Establishing the Big Data and Data Analytics – What we can do for you
Big data technology is rapidly transforming modern business. Apache Hadoop is the most mature of the big data technologies available today and has the largest installed base. Spark Stand-Alone Clusters and Spark on Mesos are also gaining popularity. However, even with the cost benefits of open-source Hadoop or Spark, implementing sophisticated scalable data warehouses capable of performing streaming processing at scale remains a challenge. This problem is the result of both a shortage of skills and the inherent complexity of distributed systems. Our expertise in Big Data Analytics addresses these issues effectively.
We can deploy your Big Data Cluster, set up data pipelines for Stream Analytics (that can also do Batch loads) with capabilities to run queries on streams for real-time processing. We can do all of this on-premises or on Cloud as needed by your use case. Our platform is specifically designed to address the key issues. It allows developers to use a single language, SQL, for batch processing, interactive analysis, streaming analytics, and searches. Data in remote heterogeneous infrastructures are available using SQL through analytic engine. Building streaming applications in our data platform is straightforward. Using our streaming technology, developers can use the same SQL language for streaming as they do when access a database. Our Platform enables significant cost savings without sacrificing performance. Enterprises don’t need to spend huge amounts of money to efficiently create a sophisticated, scalable big data system. Distributed in-memory analysis engine and real-time, large-scale computation platform, better performance of open-source Hadoop by factors of 10 to 100 times. We provide Hadoop as a service, data science as a service, and artificial intelligence as a service All applications and Hadoop components are containerized, and we can spin them up very quickly and scale them to a larger clusterOther than the Data Ingestion Technologies such as Sqoop, Kafka, etc., and Storage and Query Technologies such as HIVE, Presto, Cassandra, etc., we use the following for Analytics and Visualizations:
Google AI Microsoft AI Platform (Azure cognitive services, ML Studio etc.) Analytics on AWS (Data Pipeline, Kinesis, Databricks), Redshift Azure Datafactory, DB, Analytics (Databricks, HDInsight’s, datalake storage) Tensorflow Openrefine (Data Munging, cleanup of messy data, transformation, extension with webservices) Alteryx Apache Spark Ecoystem (Spark, SparkSQL, Structured Streaming, MLLib, GraphFrames) Power BI Tableau We are partnered with certified service provider for all your data needs: Analytics as a Service Analytics Services and Applications Transformation, Discovery & Visualization Tools Data Science Platform Machine Learning and Statistics Tools Hadoop Distributions and Databases InfrastructurePioneering Multi-Tenant System:
