ASMUG February 2015 Knowledge Event

The document provides best practices for securing Active Directory, including establishing secure boundaries, deploying secure domain controllers, establishing secure policies, and maintaining secure operations. It recommends limiting physical access, disabling unnecessary services, using strong passwords, monitoring for changes, and staying current on security updates. The summary emphasizes maintaining secure domain controller operations, using tools like VPNs, firewalls, and intrusion detection to protect communications and assets.

This module covers implementing dynamic access control (DAC) in Windows Server 2012. It includes lessons on overview of DAC, implementing DAC components like claims and resource properties, using DAC for access control, access denied assistance, and managing work folders. The document provides demonstrations on configuring claims, properties, rules, policies, and access denied assistance. It explains how access checks work with DAC and how to manage and monitor the DAC implementation.

This document discusses several important technologies used to develop digital libraries, including blockchain, artificial intelligence, Docker, and Kubernetes. Blockchain can be used to develop archiving services between institutions securely and electronically without the need for online databases. Docker and Kubernetes help develop the infrastructure flexibly by installing software directly on any web server without the need for programming. The document also discusses data mining concepts like classification, regression, clustering, and recommendation that can be used in library services with artificial intelligence. Machine learning tasks and techniques are also covered.

This document discusses definitions and concepts related to cloud computing. It begins by looking at definitions from NIST and WhatIs.com, which describe cloud computing as enabling on-demand access to configurable computing resources via a network. The document then covers central ideas like utility computing, service-oriented architecture (SOA), and service level agreements (SLAs). It discusses properties and characteristics of clouds like scalability, availability, reliability, manageability, interoperability, performance, and accessibility. Finally, it delves into concepts that enable these properties, such as virtualization, parallel computing, load balancing, fault tolerance, and system monitoring.

1) Building cloud software presents unique challenges compared to on-premise software, such as the need for faster release cycles, upgrades without regressions, and multitenancy. 2) Scaling issues are a major cause of outages for cloud systems, including problems reaching resource limits and insufficient isolation between users. 3) Testing cloud systems requires evaluating how they scale and handling varying loads, and failures can indicate problems with dimensions like output size or number of tasks.

The document discusses using funds from PERKESO, a Malaysian social security organization, to get certified in cloud computing skills in order to get back to work after being retrenched. It provides details on certification programs that are eligible for funding, as well as other benefits available from PERKESO like allowance payments and career counseling. The second part of the document introduces the trainer, Leo Lourdes, and his qualifications and experience in areas like IT service management, project management, and security.

Are you still hosting your databases on your own SQL Server? Would you like to consider putting those up in the cloud? Then come and learn what exactly Azure SQL can do for you and how to go about moving your databases to the cloud.

a talk about azure synapse aimed to help people who are not data experts understand what synapse is and how you can integrate it with other technologies

A cloud database management system (CDBMS) is a database management system hosted by a third party on remote servers and accessed over the Internet, whereas a traditional database system is installed locally. A CDBMS can be deployed in three ways: as a virtual machine image managed by the customer, as a database as a service managed by the provider, or as a fully managed hosting service. Before deploying a CDBMS, an organization should consider its performance, budget, data governance, and staffing requirements as a CDBMS may not provide the same level of performance as a local system and has different compliance implications.

The document discusses cloud analytics, cloud testing, and virtual desktop infrastructure (VDI). Cloud analytics allows organizations to implement analytics capabilities in the cloud to scale easily as the company grows and removes the burden of on-premise management. Cloud testing verifies cloud functions like redundancy and performance scalability. VDI creates a virtualized desktop environment on remote servers that users can access from any device, bringing benefits like access, security, cost reduction, and device portability.

Traditionally, data warehouse platforms have been perceived as cost prohibitive, challenging to maintain and complex to scale. The combination of Apache Spark and Spark SQL – running on AWS – provides a fast, simple, and scalable way to build a new generation of data warehouses that revolutionizes how data scientists and engineers analyze their data sets. In this webinar you will learn how Databricks - a fully managed Spark platform hosted on AWS - integrates with variety of different AWS services, Amazon S3, Kinesis, and VPC. We’ll also show you how to build your own data warehousing platform in very short amount of time and how to integrate it with other tools such as Spark’s machine learning library and Spark streaming for real-time processing of your data.

Derek Melber, Technical Evangelist for the AD Solutions team at ManageEngine and one of only 12 Microsoft Group Policy MVPs in the world, from his extensive knowledge in the Windows Active Directory security domain shares the various ways in Windows Servers to manage task delegations by Group / User / Permissions… And know the limitations too!

The topic focuses on how to plan for the organizational and technical issues around the move to cloud computing, it is specifically structured around the broad topics like planing principle etc. Moreover you can visit :https://www.behangservicenederland.com/glasvezelbehang.html

This document discusses the evolution of data center services towards a cloud model. It describes 4 levels of cloud maturity ranging from basic colocation offerings to fully automated cloud services. Each level is associated with increasing levels of standardization, automation, efficiency and reduced total cost of ownership. The document advocates for standardization across infrastructure, software and processes to achieve an optimized private cloud with up to 60% lower costs and increased efficiency compared to traditional data center environments.

The document discusses different patterns for organizing domain logic, including transaction scripts, domain models, table modules, and service layers. It provides descriptions and examples of when each pattern is appropriate to use based on the complexity of the business logic and data model. Transaction scripts are simple and suitable for less complex logic, while domain models, table modules, and service layers are needed for more intricate business rules and relationships between objects, data tables, and application services.

Azure SQL Database is a managed database service hosted in Microsoft's Azure cloud. Some key differences from SQL Server include: the service is paid by the hour based on the selected service tier; users can dynamically scale resources up or down; backups and high availability are managed by the service provider; and common administration tasks are handled by the provider rather than the user. The service offers automatic backups, point-in-time restore, and geo-restore capabilities along with built-in high availability through replication across three copies in the primary region.

En esta sesión revisamos las nuevas mejoras y funcionalidades que estarán implementadas en la siguiente versión de SQL Server principalmente en Seguridad, Rendimiento y Alta Disponibilidad

Please find an updated profile of my completed motor retail green field and turnaround projects along with current assignments. Happy to discuss any automotive requirements in complete confidence. Ian Allen. 07922 466126. ian.allen@cnaint.com

Strong leadership is needed to drive results. With effective team building and communication a compelling vision can make all the difference in motivating teams to achieve challenging turnaround, startup or change management strategies. Successful leaders coach, develop and motivate team members to perform at their best.

The presentation was prepared within a Marketing Management course and deals with the well known Lego Case Study on its turnaround from 2003 - 2013

Digital disruption is sweeping across all industries and few organizations can afford to stand still. Yet many businesses overhauling their strategies have encountered a major stumbling block: their internal culture. Understanding what drives culture change can make all the difference between transformations that fail and those that succeed. View recommendations on how you can support your business strategy with successful cultural change.

Digital disruption is impacting workforces and how organizations operate. While business leaders recognize the benefits of digital transformation, many organizations lack the necessary digital skills. Research found that while executives and employees agree on digital's benefits, 82% of leaders see skills as a barrier. Employees are open to learning new digital skills and see it improving their careers. For organizations to succeed with digital, they must align HR strategies, experiment with flexible work, identify skills gaps, develop digital competencies, and foster leadership that encourages innovation.

The document discusses the need to change performance management practices to better support the changing workforce. It identifies 10 focus areas for driving better business performance through performance management, including shifting from annual reviews to ongoing coaching, reducing administrative tasks to allow more time for coaching, moving from past-focused assessments to future development, and including collaborative performance in assessments. The document is based on a survey that found most leaders and employees believe current performance management practices are not effective and need further changes to improve performance and support the future workforce.

The document summarizes key concepts in software architecture design, including execution architecture views, code architecture views, component and connector views, architectural styles, and archetypes. It defines execution views as showing how functional components map to runtime entities and how communication is handled. Code views map runtime entities to deployment components. Component and connector views define elements, relations, and properties using styles like pipe-and-filter. Archetypes are universal patterns that recur in business domains and software systems.

In this introductory session, we dive into the inner workings of the newest version of Azure Data Factory (v2) and take a look at the components and principles that you need to understand to begin creating your own data pipelines. See the accompanying GitHub repository @ github.com/ebragas for code samples and ADFv2 ARM templates.

This document summarizes a presentation about harnessing the power of cloud computing for grid computing. It discusses how RightScale provides automated management of grid computing workloads in the cloud, allowing users to easily deploy and control large numbers of servers. Demos show how RightScale enables graceful scaling of server arrays, automated queue handling, and analyzing results to quantify economic benefits like cost savings and increased agility compared to on-premise grid solutions.

This document provides an agenda and overview for a tutorial on building shared AI services. The tutorial consists of two modules: the first module discusses a case study of AI as a service and challenges of traditional machine learning, and how deep learning can help address these challenges. The second module introduces Keras and options for running Keras on Spark, including a use case, code lab, and prerequisites for running the code lab in Docker containers.

This session will cover building the modern Data Warehouse by migration from the traditional DW platform into the cloud, using Amazon Redshift and Cloud ETL Matillion in order to provide Self-Service BI for the business audience. This topic will cover the technical migration path of DW with PL/SQL ETL to the Amazon Redshift via Matillion ETL, with a detailed comparison of modern ETL tools. Moreover, this talk will be focusing on working backward through the process, i.e. starting from the business audience and their needs that drive changes in the old DW. Finally, this talk will cover the idea of self-service BI, and the author will share a step-by-step plan for building an efficient self-service environment using modern BI platform Tableau.

FINRA’s Data Lake unlocks the value in its data to accelerate analytics and machine learning at scale.  FINRA's Technology group has changed its customer's relationship with data by creating a Managed Data Lake that enables discovery on Petabytes of capital markets data, while saving time and money over traditional analytics solutions. FINRA’s Managed Data Lake includes a centralized data catalog and separates storage from compute, allowing users to query from petabytes of data in seconds.  Learn how FINRA uses Spot instances and services such as Amazon S3, Amazon EMR, Amazon Redshift, and AWS Lambda to provide the 'right tool for the right job' at each step in the data processing pipeline.  All of this is done while meeting FINRA’s security and compliance responsibilities as a financial regulator.

This document discusses using System Center Operations Manager (SCOM) to provide monitoring services to multiple customers. It describes several scenarios for separating monitoring data and views by customer while also allowing combined views. The solutions involve adding a "Customer" enum property to monitored objects, filtering and grouping objects by customer, and creating roles and permissions to restrict views and access to only relevant customer data. A deployed architecture is shown with SCOM components like agents and management servers separated by a gateway to isolate customer compartments and provide monitoring as a service.

The best primary keys for each relation are: EMPLOYEE (person_name) WORKS (person_name, company_name) COMPANY (company_name)

The document discusses client-server database architecture. Some key points: - In client-server architecture, multiple clients connect to a central server which provides services to the clients. The server processes clients' requests and returns results. - The architecture divides applications into presentation, logic, and data tiers. The presentation tier handles the user interface. The logic tier controls application functions. The data tier stores and retrieves data from the database. - Advantages include centralized data control and scalability. Disadvantages are potential single point of failure if the server fails and increased hardware/software costs.

This document discusses database management systems (DBMS) and their advantages over traditional file-based data storage. It describes the key components of a DBMS, including the hardware, software, data, procedures, and users. It also explains the three levels of abstraction in a DBMS - the physical level, logical level, and view level - and how they provide data independence. Finally, it provides an overview of different data models like hierarchical, network, and relational models.