Data consulting and development services, helping companies bridge the gap between the overflow volume of complex data and the ability to perform in-depth analysis to interpret and report.
We provide custom HDFS (Hadoop Distributed File System) services that successfully use NameNode and DataNode architecture to utilize distributed file systems for access to data throughout custom Hadoop clusters.
We Optimize Your ICT Infrastructure Through Hadoop Nodes Identification and Integration
Big Data analytics
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