An overview of the new features available in SQL Server 2016 including Stretch Database, Always Encrypted, Data Masking, In Memory Operational Analytics and more.
SQL Server 2016 is now in review! The newest version promises to deliver new real-time, built-in advanced analytics, advanced security technology, hybrid cloud scenarios as well as amazing rich visualizations on mobile devices.
There are many great reasons to move to SQL 2016, however if you are still working on SQL Server 2005 you may have another good motivator - the end-of-life clock of SQL 2005 is ticking down and support is about to end April 12, 2016.
In this deck we review the significant licensing changes introduced with SQL 2012. If our experience as Microsoft's Gold Certified Member has taught us anything - it is one thing. During migrations many of our clients get outright lost when trying to figure out the number of licenses they have or need. This often leads to under-deployment, and subsequently serious compliance issues with Microsoft. And yes, in some cases over-deployment means big savings back to your department.
SQL Server 2016: Just a Few of Our DBA's Favorite ThingsHostway|HOSTING
Join Rodney Landrum, Senior DBA Consultant for Ntirety, a division of HOSTING, as he demonstrates his favorite new features of the latest Microsoft SQL Server 2016 Service Pack 1.
During the accompanying webinar and slides, Rodney will touch on the following:
• A demo of his favorite new features in SQL Server 2016 and SP1 including:
o Query Store
o Database Cloning
o Dynamic Data Masking
o Create or Alter
• A review of Enterprise features that are now available in standard edition
• New information in Dynamic Management Views and SQL Error Log that will make your DBAs job easier.
SQL Server 2016 is now in review! The newest version promises to deliver new real-time, built-in advanced analytics, advanced security technology, hybrid cloud scenarios as well as amazing rich visualizations on mobile devices.
There are many great reasons to move to SQL 2016, however if you are still working on SQL Server 2005 you may have another good motivator - the end-of-life clock of SQL 2005 is ticking down and support is about to end April 12, 2016.
In this deck we review the significant licensing changes introduced with SQL 2012. If our experience as Microsoft's Gold Certified Member has taught us anything - it is one thing. During migrations many of our clients get outright lost when trying to figure out the number of licenses they have or need. This often leads to under-deployment, and subsequently serious compliance issues with Microsoft. And yes, in some cases over-deployment means big savings back to your department.
SQL Server 2016: Just a Few of Our DBA's Favorite ThingsHostway|HOSTING
Join Rodney Landrum, Senior DBA Consultant for Ntirety, a division of HOSTING, as he demonstrates his favorite new features of the latest Microsoft SQL Server 2016 Service Pack 1.
During the accompanying webinar and slides, Rodney will touch on the following:
• A demo of his favorite new features in SQL Server 2016 and SP1 including:
o Query Store
o Database Cloning
o Dynamic Data Masking
o Create or Alter
• A review of Enterprise features that are now available in standard edition
• New information in Dynamic Management Views and SQL Error Log that will make your DBAs job easier.
With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.
SQL Server 2017 Enhancements You Need To KnowQuest
In this session, database experts Pini Dibask and Jason Hall reveal the lesser-known features that’ll help you improve database performance in record time.
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
SQL Server 2017 represents a major step towards making SQL Server a platform that gives you choices of development languages, data types, on-premises and in the cloud, and across operating systems by bringing the power of SQL Server to Linux, Linux-based Docker containers, and Windows.
What you’ll love about SQL Server 2017
Industry-leading performance
Perform queries up to 100x faster than disk with in-memory columnstore, and transactions up to 30x faster with in-memory OLTP.
Least vulnerable
Use layers of protection, including innovative features such as encryption at rest and in motion, all from the least vulnerable database over the last seven years.*
Real-time intelligence
Gain transformative insights with up to 1 million predictions per second using built-in Python and R integration, and get end-to-end mobile BI on any platform.
Any application, anywhere
Build modern applications using any data, any language, any platform—on-premises and in the cloud.
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
Data Integration through Data Virtualization (SQL Server Konferenz 2019)Cathrine Wilhelmsen
Data Integration through Data Virtualization - PolyBase and new SQL Server 2019 Features (Presented at SQL Server Konferenz 2019 on February 21st, 2019)
With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.
SQL Server 2017 Enhancements You Need To KnowQuest
In this session, database experts Pini Dibask and Jason Hall reveal the lesser-known features that’ll help you improve database performance in record time.
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
SQL Server 2017 represents a major step towards making SQL Server a platform that gives you choices of development languages, data types, on-premises and in the cloud, and across operating systems by bringing the power of SQL Server to Linux, Linux-based Docker containers, and Windows.
What you’ll love about SQL Server 2017
Industry-leading performance
Perform queries up to 100x faster than disk with in-memory columnstore, and transactions up to 30x faster with in-memory OLTP.
Least vulnerable
Use layers of protection, including innovative features such as encryption at rest and in motion, all from the least vulnerable database over the last seven years.*
Real-time intelligence
Gain transformative insights with up to 1 million predictions per second using built-in Python and R integration, and get end-to-end mobile BI on any platform.
Any application, anywhere
Build modern applications using any data, any language, any platform—on-premises and in the cloud.
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
Data Integration through Data Virtualization (SQL Server Konferenz 2019)Cathrine Wilhelmsen
Data Integration through Data Virtualization - PolyBase and new SQL Server 2019 Features (Presented at SQL Server Konferenz 2019 on February 21st, 2019)
Microsoft SQL Server internals & architectureKevin Kline
From noted SQL Server expert and author Kevin Kline - Let’s face it. You can effectively do many IT jobs related to Microsoft SQL Server without knowing the internals of how SQL Server works. Many great developers, DBAs, and designers get their day-to-day work completed on time and with reasonable quality while never really knowing what’s happening behind the scenes. But if you want to take your skills to the next level, it’s critical to know SQL Server’s internal processes and architecture. This session will answer questions like:
- What are the various areas of memory inside of SQL Server?
- How are queries handled behind the scenes?
- What does SQL Server do with procedural code, like functions, procedures, and triggers?
- What happens during checkpoints? Lazywrites?
- How are IOs handled with regards to transaction logs and database?
- What happens when transaction logs and databases grow or shrinks?
This fast paced session will take you through many aspects of the internal operations of SQL Server and, for those topics we don’t cover, will point you to resources where you can get more information.
SQL Server 2012 is a cloud-ready information platform that helps organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence. Sujit Rai, a technical expert at Convonix shares its uses in business intelligence.
Cleaning out some of my old work. I found this pdf on Reporting Services 2016. its a year old, but if you are working with SSRS 2016 it will be a good start for you. This information is provided by me personally and not from Microsoft. So please check for any updates to the product as this is a year old.
This is also the kind of content to expect from a training day at SQLBits. So why not check out the training day sessions http://www.sqlbits.com/information/trainingday
Pysyvästi laadukasta masterdataa SmartMDM:n avullaBilot
1.9.2016 aamiaistilaisuuden esitys.
Mitäpä jos valjastaisit koko organisaatio masterdatan ylläpitoon? Hallitsisit hajauttamalla? Uudistunut SmartMDM tuo käyttöösi hallinnan, Microsoft SQL Server Master Data Services (MDS) keskityksen.
Lisää tapahtumiamme sivustollamme: http://www.bilot.fi/en/events/
Databases are fundamentally changing due to new technologies and new requirements. This has never been more evident than with Oracle Database 12c, which has been the most rapidly adopted release in over a decade. This session provides a technical introduction to what's new in Oracle Database 12c and Oracle’s Engineered systems. We will describe which industry transformation inspired each enhancement and explain when and how you can embrace each enhancement while preserving your existing performance.
BIG DATA ANALYTICS MEANS “IN-DATABASE” ANALYTICSTIBCO Spotfire
Presented by: Dr. Bruce Aldridge, Sr. Industry Consultant Hi-Tech Manufacturing, Teradata
TIBCO Spotfire and Teradata: First to Insight, First to Action; Warehousing, Analytics and Visualizations for the High Tech Industry Conference
July 22, 2013 The Four Seasons Hotel Palo Alto, CA
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
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.
Industry leading
Build mission-critical, intelligent apps with breakthrough scalability, performance, and availability.
Security + performance
Protect data at rest and in motion. SQL Server is the most secure database for six years running in the NIST vulnerabilities database.
End-to-end mobile BI
Transform data into actionable insights. Deliver visual reports on any device—online or offline—at one-fifth the cost of other self-service solutions.
In-database advanced analytics
Analyze data directly within your SQL Server database using R, the popular statistics language.
Consistent experiences
Whether data is in your datacenter, in your private cloud, or on Microsoft Azure, you’ll get a consistent experience.
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
“A Distributed Operational and Informational Technological Stack” Stratio
By Loreto Fernández Costas and Adrián Doncel Gabaldó.
Digital Transformation starts with data. What if a solution existed that put data at the center, in a single place, serving all applications around it – A distributed data centric solution that combined the operational and the informational, managed by a single data center operating system?
This session will provide a detailed explanation of such a solution, bringing the concept of data centricity to life. We will cover the details of the array of open source technologies that come together to create a transformational solution to the historic problem of physical companies: From multiple data stores, distributed run-time engines and SQL engines based on Spark, to microservices, Machine Learning and Deep Learning Algorithms. Big Data 3.0 is just round the corner.
Data Analytics in your IoT SolutionFukiat Julnual, Technical Evangelist, Mic...BAINIDA
Data Analytics in your IoT SolutionFukiat Julnual, Technical Evangelist, Microsoft (Thailand) Limited ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
Balancing data democratization with comprehensive information governance: bui...DataWorks Summit
If information is the new oil, then governance is its “safety data sheet.” As demand for data as the raw material for competitive differentiation continues to rise in enterprises, enterprises are having bigger challenges identifying and valuing data and ensuring its appropriate use to extract the right information. In order for organizations to make effective business decisions, organizations need to have trust in their data so that they can impute the right value and use it for the right purposes while satisfying any organizational or regulatory mandates. A number of analytics and data science initiatives fail to reach their potential due to lack of an information governance framework in place. Robust information governance capabilities can help organizations develop trust in their data and empower them to make decisions confidently.
In this session Sanjeev Mohan, Research Analyst at Gartner, and Srikanth Venkat, Sr. Director of Product Management at Hortonworks, will walk you through an end-to-end architectural blueprint for information governance and best practices for helping organizations understand, secure, and govern diverse types of data in enterprise data lakes.
Speaker
Sanjeev Mohan, Gartner, Research Analyst
Srikanth Venkat, Hortonworks, Senior Director, Product Management
In this session Sanjeev Mohan, Research Analyst at Gartner, and Srikanth Venkat, Sr. Director of Product Management at Hortonworks, will walk you through an end-to-end architectural blueprint for information governance and best practices for helping organizations understand, secure, and govern diverse types of data in enterprise data lakes.
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Organizational compliance and security in Microsoft SQL 2012-2016George Walters
Organizational compliance and security in Microsoft SQL 2012-2016. This covers encryption at rest and in transit, securing data, application design considerations, Audit, and T-SQL to help you get compliant.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Communications Mining Series - Zero to Hero - Session 1
What's new in SQL Server 2016
1. SQL Server 2016
New Features &
Business Benefits
Lace Market House
Nottingham
NG1 1HW
www.onomi.co.uk
www.onomi.co.uk
2. Microsoft is a market leader for…..
[1] *Gartner “Magic Quadrant for Operational Database Management Systems,” by Donald Feinberg , Merv Adrian , Nick Heudecker, Adam Ronthal, October 2015
[2] *Gartner “Magic Quadrant for Business Intelligenceand Analytics Platforms,” by Rita Sallam and Josh Parenteau, February 23, 2015
[3] *Gartner “Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics,” by Mark Beyer and Roxane Edjlali, February 12, 2015
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is availableupon 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 publicationsconsist 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, includingany warranties of merchantability or fitness for a particular purpose.
Magic Quadrant for Data Warehouse
Database Management Solutions3
A leader for the fourth consecutive year
Magic Quadrant for Business Intelligence
and Analytics Platforms2
A leader 8 years running
Magic Quadrant for Operational
Database Management Systems1
Furthest in vision and ability to execute
3. SQL Server 2016: Everything built-in
The above graphics were published by Gartner, Inc. as part of a larger research document 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.
Consistent experience from on-premises to cloud
Microsoft Tableau Oracle
$120
$480
$2,230
Self-service BI per user
In-memoryacrossall workloads
TPC-H non-clustered results as of 04/06/15, 5/04/15, 4/15/14 and 11/25/13, respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
at massive scale
0 1
4
0 0
3
34
29
22
15
5
22
6
43
20
69
18
49
3
0
10
20
30
40
50
60
70
80
2010 2011 2012 2013 2014 2015
SQL Server Oracle MySQL SAP HANA TPC-H non-clustered 10TB
Oracle
is #5#2
SQL Server
#1
SQL Server
#3
SQL Server
National Institute of Standards and Technology Comprehensive Vulnerability Database update 10/2015
5. SQL Server 2016 Features by Edition (General)
Feature Express Standard Enterprise
Maximum number of cores 4 cores 24 cores Unlimited
Maximum memory utilized per instance 1 GB 128 GB OS Max
Maximum size 10 GB 524 PB 524 PB
Production use rights
Basic OLTP
Manageability (Management Studio, Policy-Based Management)
Basic high availability (2-node single database failover,
non-readable secondary)
Enterprise data management (Master Data Services, Data Quality
Services)
Advanced OLTP (In-memory OLTP, Operational analytics)
Advanced HA (Always On - multi-node, multi-db failover, readable
secondary's)
6. SQL Server 2016 Features by Edition
(Security, DW, Analytics & Hybrid)
Feature Express Standard Enterprise
Basic security (Row-level security, data masking, basic auditing,
separation of duties)
Advanced security
(Transparent Data Encryption, Always Encrypted)
Advanced data integration (Fuzzy grouping and look ups, change data
capture)
Data warehousing (In-Memory ColumnStore, Partitioning)
Basic “R” integration (Connectivity to R Open, Limited parallelism
for RRE)
Advanced “R” integration (Full parallelism for RRE)
Stretch Database
7. SQL Server 2016 Features by Edition (Business
Intelligence)
Feature Express Standard Enterprise
Programmability & developer tools (T-SQL, CLR, Data Types,
FileTable, JSON)
Basic reporting & analytics
Basic data integration (SSIS, built-in connectors)
Basic Corporate Business Intelligence (Multi-dimensional models,
Basic tabular model)
Mobile BI (Datazen)
Advanced Corporate Business Intelligence (Advanced tabular
model, Direct query, in-memory analytics, advanced data mining)
8. Stretch SQL Server into Azure (Stretch Database)
Capability
Stretch large operational tables
from on-premises to Azure with
the ability to query
Benefits
SQL
SERVER
2016
Azure
Hybrid solutions
Customer data
Product data
Order History
Stretch to cloud
9. JSON in SQL Server 2016
[
{
"Number":"SO43659",
"Date":"2011-05-31T00:00:00"
"AccountNumber":"AW29825",
"Price":59.99,
"Quantity":1
},
{
"Number":"SO43661",
"Date":"2011-06-01T00:00:00“
"AccountNumber":"AW73565“,
"Price":24.99,
"Quantity":3
}
]
Number Date Customer Price Quantity
SO43659 2011-05-31T00:00:00 MSFT 59.99 1
SO43661 2011-06-01T00:00:00 Nokia 24.99 3
Table 2 JSON
Formats result set
as JSON text.
JSON 2 table
Migrates JSON
text to table
Built-in functions
ISJSON
JSON_VALUE
JSON_MODIFY
Performance
Note: No custom type or index, stored as NVARCHAR
10. Always Encrypted: How it works
Help protect data at rest and in motion, on-premises and in
the cloud
SQL Server or SQL Database
ADO .NET
Name
Wayne Jefferson
Name
0x19ca706fbd9a
Result SetResult Set
Client
Name SSN Country
0x19ca706fbd9a 0x7ff654ae6d USA
dbo.Customers
ciphertext
"SELECT Name FROM Customers WHERE SSN = @SSN",
0x7ff654ae6d
ciphertext
"SELECT Name FROM Customers WHERE SSN =
@SSN",
"111-22-3333"
Encrypted sensitive data and corresponding keys
are never seen in plaintext in SQL Server
trust boundary
Security
11. Always Encrypted
Help protect data at rest and in motion, on-premises and in
the cloud
Data remains encrypted
during query
Capability
ADO.Net client library provides
transparent client-side encryption,
while SQL Server executes T-SQL
queries on encrypted data
Benefits
Apps TCE-enabled
ADO .NET library
SQL ServerEncrypted
query
Columnar
key
No app
changes
Master
key
Security
12. Row Level Security
Fine-grained access control over specific rows in a database
table
Help prevent unauthorized access when multiple users share the
same tables, or to implement connection filtering in multitenant
applications
Administer via SQL Server Management Studio or SQL Server
Data Tools
Enforcement logic inside the database and schema is bound to
the table
Protect data privacy by ensuring
the right access across rows
SQL Database
Customer 1
Customer 2
Customer 3
Security
13. Row Level Security
Fine-grained access
control
Keeping multitenant databases
secure by limiting access by
other users who share the same
tables
Application
transparency
RLS works transparently at
query time, no app changes
needed
Compatible with RLS in other
leading products
Centralized security
logic
Enforcement logic resides
inside database and is schema-
bound to the table it protects
providing greater security.
Reduced application
maintenance and complexity
Store data intended for many consumers in a single database/table while at the same time
restricting row-level read and write access based on users’ execution context.
14. Data Masking
Configuration made easy in the new Azure portal
Policy-driven at the table and column level, for a
defined set of users
Data masking applied in real-time to query results
based on policy
Multiple masking functions available (e.g. full,
partial) for various sensitive data categories (credit
card numbers, SSN, etc.)
SQL Database
SQL Server 2016
Table.CreditCardNo
4465-6571-7868-5796
4468-7746-3848-1978
4484-5434-6858-6550
Real-time data masking;
partial masking
Prevent the abuse of sensitive
data by hiding it from users
Security
15. Data Masking
Regulatory
compliance
Sensitive data
protection
Agility and
transparency
Data is masked on the fly, with
underlying data in the database
remaining intact. Transparent to
the application and applied
according to user privilege
Limit access to sensitive data by defining policies to obfuscate specific database fields,
without affecting the integrity of the database.
16. Enhanced AlwaysOn Availability Groups
Greater scalability
Load balancing readable secondaries
Increased number of automatic
failover targets
Log transport performance
Improved manageability
DTC support
Database-level health monitoring
Group Managed Service Account
Domain-independent Availability
Groups
AG_Listener
New York
(Primary)
Asynchronous data
Movement
Synchronous data
Movement
Unified HA solution
AG
Hong Kong
(Secondary)
AG
New Jersey
(Secondary)
AG
17. Enhanced AlwaysOn Availability Groups
Load balancing in readable secondary's
Computer5
DR site Computer2
Computer3
Computer4
Primary
site
Computer1
(Primary)
READ_ONLY_ROUTING_LIST=
(('COMPUTER2', 'COMPUTER3',
'COMPUTER4'), 'COMPUTER5')
In SQL 2014, read-only
transactions routed by the
Listener went to the first
secondary that was available
Read-only Routing (ROR) lists
Now you can configure the
ROR lists to round-robin
among a specific set of
secondary's (for each
primary)
Availability
18. Polybase view in SQL Server 2016
Execute T-SQL queries against
relational data in SQL Server and
‘semi-structured’ data in HDFS
and/or Azure
Leverage existing T-SQL skills and BI
tools to gain insights from different
data stores
Expand the reach of SQL Server to
Hadoop(HDFS)
19. Revolution R Enterprise & SQL
Big data analytics platform
Based on open source R
High-performance, scalable, full-featured
Statistical and machine-learning algorithms are
performant, scalable, and distributable
Write once, deploy anywhere
Scripts and models can be executed on a variety of
platforms, including non-Microsoft (Hadoop,
Teradata in-DB)
Integration with the R Ecosystem
Analytic algorithms accessed via R function with similar
syntax for R users. Arbitrary R functions/packages can
be used in conjunction
20. Real-time operational analytics – In Memory
0100101010110
In-memory
ColumnStore
In-memory
OLTP
Real-time business problem
detection
Up to 30x faster
transactions with
in-memory OLTP
Queries from
minutes to
seconds
Real-time
operational
analytics
21. Mobile BI for SQL Server
Business insights through rich visualizations
on any device
Native apps for Windows,
iOS and Android
Create once and publish to any device
Access your data from anywhere
Custom branding
Touch-optimized data exploration and perfect
scaling to any screen form-factor
Collaborate with colleagues on the go
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.
SQL Server 2014 is the data platform for the modern business. SQL Server offers small and midsize organizations a fast, highly available database—and a cloud-ready data platform that will grow with your business. SQL Server 2014 dramatically speeds transactions with new in-memory capabilities. Cloud capabilities make it easy for your organization to choose where to deploy your applications—whether on-premises, in the cloud, or a combination of both.