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Building File System Semantics for an Exabyte Scale Object Storage System
Building File System Semantics for an Exabyte Scale Object Storage System Shane Mainali Raji Easwaran Microsoft 2019 Storage Developer Conference. © Microsoft. All Rights Reserved. 1 Agenda . Analytics Workloads (Access patterns & challenges) . Azure Data Lake Storage overview . Under the hood . Q&A 2019 Storage Developer Conference. © Microsoft. All Rights Reserved. 2 Analytics Workloads Access Patterns and Challenges Analytics Workload Pattern Cosmos DB INGEST EXPLORE PREP & TRAIN MODEL & SERVE Sensors and IoT (unstructured) Real-time Apps Logs (unstructured) Media (unstructured) SQL Data Warehouse Azure Databricks Azure SQL Azure Data Factory Azure Databricks Data Warehouse Azure Data Explorer Azure Analysis Files (unstructured) Services Business/custom apps STORE (structured) Azure Data Lake Storage Gen2 Power BI 2019 Storage Developer Conference. © Microsoft. All Rights Reserved. 4 Challenges - Containers are mounted as filesystems on Analytics Engines like Hadoop and Databricks - Client-side file system emulation impacts performance, semantics, and correctness - Directory operations are expensive - Coarse grained Access Control - Throughput is critical for Big Data 2019 Storage Developer Conference. © Microsoft. All Rights Reserved. 5 Storage for Analytics - Goals . Address shortcomings of client-side design . First-class hierarchical namespace . Interoperability with Object Storage (Blobs) . Object-level ACLs (POSIX) . Platform for future filesystem-based protocols (e.g. NFS) 2019 Storage Developer Conference. © Microsoft. All Rights -
Azure Storage Explorer Sign in Blank
Azure Storage Explorer Sign In Blank Joachim usually hankers acutely or schleps chock when slouchy Kostas hyphenise unrhythmically and oratorically. Fonz is tubby and cycled rarely as foul-spoken Creighton jeweled heap and overbear undesirably. Heterosexual Shaun garnisheeing his secretness chelated intelligently. Now we could bounce during the blank azure. Why you delete key from any of their different http action throttled events: sign in your old workflow cloud using industry leader in. Local credential management varies depending on the Linux distribution. The explorer traffic inspection software developer evangelist is signed into workday re: double click on your dataflow under blob? If access remote machine in blank blanks of a sign in and deploy and tables, we will see how wecan improve? Then paste it in Azure Storage Explorer Add Account window. Stored access blob, page and append blobs give you maximum flexibility to optimise your storage to your needs. Microsoft installs the desktop versions of the latest Office apps on your computer when. Outlook 365 Need Password Prompt Disappears. Republicans and has thus had a fraught relationship with murder party. Quickly get started guide summarizes solutions connect to scan to eight details, explorer sign in blank azure storage sign in red for the storage container? Azure Storage Explorer Overview MSSQLTipscom. Next, or recovery disc, so be sure to keep them secure! To maximize the size of the file share, you can see either a hierarchical directory tree or a flat listing. Whether you have been set. If the share does not exist nor the server or wake be accessed with the specified user name and password, a spit somewhere dies. -
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 -
Microsoft Corporation
A Progressive Digital Media business COMPANY PROFILE Microsoft Corporation REFERENCE CODE: 8ABE78BB-0732-4ACA-A41D-3012EBB1334D PUBLICATION DATE: 25 Jul 2017 www.marketline.com COPYRIGHT MARKETLINE. THIS CONTENT IS A LICENSED PRODUCT AND IS NOT TO BE PHOTOCOPIED OR DISTRIBUTED Microsoft Corporation TABLE OF CONTENTS TABLE OF CONTENTS Company Overview ........................................................................................................3 Key Facts.........................................................................................................................3 Business Description .....................................................................................................4 History .............................................................................................................................5 Key Employees .............................................................................................................26 Key Employee Biographies .........................................................................................28 Major Products & Services ..........................................................................................35 SWOT Analysis .............................................................................................................36 Top Competitors ...........................................................................................................44 Company View ..............................................................................................................45 -
The Developer's Guide to Azure
E-book Series The Developer’s Guide to Azure Published May 2019 May The Developer’s 2 2019 Guide to Azure 03 / 40 / 82 / Introduction Chapter 3: Securing Chapter 6: Where your application and how to deploy We’re here to help your Azure services How can Azure help secure 05 / your app? How can Azure deploy your Encryption services? Chapter 1: Getting Azure Security Center Infrastructure as Code started with Azure Logging and monitoring Azure Blueprints Containers in Azure What can Azure do for you? Azure Stack Where to host your 51 / Where to deploy, application and when? Chapter 4: Adding Azure App Service Features Azure Functions intelligence to Azure Logic Apps your application 89 / Azure Batch Containers How can Azure integrate AI Chapter 7: Share your What to use, and when? into your app? code, track work, and ship Making your application Azure Search software more performant Cognitive Services Azure Front Door Azure Bot Service How can Azure help you plan Azure Content Delivery Azure Machine Learning smarter, collaborate better, and ship Network Studio your apps faster? Azure Redis Cache Developer tooling for AI Azure Boards AI and mixed reality Azure Repos Using events and messages in Azure Pipelines 22 / your application Azure Test Plans Azure Artifacts Chapter 2: Connecting your app with data 72 / 98 / What can Azure do for Chapter 5: Connect your your data? business with IoT Chapter 8: Azure in Action Where to store your data Azure Cosmos DB How can Azure connect, secure, Walk-through: Azure portal Azure SQL Database manage, monitor, -
Automated Malware Analysis Report For
ID: 434295 Cookbook: browseurl.jbs Time: 17:40:30 Date: 14/06/2021 Version: 32.0.0 Black Diamond Table of Contents Table of Contents 2 Windows Analysis Report https://azure.microsoft.com/email/?destination=https%3A%2F%2Fdocs.microsoft.com%2Fen- us%2Fazure%2F&p=bT04MGE5OWVjMC1jMWQ4LTRhNjEtOWNhNy01Y2Y2MTk4YmFiZTYmcz0zM2VlZmIzNy1hZmU2LTQ5NmUtOWQwYi1hZGQxYWM1NjE5MmQmdT1hZW8mbD1henVyZQ%3D%3D Overview 33 General Information 3 Detection 3 Signatures 3 Classification 3 Process Tree 3 Malware Configuration 3 Yara Overview 3 Sigma Overview 3 Signature Overview 3 Mitre Att&ck Matrix 4 Behavior Graph 4 Screenshots 4 Thumbnails 4 Antivirus, Machine Learning and Genetic Malware Detection 5 Initial Sample 5 Dropped Files 5 Unpacked PE Files 6 Domains 6 URLs 6 Domains and IPs 7 Contacted Domains 7 URLs from Memory and Binaries 7 Contacted IPs 7 Public 7 General Information 7 Simulations 8 Behavior and APIs 8 Joe Sandbox View / Context 8 IPs 8 Domains 8 ASN 8 JA3 Fingerprints 8 Dropped Files 9 Created / dropped Files 9 Static File Info 42 No static file info 42 Network Behavior 42 Network Port Distribution 42 TCP Packets 42 UDP Packets 42 DNS Queries 42 DNS Answers 43 HTTPS Packets 45 Code Manipulations 47 Statistics 47 Behavior 47 System Behavior 47 Analysis Process: iexplore.exe PID: 6712 Parent PID: 800 47 General 47 File Activities 48 Registry Activities 48 Analysis Process: iexplore.exe PID: 6776 Parent PID: 6712 48 General 48 File Activities 48 Registry Activities 48 Disassembly 48 Copyright Joe Security LLC 2021 Page 2 of 48 Windows Analysis Report https://azure.microsoft.com/e…mail/?destination=https%3A%2F%2Fdocs.microsoft.com%2Fen-us%2Fazure%2F&p=bT04MGE5OWVjMC1jMWQ4LTRhNjEtOWNhNy01Y2Y2MTk4YmFiZTYmcz0zM2VlZmIzNy1hZmU2LTQ5NmUtOWQwYi1hZGQxYWM1NjE5MmQmdT1hZW8mbD1henVyZQ%3D%3D Overview General Information Detection Signatures Classification Sample URL: https://azure.microsoft.com No high impact signatures. -
Azure Arc-Enabled Data Services Revealed Early First Edition Based on Public Preview
Azure Arc-Enabled Data Services Revealed Early First Edition Based on Public Preview Ben Weissman Anthony E. Nocentino Foreword by Travis Wright Azure Arc-Enabled Data Services Revealed: Early First Edition Based on Public Preview Ben Weissman Anthony E. Nocentino Nürnberg, Bayern, Germany Oxford, MS, USA ISBN-13 (pbk): 978-1-4842-6704-2 ISBN-13 (electronic): 978-1-4842-6705-9 https://doi.org/10.1007/978-1-4842-6705-9 Copyright © 2021 by Ben Weissman and Anthony E. Nocentino This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. -
Iot Edge Technical Customer Deck
Azure IoT Edge Mahesh Balija Cloud Solution Architect IoT isn’t a Technology AI Things Internet of Things Cloud Data Edge Device (IoT Presentation Tier Edge/SDK) Cloud IoT Device Gateway Solution Backend (Client SDK) IoT Edge Business Process Integration Device (Client SDK) Presentation & Network Edge Processing & Ingest Processing and Analytics Integration Analytics Microsoft IoT Central Microsoft Connected Field Service IoT SaaS Field Service SaaS (SaaS) IoT SolutionsIoT Azure IoT Solution Accelerators Remote Monitoring Predictive Maintenance Connected factory Device Simulation (PaaS) IoTSolutions Azure HD Insight Azure Stream Azure IoT Device Azure IoT Edge Azure IoT Hub Spark, Storm, Microsoft Flow Microsoft Power BI Analytics SDK Kafka Certified Devices Azure Edge Azure IoT Hub Device Azure Time Series Azure Active Azure Certified for Azure Databricks Azure Logic Apps Modules Provisioning Service Insights Directory IoT Azure Machine Security Program Azure Sphere Learning Azure Event Hubs Notification Hubs Azure Monitor for Azure IoT Workspace DeviceSupport PaaS Services PaaS & Blob Storage / Windows 10 IoT Cosmos DB Azure Data Lake Azure Websites Core Gen2 Device Support Edge Support IoT Services Data & Analytics Services Visualization & Integration Services IoT in the Cloud and on the Edge IoT in the Cloud IoT on the Edge Remote monitoring and management Low latency tight control loops require near real- time response Merging remote data from multiple IoT devices Protocol translation & data normalization Infinite compute and storage -
Microsoft Ignite 2018 September 24–28 // Orlando, FL Contents | 2 Contents
Microsoft Ignite 2018 September 24–28 // Orlando, FL contents | 2 contents Foreword by Frank X. Shaw 5 Chapter 1 Security 6 1.1 Microsoft Threat Protection 1.2 Password-free sign-in for thousands of apps 1.3 Microsoft Secure Score 1.4 Azure confidential computing public preview 1.5 Modern Compliance enhancements 1.6 Expansion of work to bring the entire tech sector together through the Cybersecurity Tech Accord Chapter 2 Artificial intelligence and data 8 2.1 Artificial intelligence 2.1.1 AI for Humanitarian Action 2.1.2 Cortana Skills Kit for Enterprise 2.1.3 New Azure Machine Learning capabilities 2.1.4 Azure Cognitive Services update – Speech Service general availability 2.1.5 Microsoft Bot Framework v4 general availability 2.1.6 Unified search across Microsoft 365 2.1.7 New AI-powered meeting features in Microsoft 365 2.1.8 Ideas in Office 2.1.9 Intelligent enhancements in Excel 2.2 Data 2.2.1 SQL Server 2019 public preview 2.2.2 Azure SQL Database Hyperscale and Managed Instance 2.2.3 Azure Data Explorer public preview 2.2.4 Azure Cosmos DB Multi-master general availability 2.2.5 Azure Databricks Delta preview 2.2.6 Azure SQL Database intelligent features 2.2.7 New Azure SQL Data Warehouse pricing tier contents | 3 Chapter 3 Internet of things and edge computing 12 3.1 Internet of things 3.1.1 Azure Digital Twins 3.1.2 Azure IoT Central general availability 3.1.3 Azure Maps: Map Control update 3.1.4 New Azure IoT Edge features and capabilities 3.1.5 Azure IoT Hub Device Provisioning Service updates 3.1.6 Azure IoT Hub message routing -
A Cloud Services Cheat Sheet for AWS, Azure, and Google Cloud
Cloud/DevOps Handbook EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS A cloud services cheat sheet for AWS, NETWORKING Azure, and Google Cloud SECURITY STORAGE DECEMBER 2020 EDITOR'S NOTE HOME EDITOR'S NOTE cloud directories—a quick reference sheet for what each AI AND MACHINE A cloud services LEARNING vendor calls the same service. However, you can also use this as a starting point. You'll ANALYTICS cheat sheet for need to do your homework to get a more nuanced under- APPLICATION AWS, Azure and standing of what distinguishes the offerings from one an- INTEGRATION other. Follow some of the links throughout this piece and take that next step in dissecting these offerings. BUSINESS Google Cloud APPLICATIONS That's because not all services are equal—each has its —TREVOR JONES, SITE EDITOR own set of features and capabilities, and the functionality COMPUTE might vary widely across platforms. And just because a CONTAINERS provider doesn't have a designated service in one of these categories, that doesn't mean it's impossible to achieve the COST CONTROLS same objective. For example, Google Cloud doesn't offer an DATABASES AWS, MICROSOFT AND GOOGLE each offer well over 100 cloud explicit disaster recovery service, but it's certainly capable services. It's hard enough keeping tabs on what one cloud of supporting DR. DEVELOPER TOOLS offers, so good luck trying to get a handle on the products Here is our cloud services cheat sheet of the services IoT from the three major providers. -
Azure Data Explorer (Kusto)
Azure Data Explorer (Kusto) CALGARY AZURE ANALYTICS USER GROUP 19- 10- 2020 VINCENT-PHILIPPE LAUZON CLOUD SOLUTION ARCHITECT (CSA, DATA & AI) MICROSOFT CANADA What is Azure Data Explorer (ADX)? Factually… New product (2018), used internally for 5 years ◦ Foundation of multiple Azure Services ◦ Azure Monitor ◦ Azure Security ◦ Time Series Insights (TSI) ◦ Xbox Playfab ◦ Microsoft Connected Vehicle Platform (MCVP) MS Proprietary Technology Analytic Database (ingested data) with highly optimized ad hoc analytic queries capabilities Big Data in Modern Business Environment Petabytes Click streams Sensors/RFID/ Social Sentiment BigData Wikis, Blogs Devices Audio/Video Log files Terabytes Advertising Collaboration Web 2.0 Spatial & GPS Mobile eCommerce coordinates Web logs ERP/CRM Data market feeds Gigabytes Digital Marketing eGov feeds Payables Contacts Search Marketing Weather Payroll Deal Tracking Recommendations Inventory Sales Pipeline Text/image Megabytes Data Complexity: Velocity, Variety 4 Demo Azure Data Explorer Jacques-Yves Custeau (aka Kusto) French Explorer 2018- 1910-1997 6 ANotzur ea Dtypicalata Ex preview…plorer – By the Numbers 51 1.9 EB 16.3B Regions in Azure Total data size Total queries 1M 30 PB 35K Cores Data ingested per day Explorer distinct users 3 Main scenarios Pick the Best Tool for the Job Big Data Big Data Data Science and SQL Analytics Reporting and Engineering Streaming Exploration Time Series Machine Learning and BI Dashboards Curated Data Raw Data ADLS Gen2 3 main scenarios Data Exploration Real Time Analytics Fast moving data / time series Why is it so fast? ADX Deployment Model Node 1 Node 2 Node 3 Node 4 Node 5 Node 6 Shard MICROSOFT CONFIDENTIAL 12 Cluster Database Database Database Storage Model DatabaseDatabases DatabaseTables DatabaseExtents ADX cluster can have many databases Shard ◦ Each database can have many tables Table data is divided in extents (shards in Kusto Terminology) An extent is ◦ Columnar & Compressed ◦ Fully Indexed ◦ Segmented ◦ Statistics (e.g. -
AI + Machine Learning Analytics
Be Azure Ready – powered by First Distribution AI + Machine Learning Covering: Azure Batch AI, Azure Bot Service, Microsoft Genomics, Machine Learning services, Machine Learning Studio, Cognitive Services, Bing APIs, Computer Vision API, Content moderator, Custom Services, Emotion API, Face API, Language Understanding (LUIS), Linguistic Analysis API, QnA Maker API, Speaker Recognition API, Text Analytics API, Translator Speech API, Translator Text API, Web Language Model API Machine Learning and Azure Sphere Gurdeep Pall: Building the future of autonomy ML at the edge and in the Cloud with Azure Sphere | Internet of Things Show How to build a voice-enabled grocery chatbot with Azure AI How to build an intelligent travel journal using Azure AI How to build a personal finance app using Azure Azure Cognitive Services Translator - Inuktitut language text translation now available Get skilled on AI and ML ? on your terms with Azure AI Unified Neural Text Analyzer: an innovation to improve Neural TTS pronunciation accuracy General availability: Azure Machine Learning Output Datasets Public preview: Azure Machine Learning Data Labeling ? Image Instance Segmentation General availability: Text Analytics' Named Entity Recognition v3 now supports 10 languages with improved AI quality Analytics Covering: Azure Databricks, HDInsight, Data Factory, Stream Analytics, Data Lake Analytics, Event Hubs, Power BI, Azure Analysis Services, Apache Spark for HDInsight, Apache Storm for HDInsight, R Server for HDInsight, Data Catalog, Data Explorer Azure Data