DIGITAL TRANSFORMATION – CHALLENGES IN BIG DATA ANALYTICS






PRODUCT ENGINEERING SERVICES FOR BIG DATA ANALYTICS

At Celstream, with nearly two decades of experience in delivering product engineering services for diverse and complex products, we understand what it takes to implement digital transformation with big data analytics in your legacy and new products and services.

We can enable you to derive business benefits out of your data through these three broad types of analytics:

digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration


Descriptive Analysis

Predictive Analysis

Prescriptive Analysis



Visualization and Analytics

  • Amazon QuickSight®, Amazon Kinesis® Analytics
  • Azure Power BI®, Azure Stream Analytics, Azure Data Lake Analytics
  • Qlik®, Tableau®, Kibana®

Search

  • Amazon Elasticsearch®, Amazon CloudSearch®
  • Azure Search
  • Apache Solr™, Apache Lucene Core®

Data Orchestration

  • AWS Lake Formation®, AWS Data Pipeline(R), AWS Glue™
  • Azure Data Factory

Data Migration and Ingest

  • AWS Direct Connect®, AWS Virtual Private Network™, AWS DataSync®, Amazon S3® Transfer Acceleration, AWS Database Migration Service, Amazon Kinesis Data Streams
  • Azure Database Migration Service, Azure Event Hub
  • Logstash®

Processing and Query

  • Amazon EMR®, Amazon Redshift Spectrum®, Amazon Athena®, Amazon Kinesis Data Analytics, AWS Lambda®
  • Azure HDInsight®, Azure Batch, Azure Stream Analytics, Azure Analysis Services (OLAP Cubes)
  • Apache Hadoop®, Apache Pig™, Apache Hive™, Apache Storm™, Apache Spark™, Apache Kafka®

Storage

  • Amazon S3, Amazon Redshift®, AWS Glue Data Catalogue, Amazon Kinesis Data Firehose, Amazon Glacier®
  • Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake
  • MongoDB®, Apache HBase®, Apache CouchDB®, Apache Cassandra®