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Azure Data Explorer Take Action on Details That Differentiate Your Business Real-Time Interactive Analytics with Azure Data Explorer Take action on details that differentiate your business Why are these Why aren’t visitors customers abandoning clicking on this their shopping Who are my What is content? carts? most impacting dissatisfied production users? quality? Understand Discover the WHY emergent behind the behaviors and Discover WHAT Understand trends unexpected patterns in my patterns that service deeply can inspire new ideas © Microsoft Corporation Real-Time Analytics Use Cases Retail Financial Oil/Gas & Energy Security Consumer Engagement Risk And Revenue Management Grid Ops, Asset Optimization Signal correlation Pricing optimization, IoT Risk And Fraud, Due Industrial IoT Security Intelligence, Threat diligence, Audit detection Healthcare Advertising Media Entertainment Automotive Sensor Data Recommendation Engine Consumer Engagement Analysis Manufacturing, AI Iot device Personalized offers, Sentiment Analysis, Content Connected cars, Fleet Analytics campaign management recommendation management Azure Powered Pattern For Real-Time Analytics Streaming Data Continuous/ Streaming Alerts and actions real-time analytics Real-time apps Logs, Files, Media Real-time dashboards Customer On-demand dashboards sentiment data On-demand/ Interactive real-time analytics Data warehousing Weather data Batch and ML training Storage / archival Business Applications Azure Data Explorer Interactive analytics service for fast flowing data Cuts down time- Fully managed Enables data- to-insight driven culture Get real-time insights Proven intuitive and easy PaaS, Autoscale and from fast-flowing data maintenance free indexing to use query language Proven Technology In production since 2015 for internal Microsoft workload, GA since Feb 2019. Battle tested for Microsoft The platform for analytical Available as PaaS internal workload solutions (SaaS) Azure Monitor Security Products IoT Gaming #PoweredByADX Common Use Cases Time Series, Logs, Events, Transactions Data analytics platform • Consolidate and correlate your logs and events data across on-prem, cloud, 3rd party • Replace legacy log search solutions - save cost, infra, and index management overhead • Accelerate your AI Ops journey (pattern recognition, anomaly detection, forecasting, etc.) • IoT Analytics on Time Series and Telemetry data • Replace HBase and Time Series databases Build Analytical SaaS Solutions • Build multi-tenant or single tenant SaaS analytics solution for Time Series, Logs, Events, Transactions, and security data Analytic sandboxes • Short term adhoc exploratory analysis Where will you fit ADX in Data Lake and Analytics? Cached and Indexed data for fast interactive query • Moving window of data (days to months) Logs (unstructured) • Real-time, cached and indexed data for faster interactive query over billions of records Event Hub Azure Data Explorer Media (unstructured) Azure Data Lake IoT Hub Storage Files (unstructured) Kafka Azure Databricks Azure HDInsight Business/custom apps Azure Data Factory Azure SQL Data Azure Analysis Power BI (structured) Warehouse Services Integration: Streaming Ingestion Land your data in ADX and then export to the data lake • Moving window of data (days to months) Logs (unstructured) Streaming • Real-time, cached and indexed data for faster interactive query over billions of records Event Hub Azure Data Explorer Export to Data Lake Media (unstructured) Azure Data Lake IoT Hub Storage Files (unstructured) Kafka Azure Databricks Azure HDInsight Business/custom apps Azure Data Factory Azure SQL Data Azure Analysis Power BI (structured) Warehouse Services Integration: Batch Ingestion Ingest data from Data Lake or other sources in batch mode • Moving window of data (days to months) Logs (unstructured) • Real-time, cached and indexed data for faster interactive query over billions of records Event Hub Azure Data Explorer Ingest from Data Lake Media (unstructured) Azure Data Lake IoT Hub Storage Files (unstructured) Kafka Azure Databricks Azure HDInsight Business/custom apps Azure Data Factory Azure SQL Data Azure Analysis Power BI (structured) Warehouse Services Demo Comprehensive Strength • Metrics and time-series data Azure Data Explorer • Text search and text analytics Architecture • Multi-dimensional/relational analysis Analytics Query language • Simple and powerful • Publicly available • Data Exploration • Rich relational query language Create and manage • Full text Search Compute • ML Extensibility High performance • Scale out in hardware IoT Hub Data Management Engine • Scale out across geos Event Hub • Granular resource utilization Control Persistent Store • Cross cluster queries Ingest Data Ingestion & Management • Low Latency ingestion • Schema management Export and External Tables • Compression and indexing • Retention - hot/cold configuration • Export and Data lake integration Advanced Analytics Built-in and Extensible Out of the box Distributed Custom Code Execution • Auto Clustering • Distributed Python and R execution • Anomaly Detection • Regression • Forecasting • More… Spark Integration Tools • Native Spark connector for heavy duty model training • Jypyter Integration with KQL Magic • Operationalize model into ADX for scoring • Python, Java SDKs © Microsoft Corporation Data Sharing Azure Data Share Share data within the company ✓ In-Place Data Sharing • Load balancing • Data-as-a-service ✓ No data pipeline to maintain • Chargeback Share data with partners ✓ Near-real-time updates • Data sharing in near-real-time Share data with customers • Data sharing in near-real-time • Extend your business model © Microsoft Corporation Pricing Flexible Cost Reserved resources cost model Four main components • Compute – hourly billing • Dedicated capacity • Storage & Transactions – used for persistent store, • Reserved instance pricing available compressed data (typical 6x compression) • Network • Markup/IP cost of using the PaaS Service – hourly billing based on the compute usage Advantages of this model • Freely explore your data - not bound by cost per query Wide range of options • Predictable cost • CPU optimized and Storage optimized SKUs • Decoupled storage and compute • Dev/Test SKU under $200/month • Easy to switch between SKUs after provisioning • PROD SKUs starting around $600/month • Ability to Start/Stop the compute © Microsoft Corporation http://aka.ms/adx.cost Enterprise Ready Mission critical ✓ Azure Active Directory Integration ✓ Availability Zones ✓ Role based authorization ✓ Auto Scale-Up/In ✓ Virtual Network Support ✓ Globally available ✓ Encryption at Rest ✓ CI/CD Integration ✓ Encryption in Transit (https) ✓ Automated provisioning ✓ Bring Your Own Keys ✓ Monitoring © Microsoft Corporation Azure Data Explorer – The platform for Analytical SaaS Customer Azure Monitor Azure Security * Industrial IoT - Time Series Xbox Playfab MCVP Need Insights - A fit for Lead with Azure Monitor Log Lead with the Microsoft Lead with TSI when the customer Lead with Playfab when Lead with MCVP for purpose end Analytics and Application insights security solutions like needs an end-end-end solution for the customer needs full connected cars E2E fit to end when the customer needs an E2E Windows Defender Advanced Industrial IoT analytics that offers: platform for game for purpose solution solution. solution for IT infrastructure, services Threat protection, Azure a. IoT-optimized, turnkey, PAYG, development including and platform and applications monitoring and Security Center and azure serverless platform game analytics and analytics. Security Insights when the b. Rich semantic modeling for data exchange a. App and infra monitoring models customer needs a security contextualization of time series and knowledge OOB solution data b. Full multitenant monitoring a. Security knowledge c. Asset-based analytics user experience with alert, dashboards applied out of the box experience for discovery, c. Smart analytics for monitoring b. Automatic remediation, trending, anomaly detection d. Solution framework for specific protection and operational intelligence more knowledge domains c. Powerful analytics e. Powerful analytics capabilities of capabilities of KQL over KQL over time series and time series and telemetry telemetry data data A flexible Recommend ADX when the customer is building their own analytics solution or platform and needs: platform to a. Full control of data sources, data schema and data management build custom b. Powerful analytics capabilities of KQL over time series and telemetry data analytical c. Reserved resources cost model solutions. Next steps Visit the Azure Data Explorer product page to learn more Access documentation, quick starts, and tutorials Find pricing information and cost calculator for Azure Data Explorer Get started with Azure Data Explorer now © Microsoft Corporation.
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