Data Services
About This Document
This visual summary from Growth Acceleration Partners (GAP) outlines their Data Services, including Data Engineering, Data Science, Data as a Product, Machine Learning & AI, Large Language Models, Business Intelligence, Quality Engineering, and IoT & Connected Devices. The services cover a wide range of technologies and methodologies such as SQL, Python, AWS, Azure, Tensorflow, Pytorch, and more. GAP’s data services aim to provide comprehensive support for data management, analysis, and optimization.
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Data Engineering
- SQL
- MongoDB
- AWS DynamoDB
- AWS S3
- Azure Data Lake
- Azure Cosmos
- SSIS
- SQL Server
- Pentaho
Data Science
- Python
- R
- Jupyter
- Pandas
- Tensorflow
- Pytorch
- AWS SageMaker
- Transformers
- H20
- Langchain
Data as a Product
- Snowflake
- Databricks
- Hadoop
- Spark
- AWS Redshift
- AWS Kinesis
- AWS Glue
Machine Learning & AI
- Python
- R
- Jupyter
- Pandas
- Tensorflow
- Pytorch
- AWS SageMaker
- Transformers
- H20
- Langchain
Large Language Models
- Python
- R
- Jupyter
- Pandas
- Tensorflow
- Pytorch
- AWS SageMaker
- Transformers
- H20
- Langchain
Business Intelligence
- PowerBI
- Tableau
- AWS Quicksight
- Looker Studio
Quality Engineering
- Jira
- SQL
- Postman
- Browserstack
- Saucelabs
- TestRail
- Zephyr
IoT & Connected Devices
- Particle IoT Platform
- AWS IoT
- Azure IoT
- Node-red IoT
- iBeacon
- Zigbee
- LoRaWAN
- MQTT
- BLE