With Power BI you can bring your BI architecture to the next level.
Architecture it's very important topic in a business intelligence project, let's discover which are right questions and possible scenarios to integrate Power BI in an existing environment or to build a new one from scratch.
We'll talkabout how to choose the right Storage Modes, how to design a refreshing policy, how to use dataflows to decouple and to lift the transformation process on Cloud and more.
FOSSASIA 2016 - 7 Tips to design web centric high-performance applicationsAshnikbiz
Ashnik Database Solution Architect, Sameer Kumar, an Open Source evangelist shared some tips at FOSSASIA 2016 about how to design web-centric high-performance applications.
The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL, complemented by tool kits for management, integration, and migration; flexible deployment options, and services and support to enable enterprises to deploy Postgres at scale.
This presentation introduces the following functionalities of pgAdmin and PEM that make database management more efficient:
1. Examining the performance of a query using the explain plan visualizer in pgAdmin’s Query Tool
2. Examining the performance of a process or session consisting of multiple queries in PEM’s SQL Profiler
3. 24/7 monitoring of Postgres and the underlying host system
4. Capacity management and reporting
5. Alerting the DBA or System Administrator to potential problems
Database as a Service (DBaaS) is cloud database hosted and managed by the cloud service providers that can be accessed through public cloud or the hybrid cloud. The cloud provider takes care of provisioning, configuring, setup, maintenance, backups and patching the database. Customers are expected to export the database and start consuming the service through the pay-as-you-go model.
In his session at 5th Big Data Expo, Janakiram MSV will analyze the current market landscape while exploring the available options, strengths and weaknesses of current DBaaS players. He will highlight the key factors that enterprises should consider before adopting a cloud database platform.
FOSSASIA 2016 - 7 Tips to design web centric high-performance applicationsAshnikbiz
Ashnik Database Solution Architect, Sameer Kumar, an Open Source evangelist shared some tips at FOSSASIA 2016 about how to design web-centric high-performance applications.
The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL, complemented by tool kits for management, integration, and migration; flexible deployment options, and services and support to enable enterprises to deploy Postgres at scale.
This presentation introduces the following functionalities of pgAdmin and PEM that make database management more efficient:
1. Examining the performance of a query using the explain plan visualizer in pgAdmin’s Query Tool
2. Examining the performance of a process or session consisting of multiple queries in PEM’s SQL Profiler
3. 24/7 monitoring of Postgres and the underlying host system
4. Capacity management and reporting
5. Alerting the DBA or System Administrator to potential problems
Database as a Service (DBaaS) is cloud database hosted and managed by the cloud service providers that can be accessed through public cloud or the hybrid cloud. The cloud provider takes care of provisioning, configuring, setup, maintenance, backups and patching the database. Customers are expected to export the database and start consuming the service through the pay-as-you-go model.
In his session at 5th Big Data Expo, Janakiram MSV will analyze the current market landscape while exploring the available options, strengths and weaknesses of current DBaaS players. He will highlight the key factors that enterprises should consider before adopting a cloud database platform.
How Orwell built a geo-distributed Bank-as-a-Service with microservicesMariaDB plc
Orwell Group shares how they leveraged microservices, an event driven architecture and both master and reference data management methodologies to build a new banking system for high retail banking customers and corporate banks requiring cross border payments and cash flow management – and scaled it to handle customers with millions of clients. In particular they explain how they built a high availability, geo-distributed and consistent platform on top of MariaDB. The result was a secure and distributed platform with high cost efficiency, and the data accuracy and consistency needed to create high quality data pipelines from transactions to analytics and ensure regulatory compliance (e.g., GDPR).
Rightscale Webinar: The number one cause of poor scalable web application performance is the database. This problem is magnified in cloud environments where I/O and bandwidth are generally slower and less predictable than in dedicated data centers. Database sharding is a highly effective method of removing the database scalability barrier by operating on top of proven RDBMS products such as MySQL and PostgreSQL.
In this webinar, you'll learn what it really takes to implement sharding, the role it plays in the effective end-to-end lifecycle management of your entire database environment, and why it is crucial for ensuring reliability.
In this webinar, we will:
- Guide you on how to choose the best technology for your specific application
- Show you how to shard your existing database
- Review a case study on a Top 20 Facebook application built on dbShards
This presentation is dedicated to Power BI: how it looks from the inside, when to use this Microsoft product, Power BI limitations, and best practices of its usage.
This presentation by Andrii Antilikatorov, Consultant at GlobalLogic Kharkiv, was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
How to power microservices with MariaDBMariaDB plc
Adoption of microservices is continuing at a rapid pace, but many deployments struggle when it comes to the database topology and data modeling. This session covers the pros and cons of different approaches (e.g., giving every microservice its own database or its own schema on a shared database) and various strategies for providing a consolidated view of data when different data is managed by different microservices.
With the latest release of MongoDB 3.0, we have announced several new exciting features, including our new pluggable storage API and the WiredTiger storage engine, which provides compression, improved concurrency control, and more. Learn how you will be able to take advantage of these new features and how they will improve your database performance with this upcoming webinar.
Caching for Microservices Architectures: Session IVMware Tanzu
In this 60 minute webinar, we will cover the key areas of consideration for data layer decisions in a microservices architecture, and how a caching layer, satisfies these requirements. You’ll walk away from this webinar with a better understanding of the following concepts:
- How microservices are easy to scale up and down, so both the service layer and the data layer need to support this elasticity.
- Why microservices simplify and accelerate the software delivery lifecycle by splitting up effort into smaller isolated pieces that autonomous teams can work on independently. Event-driven systems promote autonomy.
- Where microservices can be distributed across availability zones and data centers for addressing performance and availability requirements. Similarly, the data layer should support this distribution of workload.
- How microservices can be part of an evolution that includes your legacy applications. Similarly, the data layer must accommodate this graceful on-ramp to microservices.
Presenter : Jagdish Mirani is a Product Marketing Manager in charge of Pivotal’s in-memory products
Maximizing performance via tuning and optimizationMariaDB plc
Ensuring that your end users get the performance they expect from your system requires an organized approach to performance management. This session will cover the planning and measurement necessary to ensure satisfied customers, and will also include tips and tricks learned from MariaDB’s years of supporting many of the most demanding installations in the world.
CCV: migrating our payment processing system to MariaDBMariaDB plc
CCV is a Dutch payment processor and loyalty provider. CCV's current payment processing platform is built on top of Microsoft SQL Server, but they are currently in the process of migrating it to MariaDB. This migration project is in progress and first production transactions are expected to run in 2020. In this session, Ernst Wernicke and Harry Dijkstra of CCV share how they are using MariaDB to meet critical high availability requirements, including geographic replication, zero data-loss, zero downtime (both planned and unplanned) and no single point of failure anywhere.
An overview of the new features available in SQL Server 2016 including Stretch Database, Always Encrypted, Data Masking, In Memory Operational Analytics and more.
ETL with Clustered Columnstore - PASS Summit 2014Niko Neugebauer
You will find some basic information about ways to extract, load & maintain information with Clustered Columnstore Indexes.
You will need to have some knowledge about Columnstore Indexes structures to use it.
MongoDB 3.0 introduces several important and exciting features to the MongoDB Ecosystem. These include a pluggable storage API, the WiredTiger storage engine, and improved concurrency controls. Learn how to take advantage of these new features and how they will improve your database performance in this webinar.
Things Every Oracle DBA Needs to Know About the Hadoop Ecosystem 20170527Zohar Elkayam
Big data is one of the biggest buzzwords in today's market. Terms such as Hadoop, HDFS, YARN, Sqoop, and non-structured data have been scaring DBAs since 2010, but where does the DBA team really fit in?
In this session, we will discuss everything database administrators and database developers need to know about big data. We will demystify the Hadoop ecosystem and explore the different components. We will learn how HDFS and MapReduce are changing the data world and where traditional databases fit into the grand scheme of things. We will also talk about why DBAs are the perfect candidates to transition into big data and Hadoop professionals and experts.
This is the presentation I gave in Kscope17, on June 27, 2017.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Datapolis Guest Expert Presentation: Top 15 SharePoint Server Configuration M...Datapolis
This is the presentation from guest expert webinar by Paolo Pialorsi, SharePoint MVP, who presents the most common issues in SharePoint configuration and explains how to avoid them.
Watch the video here: https://youtu.be/w28Xqa_P5IA
How Orwell built a geo-distributed Bank-as-a-Service with microservicesMariaDB plc
Orwell Group shares how they leveraged microservices, an event driven architecture and both master and reference data management methodologies to build a new banking system for high retail banking customers and corporate banks requiring cross border payments and cash flow management – and scaled it to handle customers with millions of clients. In particular they explain how they built a high availability, geo-distributed and consistent platform on top of MariaDB. The result was a secure and distributed platform with high cost efficiency, and the data accuracy and consistency needed to create high quality data pipelines from transactions to analytics and ensure regulatory compliance (e.g., GDPR).
Rightscale Webinar: The number one cause of poor scalable web application performance is the database. This problem is magnified in cloud environments where I/O and bandwidth are generally slower and less predictable than in dedicated data centers. Database sharding is a highly effective method of removing the database scalability barrier by operating on top of proven RDBMS products such as MySQL and PostgreSQL.
In this webinar, you'll learn what it really takes to implement sharding, the role it plays in the effective end-to-end lifecycle management of your entire database environment, and why it is crucial for ensuring reliability.
In this webinar, we will:
- Guide you on how to choose the best technology for your specific application
- Show you how to shard your existing database
- Review a case study on a Top 20 Facebook application built on dbShards
This presentation is dedicated to Power BI: how it looks from the inside, when to use this Microsoft product, Power BI limitations, and best practices of its usage.
This presentation by Andrii Antilikatorov, Consultant at GlobalLogic Kharkiv, was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
How to power microservices with MariaDBMariaDB plc
Adoption of microservices is continuing at a rapid pace, but many deployments struggle when it comes to the database topology and data modeling. This session covers the pros and cons of different approaches (e.g., giving every microservice its own database or its own schema on a shared database) and various strategies for providing a consolidated view of data when different data is managed by different microservices.
With the latest release of MongoDB 3.0, we have announced several new exciting features, including our new pluggable storage API and the WiredTiger storage engine, which provides compression, improved concurrency control, and more. Learn how you will be able to take advantage of these new features and how they will improve your database performance with this upcoming webinar.
Caching for Microservices Architectures: Session IVMware Tanzu
In this 60 minute webinar, we will cover the key areas of consideration for data layer decisions in a microservices architecture, and how a caching layer, satisfies these requirements. You’ll walk away from this webinar with a better understanding of the following concepts:
- How microservices are easy to scale up and down, so both the service layer and the data layer need to support this elasticity.
- Why microservices simplify and accelerate the software delivery lifecycle by splitting up effort into smaller isolated pieces that autonomous teams can work on independently. Event-driven systems promote autonomy.
- Where microservices can be distributed across availability zones and data centers for addressing performance and availability requirements. Similarly, the data layer should support this distribution of workload.
- How microservices can be part of an evolution that includes your legacy applications. Similarly, the data layer must accommodate this graceful on-ramp to microservices.
Presenter : Jagdish Mirani is a Product Marketing Manager in charge of Pivotal’s in-memory products
Maximizing performance via tuning and optimizationMariaDB plc
Ensuring that your end users get the performance they expect from your system requires an organized approach to performance management. This session will cover the planning and measurement necessary to ensure satisfied customers, and will also include tips and tricks learned from MariaDB’s years of supporting many of the most demanding installations in the world.
CCV: migrating our payment processing system to MariaDBMariaDB plc
CCV is a Dutch payment processor and loyalty provider. CCV's current payment processing platform is built on top of Microsoft SQL Server, but they are currently in the process of migrating it to MariaDB. This migration project is in progress and first production transactions are expected to run in 2020. In this session, Ernst Wernicke and Harry Dijkstra of CCV share how they are using MariaDB to meet critical high availability requirements, including geographic replication, zero data-loss, zero downtime (both planned and unplanned) and no single point of failure anywhere.
An overview of the new features available in SQL Server 2016 including Stretch Database, Always Encrypted, Data Masking, In Memory Operational Analytics and more.
ETL with Clustered Columnstore - PASS Summit 2014Niko Neugebauer
You will find some basic information about ways to extract, load & maintain information with Clustered Columnstore Indexes.
You will need to have some knowledge about Columnstore Indexes structures to use it.
MongoDB 3.0 introduces several important and exciting features to the MongoDB Ecosystem. These include a pluggable storage API, the WiredTiger storage engine, and improved concurrency controls. Learn how to take advantage of these new features and how they will improve your database performance in this webinar.
Things Every Oracle DBA Needs to Know About the Hadoop Ecosystem 20170527Zohar Elkayam
Big data is one of the biggest buzzwords in today's market. Terms such as Hadoop, HDFS, YARN, Sqoop, and non-structured data have been scaring DBAs since 2010, but where does the DBA team really fit in?
In this session, we will discuss everything database administrators and database developers need to know about big data. We will demystify the Hadoop ecosystem and explore the different components. We will learn how HDFS and MapReduce are changing the data world and where traditional databases fit into the grand scheme of things. We will also talk about why DBAs are the perfect candidates to transition into big data and Hadoop professionals and experts.
This is the presentation I gave in Kscope17, on June 27, 2017.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
Datapolis Guest Expert Presentation: Top 15 SharePoint Server Configuration M...Datapolis
This is the presentation from guest expert webinar by Paolo Pialorsi, SharePoint MVP, who presents the most common issues in SharePoint configuration and explains how to avoid them.
Watch the video here: https://youtu.be/w28Xqa_P5IA
Deep Dive - Usage of on premises data gateway for hybrid integration scenariosSajith C P Nair
Presentation delivered by Sajith C P, Integration Architect at the 2017 Global Integration Bootcamp, Bangalore.
https://www.biztalk360.com/gib2017-india/#speakers[inline]/7/
In this session the speaker talked about ‘on-premises data gateway’ as a secure centralized gateway that can be used for accessing on premise data from various Azure Services. He took a deep dive on how it works, how to install and various methods to troubleshoot connectivity. He concluded the session with few demos of its use in Azure Logic App, Microsoft Flow, Power Apps and Power BI.
Sql Start! 2020 - SQL Server Lift & Shift su AzureMarco Obinu
Slide of the session delivered during SQL Start! 2020, where I illustrate different approaches to determine the best landing zone for you SQL Server workloads.
Video (ITA): https://youtu.be/1hqT_xHs0Qs
Marco Pozzan
Power BI consultant & Trainer
Scenario di utilizzo del real-time di Power BI. In questa sessione verrà introdotta la teoria sul real-time dashboarding offerto da Power BI. Poi ci si focalizzerà sun un caso pratico di real-time dataset in modalità ibrida per la realizzazione di una dashboard di controllo con la possibilità di effettuare il write back e permettere all’utente di effettuare analisi what-if.
I shared experience from recent involvement into a project on defining a set of Azure-based architectures & implementing prototypes for one of the customers that would like to publicly expose it's business data to the clients and support different use-cases (BI, data extraction, internal use, etc.).
I walked audience through analyzed & proposed architectural approaches in Azure leveraging native cloud capabilities & PaaS offerings. In addition, I shared results of implemented prototypes, advantages & limitations of each architectural approach and final recommendations made to the customer.
3 Things to Learn:
-How data is driving digital transformation to help businesses innovate rapidly
-How Choice Hotels (one of largest hoteliers) is using Cloudera Enterprise to gain meaningful insights that drive their business
-How Choice Hotels has transformed business through innovative use of Apache Hadoop, Cloudera Enterprise, and deployment in the cloud — from developing customer experiences to meeting IT compliance requirements
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
New enhancements for security and usability in EDB 13EDB
EDB 13 is here and it enhances our flagship database server and tools. This webinar will explore its security, usability, and portability updates. Join us to learn how EDB 13 can help you improve your PostgreSQL productivity and data protection.
Webinar highlights include:
- New security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents
- Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups
- Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
SQL Server Lift & Shift on Azure - SQL Saturday 921Marco Obinu
Slides presented at SQL Saturday 921, while talking about how to plan a Lift & Shift migration for SQL Server workloads, depicting the pros & cons of using different Azure services as landing zones.
Modernizing Global Shared Data Analytics Platform and our Alluxio JourneyAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
Sandipan Chakraborty, Director of Engineering (Rakuten)
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
GPPB2020 - Milan - Power BI dataflows deep diveRiccardo Perico
Power BI dataflows let you centralize and standardize data preparation, storing data in the cloud,
using your Power Query and M skills through a browser.
We'll discover which is the underneath architecture, which are the ways to create Power BI dataflows and how to manage them.
In the end we will try to understand which are the best scenarios to use them and which possibilities they "unlock".
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
Get help navigating the maze of options available when rolling out Power BI to your department or enterprise. Learn when and why to use Power BI Pro, Power BI Premium, Power BI Report Server and other Microsoft applications (SSRS, SSAS, Azure AS). Find out cost, capacity and feature tradeoffs and how to right-size Power BI for your organization. See the video of the demos: https://senturus.com/resources/deploying-power-bi-to-the-enterprise/.
Senturus offers a full spectrum of services in business intelligence and training on Tableau, Power BI and Cognos. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
Should I move my database to the cloud?James Serra
So you have been running on-prem SQL Server for a while now. Maybe you have taken the step to move it from bare metal to a VM, and have seen some nice benefits. Ready to see a TON more benefits? If you said “YES!”, then this is the session for you as I will go over the many benefits gained by moving your on-prem SQL Server to an Azure VM (IaaS). Then I will really blow your mind by showing you even more benefits by moving to Azure SQL Database (PaaS/DBaaS). And for those of you with a large data warehouse, I also got you covered with Azure SQL Data Warehouse. Along the way I will talk about the many hybrid approaches so you can take a gradual approve to moving to the cloud. If you are interested in cost savings, additional features, ease of use, quick scaling, improved reliability and ending the days of upgrading hardware, this is the session for you!
PASS President Grant Fritchey will be joined by fellow Microsoft MVPs Kendra Little and Steve Jones to discuss their highlights and learnings from PASS Summit 2018, the largest Microsoft Data Platform conference.
Similar to PPWT2019 - EmPower your BI architecture (20)
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
3. Riccardo Perico
rperico@solidq.com | @R1k91 |
Data Platform & BI Specialist @
10 years in Microsoft «Data Realm»
MCP: MTA, MCSA
Speaker at Azure Saturday, SQL Saturday and DIAD tutor
4. Agenda? The Right Questions
1. What’s Storage Mode and which one best suits to me?
2. Do I need an On-premises Data Gateway?
3. How to refresh my data?
4. Is it just on-cloud solution?
5. Can I «encapsulate» PowerBI?
6. Do I need to care about dataflows?
7. Can I have some advisable scenarios?
7. Storage Mode: Import Mode
• Model Cached inside Power BI Service
• High Compression thanks to VertiPaq (*)
• Full Power BI functionalities and DAX functions support
• Multiple Data Sources mashup (all available)
• 10 GB model size for PREMIUM / 1 GB for PRO
10. Storage Mode: Direct Query
• Limited data sources
• Not full Power Query and DAX support
• Pay attention to performance (1 render = 1 query)
• Overcome model size limits
• Real-time / Near Real-time scenarios
13. Storage Mode: Live Connection
• Data Sources: AAS, SSAS Tabular/Multidimensional and PBI dataset
• Data Preparation and Data Modeling done in the source
• Interaction with report = DAX query sent to source
• Overcome model size limits
• Partitioned Load
• Tends to be faster than DQ
• Never prefer «Import» over «Live Connection» for supported sources
17. On-Prem Data Gateway is the way
Azure Service BusOn-prem Data Gateway
Data Movement Service
Refresh Scheduler Service
18. 2 Gateway types
On-premises data gateway
(Enterprise)
On-premises data gateway
(Personal mode)
All Storage Mode Support
Scheduled Refresh Support
Import Mode Support
Scheduled Refresh Support
19. Gateway: Architecture security
• Credentials stored locally and in Power BI Service
• Data Source credentials encrypted and stored in the cloud only gateway
can decrypt
• Gateway polling No inbound port to open
• Outbound port to open TCP: 443, 5671, 5672, 9530...9534
20. Gateway: Considerations
• Keep gateways’ name/recovery key in a safe place (migration, take over
and recovery)
• Do not install Personal and then Enterprise
• Sometimes 2 gateways are needed: Import + DQ/Live
• Create a cluster for High-Availability: round robin or balanced load
• On-premises data gateway app helps you
• New Powershell 6 cmdlets to manage Gateway
25. Data are old… let’s refresh!
Storage Mode Refresh Needed
Import Mode Pro
Import Mode Premium
Direct Query
Live Connection
Max Refresh Per Day Max Refresh Time
8 2 hours
48 5 hours
- -
- -
+
30. PBI Service Vs PBI Report Server
PBI Service PBI Report Server
Deploy Cloud On-Prem
Licensing Power BI Pro and/or Premium PBI Premium or SQL Server EE + SA
Release Cycle Every month Every 4 months
Gateway Required For on-prem source No
Realtime Streaming Yes No
Dashboard & Quick Insights Yes No
Apps Yes No
Q&A Yes No
Analyze in Excel Yes No
Paginated reports Yes Yes
https://docs.microsoft.com/it-it/power-bi/report-server/compare-report-server-service
33. Opt. 1: Embedded in SharePoint Online
Pros
• Centralized UX
• Easy setup
Cons
• Only reports
• Users won’t use service
• Permissions management
34. Opt. 2: Power BI Embedded
Pros
• Full custom application
• Reports, Dashboards, Datasets and
also Q&A
• End user do not need a Power BI
Pro License
Cons
• Licensing: buckets of range
renders
• Registration and management
• Not all service’s features
• Web developer needed
37. dataflows: a new paradigm
Sales.pbix
Customer
Date
Sales
PQ in dataflows
Purchases.pbix
Vendor
Purchases
PQ in dataflows
Azure Data Lake
Storage V2 (CDM)
38. dataflows: 2 steps forward
Customer
Date
Sales
PQ in dataflows
Vendor
Purchases
PQ in dataflows
Azure Data Lake
Storage V2 (CDM)
Power BI Dataset
Data Preparation Data Modeling Data Presentation
39. dataflows: pros
• Centralization of data preparation (reusability and standardization)
• Isolating refresh (1 table a time)
• Attach an existing ADLS v2 (preview)
• Speed up dataset refresh
44. Some guidelines
Relational DWH AAS/SSAS Model Size Advice
Yes No Under 1 GB Storage Mode: Import Data
License: Pro
Data Preparation: Power Query or dataflows
No No Under 1 GB Storage Mode: Import Data (also shared dataset)
License: Pro
Data Preparation: dataflows
Yes Yes - Storage Mode: Live Query Connection
License: Pro
Yes/No No Over 1 GB Storage Mode: Import Data
License: Premium
Data Preparation: Power Query or dataflows
Yes/No No Over 1 GB Storage Mode: Direct Query or Dual Mode with Aggregations
License: Pro
Data Preparation: Power Query
45. Useful Links
• Live or Import? http://tiny.cc/fa9uaz
• Gateway http://tiny.cc/lb9uaz
• PowerShell Cmdlets for data gateway: http://tiny.cc/ebia1
• Incremental Refresh: http://tiny.cc/4c9uaz
• dataflows & CDM: http://tiny.cc/5d9uaz
• Dataflows best practices: http://tiny.cc/dmgebi
• Shared Datasets replace SSAS: http://tiny.cc/8imtbz
46. Riccardo Perico
rperico@solidq.com | @R1k91 |
Data Platform & BI Specialist @
10 years in Microsoft «Data Realm»
MCP: MTA, MCSA
Speaker at Azure Saturday, SQL Saturday and DIAD tutor
