Unified Data Analytics: Helping Data Teams Solve the World’s Toughest Problems
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The document discusses the challenges organizations face in leveraging data science and machine learning to solve complex problems due to data silos, unreliable data pipelines, and fragmented technology stacks. It highlights the importance of unified data services, high-quality data, and collaborative platforms like Databricks to accelerate data-driven innovation. By addressing these issues, organizations can better unlock business value and tackle significant challenges such as healthcare, fraud prevention, and environmental sustainability.
Unified Data Analytics: Helping Data Teams Solve the World’s Toughest Problems
- 1. WELCOME
- 4. Data has the potential to solve the world’s toughest problems
- 5. DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING Tough Problems What does it take to solve these problems with data? DATA
- 6. DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDES KEY/VALUE Azure Machine Learning AWS SageMaker DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING DATA LAKES Azure Blob | AWS S3 | HDFS STREAMS Kafka | Azure Event Hub | AWS Kinesis NoSQL Mongo | AWS DynamoDB | Azure Cosmos Organizations are failing to solve these problems due to data, tech and people silos
- 7. DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDES KEY/VALUE Azure Machine Learning AWS SageMaker Why do organizations fail to unlock business value? DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING Data quality and reliability Multiple copies of inconsistent data built with unreliable pipelines DATA LAKES Azure Blob | AWS S3 | HDFS STREAMS Kafka | Azure Event Hub | AWS Kinesis NoSQL Mongo | AWS DynamoDB | Azure Cosmos
- 8. DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING Data quality and reliability Multiple copies of inconsistent data built with unreliable pipelines DATA LAKES Azure Blob | AWS S3 | HDFS STREAMS Kafka | Azure Event Hub | AWS Kinesis NoSQL Mongo | AWS DynamoDB | Azure Cosmos Why do organizations fail to unlock business value? DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDES KEY/VALUE Azure Machine Learning AWS SageMaker Disparate technologies Must stitch together dozens of software frameworks
- 9. DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDES KEY/VALUE Azure Machine Learning AWS SageMaker Data quality and reliability Multiple copies of inconsistent data built with unreliable pipelines Disparate technologies Must stitch together dozens of software frameworks Fragmented security End-to-end security and enterprise SLAs are a nightmare DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING DATA LAKES Azure Blob | AWS S3 | HDFS STREAMS Kafka | Azure Event Hub | AWS Kinesis NoSQL Mongo | AWS DynamoDB | Azure Cosmos Why do organizations fail to unlock business value?
- 10. DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING Databricks accelerates data-driven innovation DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDES KEY/VALUE Azure Machine Learning AWS SageMaker VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS KEY/VALUE High quality data with great performance UNIFIED DATA SERVICE STREAMS Kafka | Azure Event Hub | AWS Kinesis Cloud Data Lake (Azure ADLS & AWS S3) NoSQL Mongo | AWS DynamoDB | Azure Cosmos ACID transactions on data lakes reliable, high quality, performant data, mixing streaming and batch
- 11. DATA-MARTS VALIDATION DATA WAREHOUSE TABLES TALENDETL INFORMATICA ETL DATA STORE STREAM BATCH REPROCESSING UPDATE AND MERGE JOBS EXPERIMENT TRACKING MODEL MANAGEMENT PRODUCTION DEPLOYMENT NOTEBOOKS & IDE”S KEY/VALUE Azure Machine Learning AWS SageMaker DATA SCIENCE WORKSPACE ML Runtime DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING High quality data with great performance UNIFIED DATA SERVICE STREAMS Kafka | Azure Event Hub | AWS Kinesis Cloud Data Lake (Azure ADLS & AWS S3) NoSQL Mongo | AWS DynamoDB | Azure Cosmos Databricks accelerates data-driven innovation BI INTEGRATIONS Access all your data Notebooks ACID transactions on data lakes reliable, high quality, performant data, mixing streaming and batch Hosted notebooks, ML runtime, MLflow collaborative platform for data teams across the full product lifecycle
- 12. Managed enterprise cloud service End-to-end security, SLAs, and administration ACID transactions on data lakes reliable, high quality, performant data, mixing streaming and batch Hosted notebooks, ML runtime, MLflow collaborative platform for data teams across the full product lifecycle DATA SCIENCE AND MACHINE LEARNING BUSINESS ANALYTICS AND REPORTING ENTERPRISE CLOUD SERVICE Enterprise Security Simple Administration Production Scale BI INTEGRATIONS Access all your data ML Runtime High quality data with great performance UNIFIED DATA SERVICE Databricks accelerates data-driven innovation Notebooks DATA SCIENCE WORKSPACE
- 13. Unify people, data, and AI to solve the world’s toughest problems AI PeopleData Solving the world’s toughest problems
- 14. Saving lives Curing chronic liver disease with genomics
- 15. Combatting fraud Protecting the largest security markets
- 16. Conserving the planet Smart consumption of home energy