azure synapse analytics end-to-end solution-hands-on at 20200728

•Download as PPTX, PDF•

0 likes•317 views

Daichi Isami

These slides are tips to complete hands-on below https://github.com/microsoft/MCW-Azure-Synapse-Analytics-and-AI

Azure Synapse Analytics end-to-end solution
hands-on tips

# hands-on note
1. Enable “Synapse” resource provider on your subscription with following next pages
2. Visit https://github.com/microsoft/MCW-Azure-Synapse-Analytics-and-AI
3. Open “Hands-on lab/Before the HOL - Azure Synapse Analytics and AI.md”
• Task 2: Put
• Require to choose your region among below
* 'westus2,eastus,northeurope,westeurope,southeastasia,australiaeast,
westcentralus,southcentralus,eastus2,uksouth,westus'
• “Unique Suffix” as unique globally but avoid long one
• Confirm on other page to avoid long “Unique Suffix” error
• Azure resources deployments would take about 10 min
• Task 4: Make sure to execute and complete “az login“ on Cloud Shell – Azure Portal
• Task 5: Command completion would take about 8 min
4. Open “Hands-on lab/HOL step-by step - Azure Synapse Analytics and AI.md”
• Today’s goal is to complete until exercise 4
• Exercise 2
• Task 2
• 18: Refresh browser with F5 if mapping between input and output columns wouldn’t come up
• 26: Data copy will takes about 45 min

Enable “Synapse” on your subscription (1/2)

Enable “Synapse” on your subscription (2/2)

What's hot

Overview on Azure Machine Learning

James Serra

Machine learning allows us to build predictive analytics solutions of tomorrow - these solutions allow us to better diagnose and treat patients, correctly recommend interesting books or movies, and even make the self-driving car a reality. Microsoft Azure Machine Learning (Azure ML) is a fully-managed Platform-as-a-Service (PaaS) for building these predictive analytics solutions. It is very easy to build solutions with it, helping to overcome the challenges most businesses have in deploying and using machine learning. In this presentation, we will take a look at how to create ML models with Azure ML Studio and deploy those models to production in minutes.

Azure Synapse Analytics

WinWire Technologies Inc

Azure Synapse Analytics Overview (r2)

James Serra

Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.

Modern data warehouse

Rakesh Jayaram

Modern DW Architecture - The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.

Develop scalable analytical solutions with Azure Data Factory & Azure SQL Dat...

Microsoft Tech Community

In this session you will learn how to develop data pipelines in Azure Data Factory and build a Cloud-based analytical solution adopting modern data warehouse approaches with Azure SQL Data Warehouse and implementing incremental ETL orchestration at scale. With the multiple sources and types of data available in an enterprise today Azure Data factory enables full integration of data and enables direct storage in Azure SQL Data Warehouse for powerful and high-performance query workloads which drive a majority of enterprise applications and business intelligence applications.

Azure Lowlands: An intro to Azure Data Lake

Rick van den Bosch

Snowflake Datawarehouse Architecturing

Ishan Bhawantha Hewanayake

Jax Cloud 2016 Microsoft Ignite Recap

Ben Stegink

Azure Synapse 101 Webinar Presentation

Matthew W. Bowers

5 Comparing Microsoft Big Data Technologies for Analytics

Jen Stirrup

HA/DR options with SQL Server in Azure and hybrid

James Serra

A lap around Azure Data Factory

BizTalk360

Azure Data Factory is one of the newer data services in Microsoft Azure and is part of the Cortana Analyics Suite, providing data orchestration and movement capabilities. This session will describe the key components of Azure Data Factory and take a look at how you create data transformation and movement activities using the online tooling. Additionally, the new tooling that shipped with the recently updated Azure SDK 2.8 will be shown in order to provide a quickstart for your cloud ETL projects.

Azure synapse analytics overview elasta cloud3

Richard Conway

This document provides an overview of Azure Synapse Analytics, a limitless analytics service that brings together data warehousing and big data analytics capabilities. It discusses how businesses currently have to maintain separate systems for operational data/relational data and big data/semi-structured data, which Azure Synapse addresses by providing a single service for end-to-end analytics using technologies like SQL and Spark across data warehouses and data lakes at cloud scale with unmatched speed.

Adam azure presentation

Microsoft Developer Network (MSDN) - Belgium and Luxembourg

This document discusses Microsoft Azure and its capabilities. It highlights that Azure has over 100 datacenters globally, with 19 regions currently online. It also notes that Azure has one of the top 3 networks in the world and offers larger VM sizes than AWS or Google Cloud. The document then summarizes some of Azure's core capabilities like compute, storage, databases, analytics and more. It provides examples of how customers can use Azure's tools and services.

What's new in SQL Server 2016

James Serra

The document summarizes new features in SQL Server 2016 SP1, organized into three categories: performance enhancements, security improvements, and hybrid data capabilities. It highlights key features such as in-memory technologies for faster queries, always encrypted for data security, and PolyBase for querying relational and non-relational data. New editions like Express and Standard provide more built-in capabilities. The document also reviews SQL Server 2016 SP1 features by edition, showing advanced features are now more accessible across more editions.

Is there a way that we can build our Azure Data Factory all with parameters b...

Erwin de Kreuk

Is there a way that we can build our Data Factory all with parameters all based on MetaData? Yes there's and I will show you how to. During this session I will show how you can load Incremental or Full datasets from your sql database to your Azure Data Lake. The next step is that we want to track our history from these extracted tables. We will do this with Azure Databricks using Delta Lake. The last step that we want, is to make this data available in Azure SQL Database or Azure Synapse Analytics. Oh and we want to have some logging as well from our processes A lot to talk and to demo about during this session.

J1 T1 3 - Azure Data Lake store & analytics 101 - Kenneth M. Nielsen

MS Cloud Summit

This document provides an overview and demonstration of Azure Data Lake Store and Azure Data Lake Analytics. The presenter discusses how Azure Data Lake can store and analyze large amounts of data in its native format. Key capabilities of Azure Data Lake Store like unlimited storage, security features, and support for any data type are highlighted. Azure Data Lake Analytics is presented as an elastic analytics service built on Apache YARN that can process large amounts of data. The U-SQL language for big data analytics is demonstrated, along with using Visual Studio and PowerShell for interacting with Azure Data Lake. The presentation concludes with a question and answer section.

Microsoft cloud big data strategy

James Serra

Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.

Azure Data Lake and Azure Data Lake Analytics

Waqas Idrees

This document provides an overview and introduction to Azure Data Lake Analytics. It begins with defining big data and its characteristics. It then discusses the history and origins of Azure Data Lake in addressing massive data needs. Key components of Azure Data Lake are introduced, including Azure Data Lake Store for storing vast amounts of data and Azure Data Lake Analytics for performing analytics. U-SQL is covered as the query language for Azure Data Lake Analytics. The document also touches on related Azure services like Azure Data Factory for data movement. Overall it aims to give attendees an understanding of Azure Data Lake and how it can be used to store and analyze large, diverse datasets.

Spark and Couchbase– Augmenting the Operational Database with Spark

Matt Ingenthron

What's hot (20)

Overview on Azure Machine Learning

Azure Synapse Analytics

Azure Synapse Analytics Overview (r2)

Modern data warehouse

Develop scalable analytical solutions with Azure Data Factory & Azure SQL Dat...

Azure Lowlands: An intro to Azure Data Lake

Snowflake Datawarehouse Architecturing

Jax Cloud 2016 Microsoft Ignite Recap

Azure Synapse 101 Webinar Presentation

5 Comparing Microsoft Big Data Technologies for Analytics

HA/DR options with SQL Server in Azure and hybrid

A lap around Azure Data Factory

Azure synapse analytics overview elasta cloud3

Adam azure presentation

What's new in SQL Server 2016

Is there a way that we can build our Azure Data Factory all with parameters b...

J1 T1 3 - Azure Data Lake store & analytics 101 - Kenneth M. Nielsen

Microsoft cloud big data strategy

Azure Data Lake and Azure Data Lake Analytics

Spark and Couchbase– Augmenting the Operational Database with Spark

Similar to azure synapse analytics end-to-end solution-hands-on at 20200728

Techorama Belgium 2019: top Azure security fails and how to avoid them

Karl Ots

Running OpenStack + MidoNet (Using Orizuru)

VirtualTech Japan Inc.

DevSum - Top Azure security fails and how to avoid them

Karl Ots

Running OpenStack and Midonet - Nobuyuki Tamaoki, Virtual Tech Japan

MidoNet

GAB 2017 NICE - Docker Hands-On-Lab

AZUG FR

This document outlines two hands-on Docker labs presented by Anthony Costeseque, Estelle Auberix, and Jean-François Berenguer. The first lab teaches how to create an Azure Container Service, connect to it using SSH, build Docker images, run containers, and delete the service. The second lab adds exercises on pushing images to Docker Hub and orchestrating containers with Swarm, DC/OS and Kubernetes. Both labs are estimated to take 60-75 minutes and provide resources to follow along.

IT Camp 19: Top Azure security fails and how to avoid them

Karl Ots

AKS Azure Kubernetes Services - Azure Nights melbourne feb 2018

Jorge Arteiro

This document outlines a presentation on Azure Kubernetes Services (AKS) and the steps to set up a development environment and deploy applications to AKS. It includes enabling Windows features for containers and the Windows Subsystem for Linux (WSL), installing client tools like Docker, Helm, Azure CLI and Visual Studio Code, creating an AKS cluster with Azure CLI commands, and deploying applications from source code to Kubernetes using Helm. It also discusses integrating AKS with other Azure services and includes demo use cases and relevant links.

Using GitHub Actions to Deploy your Workloads to Azure

Kasun Kodagoda

Ansible benelux meetup - Amsterdam 27-5-2015

Pavel Chunyayev

1) Ansible is being used at Backbase to automate the provisioning of different server configurations for testing their Customer Experience Platform (CXP). 2) A REST API and UI allow users to easily provision new environments from available server stacks configured with Ansible for testing. 3) This enables Backbase to implement continuous delivery practices like automated testing of new versions without affecting production environments.

Splunk: Forward me the REST of those shells

Anthony D Hendricks

Splunk forwarders were used to gain initial access to a network by exploiting their default credentials and REST API. This allowed deploying a malicious app that provided a shell. The shell was then used to pillage other systems by abusing credentials and data found in Chef scripts and GitHub repositories. Mitigations include changing default credentials, disabling the REST API on forwarders, improving logging and monitoring for unusual app deployments, using TLS for deployment server communications, and running Splunk in a less privileged manner.

Jupyter con meetup extended jupyter kernel gateway

Luciano Resende

Open Source Private Cloud Management with OpenStack and Security Evaluation w...

XHANI TRUNGU

Cloud Device Insecurity

Jeremy Brown

Your data is much safer at home than it is letting some corporation "take care of it" for you, right? Security reviews for some of the top vendors' devices reveal many interesting findings. Like everything else, there are bugs. But knowing what kinds of bugs and how the vendors have responded will allow you to better understand the impact of plugging these devices into your network. Jeremy will show you just how low access control and least privilege are their list of priorities. He'll also explore the amount of test collateral and debug interfaces sloppily left shipping to consumers. From remote roots to stealing social network tokens to just plain weird stuff, he'll expand on how it's not just about what they do, but also what they don't do. And, he'll give you some useful guidelines on how to close the gaps yourself.

OWASP 2014 AppSec EU ZAP Advanced Features

Simon Bennetts

The document discusses the advanced features of OWASP ZAP, an open source web application penetration testing tool. It provides an overview of ZAP's main features like its intercepting proxy, scanners, spiders, and add-ons marketplace. It then describes some advanced features in more depth, including contexts for organizing tests, advanced scanning options, scripting with languages like Zest, and the Plug-n-Hack framework for deeper browser integration. The document concludes by noting various work-in-progress projects and encouraging involvement in ZAP's ongoing development.

DevOpsDaysRiga 2017: Mandi Walls - Building security into your workflow with ...

DevOpsDays Riga

This document discusses using InSpec to build security checks into development workflows. It provides an example of using InSpec to check that an SSH configuration is using version 2. InSpec makes it possible to write tests against system configurations and services in a human-readable format. Tests can be packaged into shareable profiles and run during development and deployment to automate compliance checking.

BSides Manchester 2014 ZAP Advanced Features

Simon Bennetts

The document discusses the advanced features of OWASP ZAP, an open source web application penetration testing tool. It provides statistics on ZAP's usage and development community. Key advanced features discussed include contexts for scoping tests, advanced scanning options, scripting through languages like Zest and JavaScript, plug-n-hack for browser integration, and various works in progress. The source code is currently hosted on Google Code but may move to GitHub.

FaaS by Microsoft: Azure Functions and Azure Durable Functions

Christian Lechner

Serverless and especially Functions as a Service are en vogue these days and every cloud provider has their own offering. In this talk, Christian Lechner will show you what Microsoft brings to the table offering Azure Functions. In addition, we will take a look at an extension of these functions, namely Durable Functions. They make your life easier when dealing with real world workflow-like scenarios. As talk is cheap, you will see some live coding to get insights to Azure Functions as well as into the experience when working in the Azure environment.

Codership's galera cluster installation and quickstart webinar march 2016

Sakari Keskitalo

In this webinar, we will describe how to get started with Galera Cluster and build a functional multi-master cluster. First, will show how to easily install the required packages using the new preferred installation method – the dedicated Galera package repository. Then we will discuss the important Galera configuration settings and how to select values for them. Finally, we will demonstrate how to bootstrap a 3-node Galera installation with the right sequence of steps. Once the nodes are up and running we will discuss how to monitor the health of the cluster and which status variables are important to watch. Galera Cluster is trusted by thousands of users. Galera Cluster powers Percona XtraDB Cluster and MariaDB Enterprise Cluster. This is a webinar presented by Codership, the developers and experts of Galera Cluster.

Codership's galera cluster installation and quickstart webinar march 2016

Sakari Keskitalo

Codership's galera cluster installation and quickstart webinar march 2016

Codership Oy - Creators of Galera Cluster

Recently uploaded

Why do You Have to Redesign?_Redesign Challenge Day 1

FellyciaHikmahwarani

Implementations of Fused Deposition Modeling in real world

Emerging Tech

The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries: 1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes. 2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions. 3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines. 4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors. 5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering. 6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands. 7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems. 8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering. 9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively. Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.

Pigging Solutions Sustainability brochure.pdf

Pigging Solutions

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

Coordinate Systems in FME 101 - Webinar Slides

Safe Software

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

Interaction Latency: Square's User-Centric Mobile Performance Metric

ScyllaDB

Mobile performance metrics often take inspiration from the backend world and measure resource usage (CPU usage, memory usage, etc) and workload durations (how long a piece of code takes to run). However, mobile apps are used by humans and the app performance directly impacts their experience, so we should primarily track user-centric mobile performance metrics. Following the lead of tech giants, the mobile industry at large is now adopting the tracking of app launch time and smoothness (jank during motion). At Square, our customers spend most of their time in the app long after it's launched, and they don't scroll much, so app launch time and smoothness aren't critical metrics. What should we track instead? This talk will introduce you to Interaction Latency, a user-centric mobile performance metric inspired from the Web Vital metric Interaction to Next Paint"" (web.dev/inp). We'll go over why apps need to track this, how to properly implement its tracking (it's tricky!), how to aggregate this metric and what thresholds you should target.

GDG Cloud Southlake #34: Neatsun Ziv: Automating Appsec

James Anderson

The lecture titled "Automating AppSec" delves into the critical challenges associated with manual application security (AppSec) processes and outlines strategic approaches for incorporating automation to enhance efficiency, accuracy, and scalability. The lecture is structured to highlight the inherent difficulties in traditional AppSec practices, emphasizing the labor-intensive triage of issues, the complexity of identifying responsible owners for security flaws, and the challenges of implementing security checks within CI/CD pipelines. Furthermore, it provides actionable insights on automating these processes to not only mitigate these pains but also to enable a more proactive and scalable security posture within development cycles. The Pains of Manual AppSec: This section will explore the time-consuming and error-prone nature of manually triaging security issues, including the difficulty of prioritizing vulnerabilities based on their actual risk to the organization. It will also discuss the challenges in determining ownership for remediation tasks, a process often complicated by cross-functional teams and microservices architectures. Additionally, the inefficiencies of manual checks within CI/CD gates will be examined, highlighting how they can delay deployments and introduce security risks. Automating CI/CD Gates: Here, the focus shifts to the automation of security within the CI/CD pipelines. The lecture will cover methods to seamlessly integrate security tools that automatically scan for vulnerabilities as part of the build process, thereby ensuring that security is a core component of the development lifecycle. Strategies for configuring automated gates that can block or flag builds based on the severity of detected issues will be discussed, ensuring that only secure code progresses through the pipeline. Triaging Issues with Automation: This segment addresses how automation can be leveraged to intelligently triage and prioritize security issues. It will cover technologies and methodologies for automatically assessing the context and potential impact of vulnerabilities, facilitating quicker and more accurate decision-making. The use of automated alerting and reporting mechanisms to ensure the right stakeholders are informed in a timely manner will also be discussed. Identifying Ownership Automatically: Automating the process of identifying who owns the responsibility for fixing specific security issues is critical for efficient remediation. This part of the lecture will explore tools and practices for mapping vulnerabilities to code owners, leveraging version control and project management tools. Three Tips to Scale the Shift Left Program: Finally, the lecture will offer three practical tips for organizations looking to scale their Shift Left security programs. These will include recommendations on fostering a security culture within development teams, employing DevSecOps principles to integrate security throughout the development

5G bootcamp Sep 2020 (NPI initiative).pptx

SATYENDRA100

Lessons Of Binary Analysis - Christien Rioux

crioux1

this resume for sadika shaikh bca student

SadikaShaikh7

Quality Patents: Patents That Stand the Test of Time

Aurora Consulting

Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality. Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality. Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality. Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank? ** Episode Overview ** In this first episode of our quality series, Kristen Hansen and the panel discuss: ⦿ What do we mean when we say patent quality? ⦿ Why is patent quality important? ⦿ How to balance quality and budget ⦿ The importance of searching, continuations, and draftsperson domain expertise ⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications https://www.aurorapatents.com/patently-strategic-podcast.html

Observability For You and Me with OpenTelemetry

Eric D. Schabell

Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data. The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs. Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution! Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.

What's Next Web Development Trends to Watch.pdf

SeasiaInfotech2

Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops

Mydbops

This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization. Key Takeaways: * Understand why connection pooling is essential for high-traffic applications * Explore various connection poolers available for PostgreSQL, including pgbouncer * Learn the configuration options and functionalities of pgbouncer * Discover best practices for monitoring and troubleshooting connection pooling setups * Gain insights into real-world use cases and considerations for production environments This presentation is ideal for: * Database administrators (DBAs) * Developers working with PostgreSQL * DevOps engineers * Anyone interested in optimizing PostgreSQL performance Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services

Knowledge and Prompt Engineering Part 2 Focus on Prompt Design Approaches

Earley Information Science

In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance. Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.

What’s New in Teams Calling, Meetings and Devices May 2024

Stephanie Beckett

Running a Go App in Kubernetes: CPU Impacts

ScyllaDB

What Not to Document and Why_ (North Bay Python 2024)

Margaret Fero

We’re hopefully all on board with writing documentation for our projects. However, especially with the rise of supply-chain attacks, there are some aspects of our projects that we really shouldn’t document, and should instead remediate as vulnerabilities. If we do document these aspects of a project, it may help someone compromise the project itself or our users. In this talk, you will learn why some aspects of documentation may help attackers more than users, how to recognize those aspects in your own projects, and what to do when you encounter such an issue. These are slides as presented at North Bay Python 2024, with one minor modification to add the URL of a tweet screenshotted in the presentation.

How Netflix Builds High Performance Applications at Global Scale

ScyllaDB

Blockchain and Cyber Defense Strategies in new genre times

anupriti

Explore robust defense strategies at the intersection of blockchain technology and cybersecurity. This presentation delves into proactive measures and innovative approaches to safeguarding blockchain networks against evolving cyber threats. Discover how secure blockchain implementations can enhance resilience, protect data integrity, and ensure trust in digital transactions. Gain insights into cutting-edge security protocols and best practices essential for mitigating risks in the blockchain ecosystem.

STKI Israeli Market Study 2024 final v1

Dr. Jimmy Schwarzkopf

Recently uploaded (20)

Why do You Have to Redesign?_Redesign Challenge Day 1

Implementations of Fused Deposition Modeling in real world

Pigging Solutions Sustainability brochure.pdf

Coordinate Systems in FME 101 - Webinar Slides

Interaction Latency: Square's User-Centric Mobile Performance Metric

GDG Cloud Southlake #34: Neatsun Ziv: Automating Appsec

5G bootcamp Sep 2020 (NPI initiative).pptx

Lessons Of Binary Analysis - Christien Rioux

this resume for sadika shaikh bca student

Quality Patents: Patents That Stand the Test of Time

Observability For You and Me with OpenTelemetry

What's Next Web Development Trends to Watch.pdf

Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - Mydbops

Knowledge and Prompt Engineering Part 2 Focus on Prompt Design Approaches

What’s New in Teams Calling, Meetings and Devices May 2024

Running a Go App in Kubernetes: CPU Impacts

What Not to Document and Why_ (North Bay Python 2024)

How Netflix Builds High Performance Applications at Global Scale

Blockchain and Cyber Defense Strategies in new genre times

STKI Israeli Market Study 2024 final v1

azure synapse analytics end-to-end solution-hands-on at 20200728

1. Azure Synapse Analytics end-to-end solution hands-on tips

2. # hands-on note 1. Enable “Synapse” resource provider on your subscription with following next pages 2. Visit https://github.com/microsoft/MCW-Azure-Synapse-Analytics-and-AI 3. Open “Hands-on lab/Before the HOL - Azure Synapse Analytics and AI.md” • Task 2: Put • Require to choose your region among below * 'westus2,eastus,northeurope,westeurope,southeastasia,australiaeast, westcentralus,southcentralus,eastus2,uksouth,westus' • “Unique Suffix” as unique globally but avoid long one • Confirm on other page to avoid long “Unique Suffix” error • Azure resources deployments would take about 10 min • Task 4: Make sure to execute and complete “az login“ on Cloud Shell – Azure Portal • Task 5: Command completion would take about 8 min 4. Open “Hands-on lab/HOL step-by step - Azure Synapse Analytics and AI.md” • Today’s goal is to complete until exercise 4 • Exercise 2 • Task 2 • 18: Refresh browser with F5 if mapping between input and output columns wouldn’t come up • 26: Data copy will takes about 45 min

3. Enable “Synapse” on your subscription (1/2)

4. Enable “Synapse” on your subscription (2/2)

5. # long “Unique Suffix” error

azure synapse analytics end-to-end solution-hands-on at 20200728

More Related Content

What's hot

What's hot (20)

Similar to azure synapse analytics end-to-end solution-hands-on at 20200728

Similar to azure synapse analytics end-to-end solution-hands-on at 20200728 (20)

Recently uploaded

Recently uploaded (20)

azure synapse analytics end-to-end solution-hands-on at 20200728