There is an exponential growth in the volume, variety and velocity of data. Our in-house data connectors, solution accelerators and big data integration capabilities enable faster data-driven decision making leveraging our extensive experience in data management, data warehouse implementation, real-time data integration, high volume data processing and data orchestration and reporting.
We have helped many enterprises to build their data management and analytics platforms using open source as well as cloud-based big data solutions such as Amazon Redshift, Amazon CloudSearch, Amazon Kinesis, Google BigQuery, Google Cloud Dataflow and Google Cloud Dataproc.
We have built capabilities around Big Data platform implementation from ETL, data processing, compute, data orchestration, visualization, reporting, analytics, advanced and predictive analytics, data modelling and data science. Leveraging these capabilities we offer end to end Big Data and Data Engineering services.
We help businesses to determine their big data strategy and consult on improving the business performance uncovering the power of data. Our Big Data consulting includes POC/POV, technical recommendations, data source analysis, architectural consulting, capacity planning and much more.
We can help businesses with real-time data ingestion, ETL & batch processing and storage from different & complex data sources leveraging our deep expertise across big data technologies such as Hadoop (HDFS, Map Reduce, Hive, Flume, Sqoop, and Oozie) and Spark. We help businesses create real-time charts & dashboards and setup pipeline.
We help businesses design, architect and implement data lake frameworks and integrate data assets to derive meaningful insights without any data loss. The implementation consists of identifying data channels, data integration, backup, archive, data processing, data orchestration, and visualization along with data governance and automation.
Leveraging our expertise in both DevOps and Big Data Administration, we ensure architecture setup, implementation with full automation and manage the overall performance of Hadoop clusters to ensure high throughput and availability. We also help businesses identify potential threats through, data governance and access & identity management to help ensure data security.
We ensure data quality, accuracy, consistency and completeness through big data testing and automation. Our QA engineerings verify data in a 3 stage validation including data stage validation, MapReduce Validation and output validation followed with performance testing of big data applications.
We use various tools such as Tableau, Chart.js, Dygraphs, D3JS and HighCharts to produce visuals and stories that generate high business impact. We generate custom dashboards, reports, alerts and metrics as per business logic and apply machine learning algorithms & data modeling to perform predictive analysis using techniques such as regression and decision trees.
We leverage best industry tools & software frameworks to store, process, analyze and visualize your data.
The AWS Competency Program is designed to highlight competencies of APN partner. We offer full lifecycle of Big Data services and our technical proficiency and proven customer success have helped us to be one of the few AWS APN partners who could attain AWS Big Data competency.
Trusted by leading brands including Fortune 500 enterprises and Silicon Valley startups
+ What competencies do you have under Big Data domain?
+ Why should I use Hadoop? Does it provide real-time analytics?
+ Is your Big Data team certified?
+ How does Spark compare to Hadoop and which languages it support?
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