Power your entire data estate with SQL Server 2017 and Azure Data Services
Data Sources
Azure Data Services has a variety of data management and analytics tools for all your data needs. It can store structured and unstructured data, whether it’s born in the cloud like sensor and social, or perhaps different data altogether like media.
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Data Management
Azure SQL Database is the cloud answer to managing your operational data, with the ability to achieve infinite scale. It’s built on SQL Server, so your existing applications and skills transfer. And as a managed database service, it can save you time and money in both set-up and administration.
Azure Cosmos DB is a database designed for modern mobile and web applications. It is also a database-as-a-service, fully managed by Microsoft Azure. Azure Cosmos DB delivers consistently fast reads and writes, schema flexibility, and the ability to easily scale a database up and down on demand
Azure SQL Data Warehouse is the industry’s first enterprise-class cloud data warehouse that can grow, shrink, and pause in seconds. Based on the proven SQL Server relational database engine, it gives petabyte scalability with massive parallel-processing architecture that enables distributed processing to handle the rigors of modern data realities. It independently scales compute and storage in seconds.
SQL Data Warehouse works seamlessly with Power BI, Azure Machine Learning, HDInsight, and Azure Data Factory.
Azure Data Lake - Offers data management and analytics at scale to customers, as Azure Data Lake. It is composed of three parts: Azure Data Lake Store, Azure Data Lake Analytics, and HD Insight. Together with these products, you can store big data of any size and type, and analyze it with familiar open-source tools – all while getting a leading, enterprise-class SLA.
Power your entire data estate with SQL Server 2017 and Azure Data Services
Data Sources
Azure Data Services has a variety of data management and analytics tools for all your data needs. It can store structured and unstructured data, whether it’s born in the cloud like sensor and social, or perhaps different data altogether like media.
<click>
Data Management
Azure SQL Database is the cloud answer to managing your operational data, with the ability to achieve infinite scale. It’s built on SQL Server, so your existing applications and skills transfer. And as a managed database service, it can save you time and money in both set-up and administration.
Azure Cosmos DB is a database designed for modern mobile and web applications. It is also a database-as-a-service, fully managed by Microsoft Azure. Azure Cosmos DB delivers consistently fast reads and writes, schema flexibility, and the ability to easily scale a database up and down on demand
Azure SQL Data Warehouse is the industry’s first enterprise-class cloud data warehouse that can grow, shrink, and pause in seconds. Based on the proven SQL Server relational database engine, it gives petabyte scalability with massive parallel-processing architecture that enables distributed processing to handle the rigors of modern data realities. It independently scales compute and storage in seconds.
SQL Data Warehouse works seamlessly with Power BI, Azure Machine Learning, HDInsight, and Azure Data Factory.
Azure Data Lake - Offers data management and analytics at scale to customers, as Azure Data Lake. It is composed of three parts: Azure Data Lake Store, Azure Data Lake Analytics, and HD Insight. Together with these products, you can store big data of any size and type, and analyze it with familiar open-source tools – all while getting a leading, enterprise-class SLA.
Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...Impetus Technologies
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake.
Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads.
Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today.
In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable.
The following scenarios will be covered:
On-Prem
Data quality and ETL with Apache Spark using pre-built operators
Advanced monitoring of Spark pipelines
On Cloud
Visual interactive development of Apache Spark Structured Streaming pipelines
IoT use-case with event-time, late-arrival and watermarks
Python based predictive analytics running on Spark
EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads Srikanth Ramakrishnan
Born in HP Labs, EsgynDB is an open sourced All-in-One SQL DB Engine for Hadoop. It is the only platform which provides mixed workloads (Real-Time Operational Reporting, Analytics and Transactions) with high performance and concurrency.
EsgynDB gives you the ease and security of traditional (R)DBMS and the cost-effective scale of Hadoop.
Data Amp South Africa - SQL Server 2017Travis Wright
Roadmap deck showing the newest capabilities of SQL Server 2017 including SQL Server on Linux, R/Python services, graph, adaptive query processing as well as new Azure services like Cosmos DB and Azure Database for PostgreSQL and MySQL.
Vision presentation for the Data Amp event in Johannesburg, South Africa. Discusses Microsoft data platform strategy to be the most intelligent, trusted, and flexible data platform.
Slides from the live Webiner: Industry Experts Examine the State of Databases
451 Research analyst, Matt Aslett, discusses the state of the next-generation database market, the various categories of DBMS being offered on his database landscape map, and how to get a leg up on competitors with the best use cases for each of these categories.
Aslett and NuoDB CTO, Seth Proctor, visit a growing trend of “back to SQL” and what each of them believes lies ahead for in the data management marketplace.
Power your entire data estate with SQL Server 2017 and Azure Data Services
Data Sources
Azure Data Services has a variety of data management and analytics tools for all your data needs. It can store structured and unstructured data, whether it’s born in the cloud like sensor and social, or perhaps different data altogether like media.
<click>
Data Management
Azure SQL Database is the cloud answer to managing your operational data, with the ability to achieve infinite scale. It’s built on SQL Server, so your existing applications and skills transfer. And as a managed database service, it can save you time and money in both set-up and administration.
Azure Cosmos DB is a database designed for modern mobile and web applications. It is also a database-as-a-service, fully managed by Microsoft Azure. Azure Cosmos DB delivers consistently fast reads and writes, schema flexibility, and the ability to easily scale a database up and down on demand
Azure SQL Data Warehouse is the industry’s first enterprise-class cloud data warehouse that can grow, shrink, and pause in seconds. Based on the proven SQL Server relational database engine, it gives petabyte scalability with massive parallel-processing architecture that enables distributed processing to handle the rigors of modern data realities. It independently scales compute and storage in seconds.
SQL Data Warehouse works seamlessly with Power BI, Azure Machine Learning, HDInsight, and Azure Data Factory.
Azure Data Lake - Offers data management and analytics at scale to customers, as Azure Data Lake. It is composed of three parts: Azure Data Lake Store, Azure Data Lake Analytics, and HD Insight. Together with these products, you can store big data of any size and type, and analyze it with familiar open-source tools – all while getting a leading, enterprise-class SLA.
Apache Spark – The New Enterprise Backbone for ETL, Batch Processing and Real...Impetus Technologies
In spite of investments in big data lakes, there is wide use of expensive proprietary products for data ingestion, integration, and transformation (ETL) while bringing and processing data on the lake.
Enterprises have successfully tested Apache Spark for its versatility and strengths as a distributed computing framework that can completely handle all needs for data processing, analytics, and machine learning workloads.
Since the Hadoop distributions and the public cloud already include Apache Spark, there is nothing new to be procured. However, the skills required to put Spark to good use are typically unavailable today.
In this webinar, we will discuss how Apache Spark can be an inexpensive enterprise backbone for all types of data processing workloads. We will also demo how a visual framework on top of Apache Spark makes it much more viable.
The following scenarios will be covered:
On-Prem
Data quality and ETL with Apache Spark using pre-built operators
Advanced monitoring of Spark pipelines
On Cloud
Visual interactive development of Apache Spark Structured Streaming pipelines
IoT use-case with event-time, late-arrival and watermarks
Python based predictive analytics running on Spark
EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads Srikanth Ramakrishnan
Born in HP Labs, EsgynDB is an open sourced All-in-One SQL DB Engine for Hadoop. It is the only platform which provides mixed workloads (Real-Time Operational Reporting, Analytics and Transactions) with high performance and concurrency.
EsgynDB gives you the ease and security of traditional (R)DBMS and the cost-effective scale of Hadoop.
Data Amp South Africa - SQL Server 2017Travis Wright
Roadmap deck showing the newest capabilities of SQL Server 2017 including SQL Server on Linux, R/Python services, graph, adaptive query processing as well as new Azure services like Cosmos DB and Azure Database for PostgreSQL and MySQL.
Vision presentation for the Data Amp event in Johannesburg, South Africa. Discusses Microsoft data platform strategy to be the most intelligent, trusted, and flexible data platform.
Slides from the live Webiner: Industry Experts Examine the State of Databases
451 Research analyst, Matt Aslett, discusses the state of the next-generation database market, the various categories of DBMS being offered on his database landscape map, and how to get a leg up on competitors with the best use cases for each of these categories.
Aslett and NuoDB CTO, Seth Proctor, visit a growing trend of “back to SQL” and what each of them believes lies ahead for in the data management marketplace.
Big SQL: Powerful SQL Optimization - Re-Imagined for open sourceDataWorks Summit
Let's be honest - there are some pretty amazing capabilities locked in proprietary SQL engines which have had decades of R&D baked into them. At this session, learn how IBM, working with the Apache community, has unlocked the value of their SQL optimizer for Hive, HBase, ObjectStore, and Spark - helping customers avoid lock-in while providing best performance, concurrency and scalability for complex, analytical SQL workloads. You'll also learn how the SQL engine was extended and integrated with Ambari, Ranger, YARN/Slider and HBase. We share the results of this project which has enabled running all 99 TPC-DS queries at world record breaking 100TB scale factor.
SplunkLive! Amsterdam 2015 Breakout - Getting Started with SplunkSplunk
What is Splunk? At the end of this session you’ll have a high-level understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of big data. You’ll see practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
Big Data Taiwan 2014 Track2-2: Informatica Big Data SolutionEtu Solution
講者:Informatica 資深產品顧問 | 尹寒柏
議題簡介:Big Data 時代,比的不是數據數量,而是了解數據的深度。現在,因為 Big Data 技術的成熟,讓非資訊背景的 CXO 們,可以讓過去像是專有名詞的 CI (Customer Intelligence) 變成動詞,從 BI 進入 CI,更連結消費者經濟的脈動,洞悉顧客的意圖。不過,有個 Big Data 時代要 注意的思維,那就是競爭到最後,不單只是看數據量的增長,還要比誰能更了解數據的深度。而 Informatica 正是這個最佳解決的答案。我們透過 Informatica 解決在企業及時提供可信賴數據的巨大壓力;同時隨著日益增高的數據量和複雜程度,Informatica 也有能力提供更快速彙集數據技術,從而讓數據變的有意義並可供企業用來促進效率提升、完善品質、保證確定性和發揮優勢的功能。Inforamtica 提供了更為快速有效地實現此目標的方案,是精誠集團在 Big Data 時代的最佳工具。
Webinar - DataStax Enterprise 5.1: 3X the operational analytics speed, help f...DataStax
Let’s get up close with the latest and greatest in DataStax Enterprise. Find out everything you need to know about the latest features, as we dive into the launch of DataStax Enterprise 5.1, OpsCenter 6.1 and Studio 2.0.
View recording: https://youtu.be/Vhu6ZkQUR0M
Explore all DataStax webinars: http://www.datastax.com/resources/webinars
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
Part 1 of a conference workshop. This forms the morning session, which looks at moving from Business Intelligence to Analytics.
Topics Covered: Azure Data Explorer, Azure Data Factory, Azure Synapse Analytics, Event Hubs, HDInsight, Big Data
Extreme Sports & Beyond: Exploring a new frontier in data with GoProCloudera, Inc.
GoPro is a powerful global brand, thanks in large part to its innovative cameras and accessories that capture moments other cameras just miss: surfing in Maui, skiing in Tahoe, recording your child’s first steps. And today, the company is nearly as well known for its user-generated social and content networks.
Join us for this special webinar hosted by Tableau, Trifacta, and Cloudera—featuring GoPro. We’ll dive into GoPro’s data strategy and architecture, from ingest and processing to data prep and reporting, all on AWS.
Business Growth Is Fueled By Your Event-Centric Digital Strategyzitipoff
Business Growth Is Fueled By Your Event-Centric Digital Strategy. EDA Event-Driven Architecture. Technologies discussed include Kafka / Apache Kafka, Spark / Apache Spark, Big Data, Personalization & Cassandra. By Walid Aly-Hassan Consultant @ TalentEinstein.com
Part 1: Lambda Architectures: Simplified by Apache KuduCloudera, Inc.
3 Things to Learn About:
* The concept of lambda architectures
* The Hadoop ecosystem components involved in lambda architectures
* The advantages and disadvantages of lambda architectures
Big SQL: Powerful SQL Optimization - Re-Imagined for open sourceDataWorks Summit
Let's be honest - there are some pretty amazing capabilities locked in proprietary SQL engines which have had decades of R&D baked into them. At this session, learn how IBM, working with the Apache community, has unlocked the value of their SQL optimizer for Hive, HBase, ObjectStore, and Spark - helping customers avoid lock-in while providing best performance, concurrency and scalability for complex, analytical SQL workloads. You'll also learn how the SQL engine was extended and integrated with Ambari, Ranger, YARN/Slider and HBase. We share the results of this project which has enabled running all 99 TPC-DS queries at world record breaking 100TB scale factor.
SplunkLive! Amsterdam 2015 Breakout - Getting Started with SplunkSplunk
What is Splunk? At the end of this session you’ll have a high-level understanding of the pieces that make up the Splunk Platform, how it works, and how it fits in the landscape of big data. You’ll see practical examples that differentiate Splunk while demonstrating how to gain quick time to value.
Big Data Taiwan 2014 Track2-2: Informatica Big Data SolutionEtu Solution
講者:Informatica 資深產品顧問 | 尹寒柏
議題簡介:Big Data 時代,比的不是數據數量,而是了解數據的深度。現在,因為 Big Data 技術的成熟,讓非資訊背景的 CXO 們,可以讓過去像是專有名詞的 CI (Customer Intelligence) 變成動詞,從 BI 進入 CI,更連結消費者經濟的脈動,洞悉顧客的意圖。不過,有個 Big Data 時代要 注意的思維,那就是競爭到最後,不單只是看數據量的增長,還要比誰能更了解數據的深度。而 Informatica 正是這個最佳解決的答案。我們透過 Informatica 解決在企業及時提供可信賴數據的巨大壓力;同時隨著日益增高的數據量和複雜程度,Informatica 也有能力提供更快速彙集數據技術,從而讓數據變的有意義並可供企業用來促進效率提升、完善品質、保證確定性和發揮優勢的功能。Inforamtica 提供了更為快速有效地實現此目標的方案,是精誠集團在 Big Data 時代的最佳工具。
Webinar - DataStax Enterprise 5.1: 3X the operational analytics speed, help f...DataStax
Let’s get up close with the latest and greatest in DataStax Enterprise. Find out everything you need to know about the latest features, as we dive into the launch of DataStax Enterprise 5.1, OpsCenter 6.1 and Studio 2.0.
View recording: https://youtu.be/Vhu6ZkQUR0M
Explore all DataStax webinars: http://www.datastax.com/resources/webinars
Simplifying Real-Time Architectures for IoT with Apache KuduCloudera, Inc.
3 Things to Learn About:
*Building scalable real time architectures for managing data from IoT
*Processing data in real time with components such as Kudu & Spark
*Customer case studies highlighting real-time IoT use cases
1 Introduction to Microsoft data platform analytics for releaseJen Stirrup
Part 1 of a conference workshop. This forms the morning session, which looks at moving from Business Intelligence to Analytics.
Topics Covered: Azure Data Explorer, Azure Data Factory, Azure Synapse Analytics, Event Hubs, HDInsight, Big Data
Extreme Sports & Beyond: Exploring a new frontier in data with GoProCloudera, Inc.
GoPro is a powerful global brand, thanks in large part to its innovative cameras and accessories that capture moments other cameras just miss: surfing in Maui, skiing in Tahoe, recording your child’s first steps. And today, the company is nearly as well known for its user-generated social and content networks.
Join us for this special webinar hosted by Tableau, Trifacta, and Cloudera—featuring GoPro. We’ll dive into GoPro’s data strategy and architecture, from ingest and processing to data prep and reporting, all on AWS.
Business Growth Is Fueled By Your Event-Centric Digital Strategyzitipoff
Business Growth Is Fueled By Your Event-Centric Digital Strategy. EDA Event-Driven Architecture. Technologies discussed include Kafka / Apache Kafka, Spark / Apache Spark, Big Data, Personalization & Cassandra. By Walid Aly-Hassan Consultant @ TalentEinstein.com
Part 1: Lambda Architectures: Simplified by Apache KuduCloudera, Inc.
3 Things to Learn About:
* The concept of lambda architectures
* The Hadoop ecosystem components involved in lambda architectures
* The advantages and disadvantages of lambda architectures
Customer migration to Azure SQL database, December 2019George Walters
This is a real life story on how a software as a service application moved to the cloud, to azure, over a period of two years. We discuss migration, business drivers, technology, and how it got done. We talk through more modern ways to refactor or change code to get into the cloud nowadays.
Ready for take-off - How to get your databases into the cloudAndre Essing
"Cloud: the next frontier.
These are the voyages of enterprise databases. Their mission: to move all its data to the cloud; to help administrators and developers build stable and scaling applications; to empower every organization on the planet to achieve more."
In this talk, we will have a look at how to get your databases into the cloud. What are the possibilities? Which effort is needed? And even how to get the data movement started.
Sit back and enjoy the safe and smooth journey of your databases to the cloud.
AWS reInvent 2023 recaps from Chicago AWS user groupAWS Chicago
Chicago AWS Solutions Architect Scott Hewitt recaps the non-GenAI updates from AWS re:Invent 2023. Updates range from storage, networking, compute and developer tools.
The Hive Think Tank - The Microsoft Big Data Stack by Raghu Ramakrishnan, CTO...The Hive
Until recently, data was gathered for well-defined objectives such as auditing, forensics, reporting and line-of-business operations; now, exploratory and predictive analysis is becoming ubiquitous, and the default increasingly is to capture and store any and all data, in anticipation of potential future strategic value. These differences in data heterogeneity, scale and usage are leading to a new generation of data management and analytic systems, where the emphasis is on supporting a wide range of very large datasets that are stored uniformly and analyzed seamlessly using whatever techniques are most appropriate, including traditional tools like SQL and BI and newer tools, e.g., for machine learning and stream analytics. These new systems are necessarily based on scale-out architectures for both storage and computation.
Hadoop has become a key building block in the new generation of scale-out systems. On the storage side, HDFS has provided a cost-effective and scalable substrate for storing large heterogeneous datasets. However, as key customer and systems touch points are instrumented to log data, and Internet of Things applications become common, data in the enterprise is growing at a staggering pace, and the need to leverage different storage tiers (ranging from tape to main memory) is posing new challenges, leading to caching technologies, such as Spark. On the analytics side, the emergence of resource managers such as YARN has opened the door for analytics tools to bypass the Map-Reduce layer and directly exploit shared system resources while computing close to data copies. This trend is especially significant for iterative computations such as graph analytics and machine learning, for which Map-Reduce is widely recognized to be a poor fit.
While Hadoop is widely recognized and used externally, Microsoft has long been at the forefront of Big Data analytics, with Cosmos and Scope supporting all internal customers. These internal services are a key part of our strategy going forward, and are enabling new state of the art external-facing services such as Azure Data Lake and more. I will examine these trends, and ground the talk by discussing the Microsoft Big Data stack.
Customer migration to azure sql database from on-premises SQL, for a SaaS app...George Walters
Why would someone take a working on-premises SaaS infrastructure, and migrate it to Azure? We review the technology decisions behind this conversion, and business choices behind migrating to Azure. The SQL 2012 infrastructure and application was migrated to PaaS Services. Finally, how would we do this architecture in 2019.
Microsoft Teams Phone
Stay connected with voice and video calling using Microsoft Teams Phone on your computer, tablet, mobile device, or desk phone.
Stay connected with a modern calling solution
Make and receive voice and video calls directly in Microsoft Teams. Stay in touch and get more done anywhere.
Calling in the flow of work
Work smarter with an all-in-one app that brings together calling, chat, meetings, and collaboration.
Business-critical calling
Use built-in, innovative, and AI-powered calling experiences and integrated partner software solutions.
Devices for any calling scenario
Benefit from a wide portfolio of devices for any business need and get flexible financing options.
Simple set up and management
Easily add, monitor, and manage voice and video calling from the Teams admin center.
Microsoft Teams Phone with Calling Plan includes:
Cloud-based phone system with advanced features including call transfer, multilevel auto attendants, and call queues.
A domestic calling plan with 3,000 minutes2 per user, per month within the US and Canada.
Call from anywhere, on any device through the Microsoft Teams app on desktop, mobile, web, and desk phones.
Around-the-clock customer support seven days a week, backed by Microsoft.
Teams Phone with Calling Plan requires a Microsoft 365 subscription that includes Microsoft Teams
Microsoft Teams
Built for hybrid work
Feel seen and heard no matter where you are and do your best work, your way.
Empower people and teams in a hybrid work world
Flexible work is here to stay, and embracing it is critical to your future success. The latest tools from Microsoft empower hybrid work environments and enable flexible work beyond organizational boundaries.
Whats New in Microsoft Teams Hybrid Meetings November 2021David J Rosenthal
Microsoft Teams
Built for hybrid work
Feel seen and heard no matter where you are and do your best work, your way.
Empower people and teams in a hybrid work world
Flexible work is here to stay, and embracing it is critical to your future success. The latest tools from Microsoft empower hybrid work environments and enable flexible work beyond organizational boundaries.
Microsoft Viva Connections
A curated, company-branded experience that brings together relevant news, conversations, and resources in the apps and devices you use every day. Viva Connections is included in all Microsoft 365 plans with SharePoint Online.
Create connection
Encourage meaningful connections across the organization in a hybrid workplace.
Drive alignment
Rally the entire organization around your vision, mission, and strategic priorities.
Empower contribution
Foster a culture of inclusion by empowering every employee to contribute ideas and share feedback.
Built on Microsoft 365
Deploy and manage Viva Connections through your existing infrastructure.
Protect your hybrid workforce across the attack chainDavid J Rosenthal
Security is one of the most important considerations for SMBs. In fact, 77% of SMBs in a recent survey consider security a top feature when purchasing new PCs.1
Last year alone, 67% of SMBs experienced a security breach that cost, on average, 3.3% of their revenue.1 That’s a big risk to both profitability and reputation, and it shows how critical strong security protections are for businesses.
The good news is that 69% of SMBs in a recent survey agreed that new Windows 10 Pro devices offered better security and data protection than older devices.1
Research shows that modern devices help business owners by preventing identity attacks, minimizing phishing, and reducing the risk of malware attacks. These are all common ways that bad actors steal business data, steal personal information, or hold our devices hostage in exchange for huge amounts of ransom money.
And with modern PCs, most security functions can happen in the cloud, without interrupting worker productivity.
Connections is a company branded employee app in Teams. It is a gateway to your employee experience, with personalized news, communications, tasks, people and resources. It provides a single curated employee destination that can be configured for specific roles like frontline workers. So, leaders can communicate and engage their employees, and employees can get easy access to the tools and resources they need from one place.. Connections builds on existing capabilities in Microsoft 365 like SharePoint and Yammer. And it pulls your communications together into a pre-configured app in Teams, designed for both desktop and mobile workers. It also acts as a launching pad to the other 3 Viva modules
Insights brings together Workplace Analytics, MyAnalytics and Glint into a unified insights app in Teams to provide data-driven and privacy-protected insights for individuals, managers and leaders. For example, employees get personalized insights, only they can see, that help them protect their time for breaks, focused work, and learning in order to promote improved productivity and wellbeing.
Topics focuses on knowledge and expertise. Topics applies AI to identify knowledge and experts and organize them into shared topics. AI automatically creates a topic page for each topic. It’s like Wikipedia for the enterprise where AI does the first draft. And these topic pages are surfaced as Topic Cards right in the flow of work in Office and Teams.
Finally, Learning allows employees to easily discover informal and formal learning in the flow of work. It aggregates content from LinkedIn Learning, Microsoft Learn and 3rd party training content and your own organizations content – all in one place. Along with providing aggregation and recommendations, it also allows managers to assign and track training, as well as report on training within and across teams.
Connections is a company branded employee app in Teams. It is a gateway to your employee experience, with personalized news, communications, tasks, people and resources. It provides a single curated employee destination that can be configured for specific roles like frontline workers. So, leaders can communicate and engage their employees, and employees can get easy access to the tools and resources they need from one place.. Connections builds on existing capabilities in Microsoft 365 like SharePoint and Yammer. And it pulls your communications together into a pre-configured app in Teams, designed for both desktop and mobile workers. It also acts as a launching pad to the other 3 Viva modules
Insights brings together Workplace Analytics, MyAnalytics and Glint into a unified insights app in Teams to provide data-driven and privacy-protected insights for individuals, managers and leaders. For example, employees get personalized insights, only they can see, that help them protect their time for breaks, focused work, and learning in order to promote improved productivity and wellbeing.
Topics focuses on knowledge and expertise. Topics applies AI to identify knowledge and experts and organize them into shared topics. AI automatically creates a topic page for each topic. It’s like Wikipedia for the enterprise where AI does the first draft. And these topic pages are surfaced as Topic Cards right in the flow of work in Office and Teams.
Finally, Learning allows employees to easily discover informal and formal learning in the flow of work. It aggregates content from LinkedIn Learning, Microsoft Learn and 3rd party training content and your own organizations content – all in one place. Along with providing aggregation and recommendations, it also allows managers to assign and track training, as well as report on training within and across teams.
Connections is a company branded employee app in Teams. It is a gateway to your employee experience, with personalized news, communications, tasks, people and resources. It provides a single curated employee destination that can be configured for specific roles like frontline workers. So, leaders can communicate and engage their employees, and employees can get easy access to the tools and resources they need from one place.. Connections builds on existing capabilities in Microsoft 365 like SharePoint and Yammer. And it pulls your communications together into a pre-configured app in Teams, designed for both desktop and mobile workers. It also acts as a launching pad to the other 3 Viva modules
Insights brings together Workplace Analytics, MyAnalytics and Glint into a unified insights app in Teams to provide data-driven and privacy-protected insights for individuals, managers and leaders. For example, employees get personalized insights, only they can see, that help them protect their time for breaks, focused work, and learning in order to promote improved productivity and wellbeing.
Topics focuses on knowledge and expertise. Topics applies AI to identify knowledge and experts and organize them into shared topics. AI automatically creates a topic page for each topic. It’s like Wikipedia for the enterprise where AI does the first draft. And these topic pages are surfaced as Topic Cards right in the flow of work in Office and Teams.
Finally, Learning allows employees to easily discover informal and formal learning in the flow of work. It aggregates content from LinkedIn Learning, Microsoft Learn and 3rd party training content and your own organizations content – all in one place. Along with providing aggregation and recommendations, it also allows managers to assign and track training, as well as report on training within and across teams.
Our end-to-end, integrated portfolio of cloud solutions across Microsoft 365, Dynamics 365, and Azure is built on a foundation of security and privacy and helps every organization in every industry build resilience and improve the bottom line.
Azure Arc offers simplified management, faster app development, and consistent Azure services. Easily organize, govern, and secure Windows, Linux, SQL Server, and Kubernetes clusters across data centers, the edge, and multicloud environments right from Azure. Architect, design, and build cloud-native apps anywhere without sacrificing central visibility and control. Get Azure innovation and cloud benefits by deploying consistent Azure data, application, and machine learning services on any infrastructure.
Gain central visibility, operations, and compliance
Centrally manage a wide range of resources including Windows and Linux servers, SQL server, Kubernetes clusters, and Azure services.
Establish central visibility in the Azure portal and enable multi-environment search with Azure Resource Graph.
Meet governance and compliance standards for apps, infrastructure, and data with Azure Policy.
Delegate access and manage security policies for resources using role-based access control (RBAC) and Azure Lighthouse.
Organize and inventory assets through a variety of Azure scopes, such as management groups, subscriptions, resource groups, and tags.
Learn more about hybrid and multicloud management in the Microsoft Cloud Adoption Framework for Azure.
Windows Server 2022 is now in preview, the next release in our Long-Term Servicing Channel (LTSC), which will be generally available later this calendar year. It builds on Windows Server 2019, our fastest adopted Windows Server ever. This release includes advanced multi-layer security, hybrid capabilities with Azure, and a flexible platform to modernize applications with containers.
Windows 365 also creates a new hybrid personal computing category called Cloud PC, which uses both the power of the cloud and the capabilities of the device to provide a full, personalized Windows experience. This new Windows experience comes as organizations around the world grapple with the best ways to facilitate hybrid work models where employees are both on-site and distributed across the globe.
The Windows 365 Cloud PC experience is:
Versatile, familiar and productive by delivering users their personalized content, settings, and applications
Simple to deploy and manage from a single console, easy for anyone to use
Secure by design, leaving no data on the device
Available on any device and optimized for the best experience on a Windows PC at a predictable price
And lastly, it’s scalable and resilient to support changing workforce needs and new business scenarios
Designed for hybrid work
Productive
Improve employee productivity and focus with a simple, powerful user experience.
Collaborative
Discover a smarter way to collaborate with Microsoft Teams integration.
Secure
Protect data and secure access with a Zero Trust-ready operating system.
Consistent
Make adoption easy with app compatibility and cloud management.
Productive and collaborative
Reach your individual and team goals with built-in assistance features in Windows 11.
Simple, modern visuals
Snap assist
Personalized widgets
Intelligent video conferencing
Share a window while presenting
Meet now in Microsoft Teams
The Microsoft Teams call and chat function in the taskbar of Windows 11.
Meet now in Microsoft Teams
Connect with anyone on any platform with fast, easy-to-use calling and chat right from the taskbar.
The most secure Windows yet
Increase security with hardware-based integrity protection in Windows 11, from the silicon to the cloud.
Go passwordless
Get secure, multifactor single sign-on from devices to the cloud and apps with Windows Hello for Business.
Perfect for remote work
Ship employees a corporate-owned device secured by company policy and easily provisioned by them.
Microsoft Scheduler for M365 - Personal Digital AssistantDavid J Rosenthal
An assistant for everyone
Enjoy the speed of a virtual assistant augmented with human understanding.
Easy scheduling
Save time by handing off the time-consuming task of scheduling using your own words.
Works 24/7
Request a meeting at any time. Cortana works around the clock even when you are offline or busy.
You control your data
Scheduler works within your Microsoft 365 compliance boundaries and keeps the data inside your organization. You control your data.
Smart technology with human assistance
Increased reliability that will always complete your request by using human assistance to resolve ambiguities and context.
Grows with your needs
Available 24/7 and capable of handling thousands of requests at the same time.
What is New in Teams Meetings and Meeting Rooms July 2021David J Rosenthal
Chat
Share your opinion, and your personality. Send gifs, stickers, and emojis in a group chat or in one-to-one messages.
Instant messaging
Meet
Instantly go from group chat to video conference with the touch of a button. Teams of 2 or 10,000 can meet in one place, no matter how many places they’re in.
Online meetings
Call
Make and receive calls with internal and external groups using Microsoft Teams Phone, Operator Connect, or Direct Routing.
Voice calling
Collaborate
Easily find, share, and edit files in real time using familiar apps like Word, PowerPoint, and Excel in Teams.
Video conferencing
Make meetings more personal and increase your productivity by collaborating in real time.
Screen sharing
Keep everyone on the same page by sharing your screen so they can see the same content.
Custom backgrounds
Create the perfect virtual setting by choosing, uploading, or blurring your background.
Together mode
Digitally sit in a shared background, making it feel like you’re in the same room with everyone else.1
File sharing
Co-author files in real time. Securely store, access, share, and collaborate on files from anywhere.
Apps and workflows
Streamline tasks and critical business processes by integrating apps and workflows.
Market availability
Available in 53 languages and 181 markets. Connect across Windows, Mac, iOS, and Android.
Privacy and security
Meet regulatory, legal, and organizational needs with industry-leading compliance offerings.
The Java ecosystem is very broad, with different technologies including Java SE, Java EE/Jakarta EE, Spring, numerous application servers, and other frameworks. Wherever you are in Java, Azure supports your workload and process with an abundance of choice – from IaaS to fully managed services. You can run any application architecture, from monoliths, to containerized monoliths, all the way to completely microservices based apps.
We see three broad patterns for running Java applications in the cloud, depending on how much control or productivity you need.
The first is lift and shift with Virtual Machines:
Virtual machines provide the most flexibility, control and visibility while moving to the cloud, especially for initial lift and shift of Java workloads. Azure provides a variety of Java focused VM images and solutions templates in the Azure Marketplace to get you up and running quickly.
The second is modernization using containers:
Containers provide portability, flexibility, scalability, manageability, repeatability, and predictability.
Azure provides best of breed support for Docker and Kubernetes, especially through the Azure Kubernetes Service (AKS) and Azure Red Hat OpenShift.
Finally, Azure has the most managed hosting options for Java applications of any major cloud platform with fully managed PaaS for Spring, Tomcat, and JBoss EAP:
Managed services offer ease-of-use, ease-of-management, productivity, and lower total cost of ownership.
You can focus on building your applications, not managing infrastructure.
All of this is supported by managed databases and DevOps tooling:
Use fully managed SQL and NoSQL databases, including PostgreSQL, MySQL, Cosmos DB, and SQL.
Keep using the tools you love, with plugins for IntelliJ and Eclipse, integrations with a variety of DevOps tools like Maven, Gradle, Jenkins, and GitHub.
Get comprehensive protection across all your platforms and clouds
Protect your organization from threats across devices, identities, apps, data and clouds. Get unmatched visibility into your multiplatform environment that unifies Security Information and Event Management (SIEM) and Extended Detection and Response (XDR). Simplify your security stack with Azure Sentinel and Microsoft Defender.
Protect your business with a universal identity platform
The Azure Active Directory (Azure AD) enterprise identity service provides single sign-on and multi-factor authentication to help protect your users from 99.9 percent of cybersecurity attacks.
Gartner named Microsoft a leader in Magic Quadrant 2020 for Access Management
Single sign-on simplifies access to your apps from anywhere
Conditional Access and multi-factor authentication help protect and govern access
A single identity platform lets you engage with internal and external users more securely
Developer tools make it easy to integrate identity into your apps and services
Connect your workforce
Whether people are on-site or remote, give them seamless access to all their apps so they can stay productive from anywhere. Automate workflows for user lifecycle and provisioning. Save time and resources with self-service management.
Choose from thousands of SaaS apps
Simplify single sign-on. Azure AD supports thousands of pre-integrated software as a service (SaaS) applications.
Protect and govern access
Safeguard user credentials by enforcing strong authentication and conditional access policies. Efficiently manage your identities by ensuring that the right people have the right access to the right resources.
Engage with your customers and partners
Secure and manage customers and partners beyond your organizational boundaries, with one identity solution. Customize user journeys and simplify authentication with social identity and more.
Integrate identity into your apps
Accelerate adoption of your application in the enterprise by supporting single sign-on and user provisioning. Reduce sign-in friction and automate the creation, removal, and maintenance of user accounts.
The Nintex Platform is Easy-to-use, Powerful and Complete to manage, automate and optimize your processes.
Manage processes by discovering, mapping and sharing across process participants and owners.
This often leads to opportunities for process automation. Many processes involve the capture of information and our forms capability provides an ease-to-use, responsive design experience, often eliminating paper forms. With advanced workflow capabilities you can quickly design powerful applications using advanced logic and rules to eliminate manual work. Nintex RPA drives speed by automating those mundane, repetitive tasks. Since many processes involve the need to generate a document we have a DocGen offering to automatically create documents from both unstructured and structured data sources. With Nintex Sign powered by Adobe Sign you can easily integrate eSign into your signature-based workflows for total automation.
Once you have been managing and automating processes, imagine the amount of information available on how your business is operating. Leveraging Nintex Analytics you are able to get process intelligence allowing you to monitor, analyze and improve your business.
With the Nintex platform our customers and partners value our extensibility, using pre-built connecters as well as leveraging our Xtensions to build powerful bi-directional connectors to orchestrate processes across any systems in your organization.
Combining the power of Nintex with our customer success and vast partner network it is easy to see why our customers are so successful.
Microsoft Power BI is a unified self-service and enterprise business intelligence platform that combines an intuitive user experience with intelligent data visualizations to provide greater depth of data insight. Reports can be shared within Microsoft tools like Teams, SharePoint, PowerPoint, or within other productivity products.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
Microsoft SQL Server 2017 and Azure Data Services
1. Power your entire data estate
from on-premises to cloud
David Rosenthal
VP & GM, Digital Business Solutions
Razor Technology
February 5, 2018
Microsoft Technology Center, New York City
9. T H E M O D E R N
D A T A E S T A T E
Security and PerformanceFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises
Private cloud
Cloud
Data warehouses
Data lakes
Operational databases
10. T H E M O D E R N
D A T A E S T A T E
Security and PerformanceFlexibility of choiceReason over any data, anywhere
SQL Server
Data warehouses #1 TPC-H performance
Operational databases Industry leader 4 years in a row
Only commercial DB
with AI built-in
R
0
50
100
150
Vulnerabilities
SQL Server
Most secure
over last 7 years
Any language, any
platform, anywhere
MULTIJAVA
Microsoft’s on-premises solution
1/10th the cost of Oracle
Data lakes T-SQL query over any data
11. End-to-end mobile BI
on any device
Choice of platform
and language
Most secure
over the last 7 years
0
20
40
60
80
100
120
140
160
180
200
Vulnerabilities(2010-2016)
A fraction of the cost
Self-serviceBIperuser
Only commercial DB
with AI built-in
Microsoft Tableau Oracle
$120
$480
$2,230
Industry-leading
performance
1/10
Most consistent data platform
#1 OLTP performance
#1 DW performance
#1 price/performance
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
R
R and Python +
in-memory at massive scale
Native T-SQL scoring
S Q L S E R V E R 2 0 1 7
I N D U S T R Y - L E A D I N G P E R F O R M A N C E A N D S E C U R I T Y N O W O N L I N U X A N D D O C K E R
Private cloud Public cloud
In-memory across all workloads
1/10th the cost of Oracle
12. I N D U S T R Y L E A D I N G TC O
A V O I D E X P E N S I V E O R A C L E A D D - O N S W I T H B U I L T - I N F E A T U R E S
$320K
SQL Server
BUSINESS INTELLIGENCE
DATA WAREHOUSING
OLTP
ETL
11.7x
more
$640,000$803,000$1,272,000$3,433,000$3,745,000
Everything
built-inMOBILE BI & SELF-SERVICE BI
#1 TPC-H—DW
INDUSTRY LEADER—OLTP
BUILT-IN ETL
R SERVERIN-DB ADVANCED ANALYTICS
13. L E A D E R I N
O P E R A T I O N A L D A T A B A S E M A N A G E M E N T S Y S T E M S
The above graphics were published by Gartner, Inc. as part of larger research documents and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse
any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's
research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Leader in BI and
analytics platforms
Leader in data management
solutions for analytics
14. N E W F E AT U R E S I N
S Q L S E R V E R 2 0 1 7
Support for graph data and queries
Advanced Machine Learning with R & Python
Native T-SQL scoring
Adaptive Query Processing and Automatic Plan Correction
Cross Platform HA (OS level redundancy)
15. T H E M O D E R N
D A T A E S T A T E
Security and PerformanceFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises
Private cloud
Cloud
Data warehouses
Data lakes
Operational databases
16. T H E M O D E R N
D A T A E S T A T E
Security and performanceFlexibility of choiceReason over any data, anywhere
Azure data services
Data warehouses
Operational databases
AI built-in
R
Any language, any
platform, anywhere
JAVA
Microsoft’s cloud solution
Data lakes
2x the global reach
70% faster than competition Industry leading SLAs
99.9% SLA
More certifications
than any other cloud
Azure SQL Database Azure Cosmos DB
Azure SQL Data Warehouse
Azure Data Lake, HDInsight
17. C L O U D - F I R S T A P P R O A C H B R E E D S FA S T E R I N N O V AT I O N
Across customer base
Continuous
enhancements
SQL SQL SQL SQL
New innovations
18. Scales
on the fly
Learns
& adapts
Works in your
environment
Secures
& protects
Enables
multi-tenant
SaaS apps
Realize automatic
performance
improvements
Change performance
levels and storage
without downtime
Easily manage
multi-tenant apps
database isolation
Develop your app
with the tools and
platforms you prefer
Build security-enhanced
apps with industry-
leading compliance
A Z U R E S Q L D ATA B A S E
T H E I N T E L L I G E N T C L O U D D A T A B A S E F O R A P P D E V E L O P E R S
19. T H E M I C R O S O F T A Z U R E A D V A N T A G E
Azure SQL Database is the preferred choice
True, fully-managed DBaaS
Identical code base provides the best cloud
destination for SQL Server workloads
Change service tiers, performance levels, and storage
dynamically with minimal downtime
Active geo-replication with a <5s RPO
Guaranteed 99.99% SLA
Microsoft Azure Amazon Web Services
Unified
development
and dev-ops
Consistent
data platform
Integrated
management
and security
Common
identity
Connected
infrastructure
X
X
X
X
20. S T R E A M L I N I N G Y O U R
J O U R N E Y TO T H E C LO U D
21. Database
Migration Ser vice
Azure SQL Database
Managed Instance
Azure Hybrid Benefit
for SQL Ser ver
Seamless and reliable migration at scale
Lift and shift migration to the cloud
with no code changes
Maximize current on-premises
license investments NEW
22. S Q L P A A S C O S T C O M P A R I S O N V S . A W S R D S
Azure SQL DB Managed Instance General
Purpose is 33% cheaper than AWS RDS SE
(Single-AZ) at list prices
Azure SQL DB Managed Instance Business
Critical is 46% cheaper than AWS RDS EE
(Multi-AZ) at list prices
Azure SQL DB
General Purpose
Note: On-Demand Prices for a Managed Instance price. Pricing accessed on October 2, 2017. US East 2. Comparable AWS RDS is db.r3.2xlarge. AWS Prices based on US East (Virginia).
AWS RDS EE
Multi-AZ (List)
Azure SQL DB
Business Critical
$3.02/hr
$2.02/hr
$10.0/hr
$5.44/hr
33% savings
vs. AWS
AWS RDS SE
Single-AZ (List)
46% savings
vs. AWS
23. S Q L I A A S C O S T C O M P A R I S O N V S . A W S
Azure will always be cheaper for SQL on
IaaS for customers with Software Assurance
on Windows Server and SQL Server
These customers can combine both the
hybrid use benefit for SQL and Windows
for best savings
Enterprise Edition
on Azure
(Hybrid Use
Benefit Pricing)
Standard Edition on
Azure (Hybrid Use
Benefit Pricing)
Enterprise Edition on
AWS EC2 (SQL
License Mobility)
Standard Edition on
AWS EC2 (SQL
License Mobility)
Note: On-Demand Prices for a D13 v2 VM. Pricing accessed on October 2, 2017. US East 2. Comparable AWS VM is r3.2xlarge. AWS Prices based on US East (Virginia). Savings analysis assumes that customer
is paying software assurance on SQL Server. Does not include SA for Windows Server as those costs are fairly negligible - $164 per 2-core license for WS DC, and $23 for Standard (OLP, NL).
$1.932/hr
$2.379/hr
19% savings
vs. AWS
32% savings
vs. AWS
$0.946/hr
$1.393/hr
24. Work in the DB of your choice
Create with built-in high availability
Set up in minutes, scale on the fly
Sustain performance with adaptive improvements
Rest easy with unparalleled security
Standard tier PREVIEW
A Z U R E D A T A B A S E F O R
M Y S Q L A N D P O S T G R E S Q L
25. Multi-model data with your favorite API
Elastically scale storage and throughput
Multiple, well-defined consistency levels
Millisecond latency at the 99th percentile
Industry-leading SLAs
Table API
A Z U R E C O S M O S D B
G L O B A L L Y D I S T R I B U T E D , M U L T I - M O D E L N O S Q L D A T A B A S E S E R V I C E
26. Model & servePrep & train
Data Lake
Analytics
D A T A
Business apps
Custom apps
Sensors and devices
I N T E L L I G E N C E A C T I O N
Store
Data Lake
Store
Ingest
Data Factory
Machine Learning
Web & mobile appsCosmos DB
SQL DB
Analytical dashboards
SQL Data
Warehouse
Analysis
Services
Operational reports
HDInsight
(Hadoop/Spark)
Stream Analytics
Event Hubs
Kafka on HDInsight
Blobs
B I G D ATA & A D VA N C E D A N A LY T I C S
27. Unlimited
scale
Fits your
needs
Trusted &
reliable
Fast time
to value
Modular solution for your
unique needs and
disparate data sources
Most performant built on
SQL Server engine
Seamlessly integrate with
Microsoft & 3rd party
services
Enhanced security
with encryption, audit,
VNET and industry-
leading compliance
A Z U R E S Q L D ATA WA R E H O U S E
I N D U S T R Y L E A D I N G P E R F O R M A N C E & S E C U R I T Y A T S C A L E I N T H E C L O U D
28. Power BI
Get started quickly
Natural language query
Live dashboards
Custom visualizations
Power BI reports
Power BI Report Server
SSRS reports
Power BI reports
Custom
visualizations
P O W E R B I A N D
P O W E R B I R E P O R T S E R V E R
29. AI built-in | Most secure | Lowest TCO
M I C R O S O F T F O R Y O U R M O D E R N D A T A E S T A T E
Data warehouses
Data lakes
Operational databases
Data warehouses
Data lakes
Operational databases
SQL Server Azure Data Services
Industry leader 4 years in a row
#1 TPC-H performance
T-SQL query over any data
70% faster
2x the global reach
99.9% SLA
HYBRID
Easiest lift and shift
with no code changes
SocialLOB Graph IoTImageCRM
Security and
performance
Flexibility
of choice
Reason over
any data, anywhere
30. Empower today’s innovators to unleash the power of data
and reimagine possibilities that will improve our world
31. Contact us for additional information &
deployment offers
David.Rosenthal@razor-tech.com