Big Data & Analytics
Services
Data migration
Data visualization
Standard and custom reports
Data analytics and forecasting
Analyzing high volume structured and unstructured data
Data warehouse and data mining design and implementation
Collect and analyze data in real-time
Technologies
Data Integration
- Azure Database Migration Service, Azure Data Factory, Azure Event Hub, Azure Stream Analytics, Azure Synapse
- AWS Kinesis Firehose, AWS Database Migration Service, AWS Glue, AWS Lambda, AWS Data Pipeline
- Google Cloud Dataflow, Google Cloud Datastream
- Apache Nifi, Apache Kafka, Apache Flume, Apache Airbyte, Debezium
Data Storage
- Azure Blob Storage, Azure Data Lake Storage, SQL, Azure Cosmos DB
- Amazon S3, Amazon DynamoDB, Amazon Redshift
- HDFS, MinIO, ClickHouse, Apache Pinot, PostgreSQL, TimeScaleDB, MongoDB
- Google BigQuery, Google Cloud Storage
- Apache Iceberg, Apache HUDI, Delta Live Table
Data Processing & Analytics
- Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure HDInsight
- AWS Glue, AWS EMR, AWS Lambda
- Google Cloud Dataproc, Google Cloud Dataplex
- Apache Flink, Apache Spark, Apache Beam, Apache Storm
Data Observability
- Azure Monitor, Azure Application Insights, Azure Firewall
- Amazon CloudWatch, AWS X-Ray, AWS CloudTrail, IAM, KMS
- Google Cloud Monitoring, Google Cloud Trace
- Prometheus, Grafana, Datadog
Data Visualization & BI
- Azure Power BI, Azure ML, Azure Open AI, Azure AI Search
- Amazon QuickSight, Amazon SageMaker
- Google Data Studio, Google Looker
- Tableau, Power BI, Apache Superset, Metabase, Grafana
Infrastructure & Platforms
- On-premises, AWS, Azure, Google, Databricks, Snowflake
Programming Languages & Frameworks
- Scala, Java, R, Python, Panda, MapReduce, Spark, Flink
Solutions
BI Platform
Real-time Data Processing
Intelligent Search Engine & Chat Bot
Large-scale Data Analytics
Customer Data Platform
Data Warehouse Migration
AI-driven Forecasting
Data & AI Integration
TMA Data Platform
Introduction to TMA Data Platform
Integrate enterprise data in minutes at scale instead of hours or weeks
Transform raw data into actionable insights in seconds, not hours
Maximize data warehouse's performance, cut costs, and enhance efficiency in no time
Visualize complex data effortlessly, turning numbers into narratives in real-time
Unlock business intelligence with integrated ML/AI solutions instantly
TMA Data Platform Overview
TMA Data Platform Architecture
Features
Features | TMA Data Platform |
Service Model | Supports both on-premises and multi-cloud environments, offering flexibility for deployment based on organizational needs. |
Supported Cloud Platforms | Compatible with a wide range of platforms including Azure, AWS, Google Cloud, Digital Ocean, as well as private clouds and enterprise data centers, ensuring broad interoperability. |
Scalability | Designed with horizontal scaling capabilities, allowing seamless expansion as data and user demands grow |
Vendor Lock-in | No vendor lock-in, providing customers with full control and freedom to migrate or integrate systems. |
Query Interface | Offers multiple options like SQL, Spark Dataframe, and REST API to suit diverse analytical and development needs. |
Data Structures | Capable of handling all types of data, including structured (e.g., relational databases), semi-structured (e.g., JSON, XML) and unstructured(raw, audio, video, logs, text, etc.) |
Services | Data lake, data warehouse, data lakehouse, data science, data analytics and AI/ML. |
Analytic Model | Supports Batch processing, Real-time analytics, and Streaming analytics for varied data processing needs |
AI/ML Capabilities | Built-in AI/ML models provided by TMA, designed to streamline predictive analysis and decision-making processes. |
BI & Reporting | Includes built-in reports and dynamic dashboards that offer real-time visualization and business intelligence insights. |
Security & Governance | Features role-based access control to ensure secure and restricted access to sensitive data. Can be customized to meet customer’s needs |
Domain Specific | Tailored solutions for specific industries such as: Networking, Telecom, Health Tech, Customer Insights |
Composable | Fully customizable components, enabling organizations to adapt the platform to meet unique business requirements. |
Easy to Use | Provides an intuitive drag-and-drop interface and customizable workflows, making it accessible even for non-technical users. |
TMA Data Platform Solutions/Services
Solution/ Service | Notes |
Customer Data Platform | Unify customer data for personalized experiences and insights. |
Enterprise Data Platform | Centralize data management for seamless access and analysis. |
Data Warehouse | Ingest, store and query millions events per day efficiently for business intelligence. |
Data Lake | Collect and store raw data in its native format for flexible analysis. |
Data Lakehouse | Combine data lake and warehouse capabilities into unified platform for comprehensive analytics. |
Low-code Data Ingestion pipeline | Simplify data ingestion with minimal coding effort with advanced and easy to use tool |
Low-code Data Transformation pipeline | Transform data easily with low-code and easy to use tools. |
Automatic Lakehouse Optimization pipeline | Optimize lakehouse performance automatically with our ready to use pipelines. |
Dynamic Reports & Dashboard | Create dynamic, flexible, interactive reports and dashboards for real-time insights. |
Data & AI Governance Pipeline | Ready to use pipeline for ensuring data quality, security, and compliance |
High performance real-time data ingestion (100M – 500M events/day) | Ingest massive data volumes in real-time. From millions to billions events/day. |
Extremely big data warehousing (100M – 500M events/day) | Query extremely large datasets with ease and high speed, in seconds instead of minutes. |
Vector Embedding (HTML, PDF, images) | Embed and analyze diverse data types for intelligent search & chat engine. |
Intelligent Search Engine & Chat Bot | Enhance user experience with AI-driven search and chat capabilities based on enterprise knowledge. |
Migration Data Warehouse From On-Premise To Cloud | Seamlessly migrate data warehouses to the cloud for scalability. |
Descriptive Data Analytics | Analyze historical data to understand trends and patterns through TMA ML/AI models. |
Predictive Data Analytics | Forecast future trends using advanced analytics and machine learning through TMA ML/AI models. |
Data Augmented Analytics | Leverage AI and natural languages for enhancing data analysis and decision-making. |
