Presto: Distributed SQL on Anything - Strata Hadoop 2017 San Jose, CAkbajda
Teradata joined the Presto community in 2015 and is now a leading contributor to this open source SQL engine, originally created by Facebook. The project has a rapidly growing community of users, including Airbnb, FINRA, Netflix, Twitter, and Uber. Kamil Bajda-Pawlikowski explores the key architectural components that allow querying variety of data sources and make Presto uniquely position to be applied in both Hadoop and Cloud use cases. Along the way, Kamil covers Teradata’s recent enhancements in query performance, security integrations, and ANSI SQL coverage and shares the roadmap for 2017 and beyond.
Presto: Distributed SQL on Anything - Strata Hadoop 2017 San Jose, CAkbajda
Teradata joined the Presto community in 2015 and is now a leading contributor to this open source SQL engine, originally created by Facebook. The project has a rapidly growing community of users, including Airbnb, FINRA, Netflix, Twitter, and Uber. Kamil Bajda-Pawlikowski explores the key architectural components that allow querying variety of data sources and make Presto uniquely position to be applied in both Hadoop and Cloud use cases. Along the way, Kamil covers Teradata’s recent enhancements in query performance, security integrations, and ANSI SQL coverage and shares the roadmap for 2017 and beyond.
Boston Hadoop Meetup: Presto for the EnterpriseMatt Fuller
Presentation Title: Presto for the Enterprise
Presenter(s): Matt Fuller and Kamil Bajda-Pawlikowski
Company: Teradata Center for Hadoop
Short Description:
Teradata will provide a technical overview and demo of Presto, focusing on Presto's architecture and Teradata's contributions to the project and community. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Originally developed by Facebook, Teradata now joins Facebook as the second largest contributor to the open source project. Come join us and learn more about Presto. And how you can join the Presto community.
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Presto @ Treasure Data - Presto Meetup Boston 2015Taro L. Saito
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
Tempto is a product test framework that allows developers to write and execute tests for SQL databases running on Hadoop. Individual test requirements such as data generation, HDFS file copy/storage of generated data and schema creation are expressed declaratively and are automatically fulfilled by the framework. Developers can write tests using Java (using a TestNG like paradigm and AssertJ style assertion) or by providing query files with expected results. We will show how we use it for presto product tests.
Benchto is a benchmark framework that provides an easy and manageable way to define, run and analyze macro benchmarks in clustered environment. Understanding behavior of distributed systems is hard and requires good visibility intostate of the cluster and internals of tested system. This project was developed for repeatable benchmarking ofHadoop SQL engines, most importantly Presto.
Lessons PostgreSQL learned from commercial databases, and didn’tPGConf APAC
This is the ppt used by Illay for his presentation at pgDay Asia 2016 - "Lessons PostgreSQL learned from commercial
databases, and didn’t". The talk takes you through some of the really good things that PostgreSQL has done really well and somethings that PostgreSQL can learn from other databases
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Matt Fuller
Teradata has been hard at work on Presto, and we want to share with you what we've done so far and our roadmap going forward. From presto-admin, a tool for installing and administering Presto, to YARN/Ambari support, to fully certified JDBC and ODBC drivers, we are committed to making Presto the best, most enterprise-ready SQL-on Hadoop solution out there.
PostgreSQL Enterprise Class Features and CapabilitiesPGConf APAC
These are the slides used by Venkar from Fujitsu for his presentation at pgDay Asia 2016. He spoke about some of the Enterprise Class features of PostgreSQL database.
Boston Hadoop Meetup: Presto for the EnterpriseMatt Fuller
Presentation Title: Presto for the Enterprise
Presenter(s): Matt Fuller and Kamil Bajda-Pawlikowski
Company: Teradata Center for Hadoop
Short Description:
Teradata will provide a technical overview and demo of Presto, focusing on Presto's architecture and Teradata's contributions to the project and community. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Originally developed by Facebook, Teradata now joins Facebook as the second largest contributor to the open source project. Come join us and learn more about Presto. And how you can join the Presto community.
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Presto @ Treasure Data - Presto Meetup Boston 2015Taro L. Saito
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
Tempto is a product test framework that allows developers to write and execute tests for SQL databases running on Hadoop. Individual test requirements such as data generation, HDFS file copy/storage of generated data and schema creation are expressed declaratively and are automatically fulfilled by the framework. Developers can write tests using Java (using a TestNG like paradigm and AssertJ style assertion) or by providing query files with expected results. We will show how we use it for presto product tests.
Benchto is a benchmark framework that provides an easy and manageable way to define, run and analyze macro benchmarks in clustered environment. Understanding behavior of distributed systems is hard and requires good visibility intostate of the cluster and internals of tested system. This project was developed for repeatable benchmarking ofHadoop SQL engines, most importantly Presto.
Lessons PostgreSQL learned from commercial databases, and didn’tPGConf APAC
This is the ppt used by Illay for his presentation at pgDay Asia 2016 - "Lessons PostgreSQL learned from commercial
databases, and didn’t". The talk takes you through some of the really good things that PostgreSQL has done really well and somethings that PostgreSQL can learn from other databases
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Matt Fuller
Teradata has been hard at work on Presto, and we want to share with you what we've done so far and our roadmap going forward. From presto-admin, a tool for installing and administering Presto, to YARN/Ambari support, to fully certified JDBC and ODBC drivers, we are committed to making Presto the best, most enterprise-ready SQL-on Hadoop solution out there.
PostgreSQL Enterprise Class Features and CapabilitiesPGConf APAC
These are the slides used by Venkar from Fujitsu for his presentation at pgDay Asia 2016. He spoke about some of the Enterprise Class features of PostgreSQL database.
APACHE TOREE: A JUPYTER KERNEL FOR SPARK by Marius van NiekerkSpark Summit
Many data scientists are already making heavy usage of the Jupyter ecosystem for analyzing data using interactive notebooks.
Apache Toree (incubating) is a Jupyter kernel designed to act as a gateway to Spark by enabling users Spark from standard Jupyter notebooks. This allows users to easily integrate Spark into their existing Jupyter deployments, This allows users to easily move between languages and contexts without needing to switch to a different set of tools.
Apache Toree is designed expressly for interactive work. It supports interpreters in Scala, Python, and R.
In this talk, I will cover the design of Toree, how it interacts with the Jupyter ecosystem and various ways in which users can extend the functionality of Apache Toree via a powerful plugin system.
Release Management with Visual Studio Team Services and Office Dev PnPPetter Skodvin-Hvammen
Learn about the capabilities of Visual Studio Online Services:
– how you can setup continuous builds whenever a change is committed to the source repository
– how to setup scheduled builds and deploys
– how to target deployments for your dev, test, uat and prod environments
– how to manage release security and use approval workflows
Also learn how you can use Office Dev PnP PowerShell to support rapid and automated deployments and about other alternatives out there
pandas.(to/from)_sql is simple but not fastUwe Korn
Pandas provides convenience methods to read and write to databases using to_sql and read_sql. They provide great usability and a uniform interface for all databases that support an SQL Alchemy connection. Sadly, the layer of convenience also introduces a performance loss. Luckily, for a lot of databases, a performant access layer is available.
What SQL DBAs need to know about SharePoint-Kansas City, Sept 2013J.D. Wade
With the number of deployments of SharePoint exponentially growing every day, as a DBA, it is very likely you are going to have SharePoint databases on SQL Servers you support. This session reviews SharePoint strictly from the SQL Server perspective. You will learn how SharePoint is optimized for SQL, how to properly manage and maintain the SharePoint databases, how to optimize the SQL configuration for SharePoint, what settings in SharePoint need to be changed or not changed to maintain SQL Server performance, supported methods for providing high availability and disaster recovery, and the part SharePoint and SQL each play in the Microsoft Business Intelligence story.
Presto – Today and Beyond – The Open Source SQL Engine for Querying all Data...Dipti Borkar
Born at Facebook, Presto is an open source high performance, distributed SQL query engine. With the disaggregation of storage and compute, Presto was created to simplify querying of all data lakes - cloud data lakes like S3 and on premise data lakes like HDFS. Presto's high performance and flexibility has made it a very popular choice for interactive query workloads on large Hadoop-based clusters as well as AWS S3, Google Cloud Storage and Azure blob store. Today it has grown to support many users and use cases including ad hoc query, data lake house analytics, and federated querying. In this session, we will give an overview on Presto including architecture and how it works, the problems it solves, and most common use cases. We'll also share the latest innovation in the project as well as the future roadmap.
Nico präsentieren eine aktualisierte Version seiner Connect 2017 Session, die nun auch Connections 6 und Orient Me Themen enthält. Machen Sie sich bereit, 60 Tipps und Tricks zu lernen, welche Sie sofort in Ihre Connections-Umgebung implementieren können um diese zu verbessern! Ihre Benutzer werden sich bedanken, denn sie werden auch von diesen Best Practice Tipps, die aus realen Projekten gesammelt wurde! Verlassen Sie diesen Vortrag mit Wissen über Cognos, Docs, CCM, FEB und Orient Me sowie DB2, TDI, SSO und IBM Cloud private.
SharePoint Performance Monitoring with Sean P. McDonoughGabrijela Orsag
We teamed up with a real SharePoint expert and a Microsoft MVP, Sean Patrick McDonough, to bring you yet another free educational webinar.
This session will deep dive into SharePoint server monitoring with detailed lecture and live demo presenting the most important use cases.
What will you learn?
- Monitor specific SharePoint roles by tracking their performance counters
- Track services and SharePoint site metrics
- Detect changes in SharePoint server configuration
- Receive real-time alerts for any potential issues in your environment
- Reduce your page load times by detecting and fixing problematic SharePoint services
https://www.syskit.com/products/monitor/
Monitoring is a critical element of the database ecosystem and for overall performance of the database. It also helps ensure that your database is in a healthy state and contributing to the long term stability of your database and application.
Monitoring becomes tricky without knowing what to monitor and how to monitor those variables.
What you will learn in this webinar:
1. Why is it essential to monitor Postgres?
2. The proactive and reactive monitoring approaches and how they help handle future problems
3. The top 10 monitoring checklist
4. When not to monitor
5. A deeper dive into open source tools for monitoring with Prometheus and Grafana
During this webinar, we will review best practices and lessons learned from working with large and mid-size companies on their deployment of PostgreSQL. We will explore the practices that helped industry leaders move through these stages quickly, and get as much value out of PostgreSQL as possible without incurring undue risk.
We have identified a set of levers that companies can use to accelerate their success with PostgreSQL:
- Application Tiering
- Collaboration between DBAs and Development Teams
- Evangelizing
- Standardization and Automation
- Balance of Migration and New Development
Client Side Performance for Back End Developers - Cambridge .NET User Group -...Bart Read
Updated version of my client side performance talk, which is based around Google's RAIL user-centric performance model. This is very much aimed towards back-end, or full stack developers more used to working behind the scenes, who may be less comfortable with JavaScript and other front-end performance concerns.
SPS calgary 2017 introduction to azure functions microsoft flowVincent Biret
Slides of the session introduction to Microsoft flow and azure functions during SPSYYC. Lean to create no-code powerful workflows and extend those in a matter of minutes with Azure Functions
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Quantum Computing: Current Landscape and the Future Role of APIs
Presto in my_use_case
1. Presto in my use case
Presto Meetup 2015/01/20
http://eventdots.jp/event/276987
@wyukawa
2. Agenda
• Log Analysis System Overview
• Why do I select Presto?
• How do I use Presto?
• How do I manage Presto?
• My impression for Presto
3. Log Analysis System Overview
Hadoop, Hive of HDP2.1
Azkaban
2.6.4
Presto 0.89
Cognos
10.2.1
Prestogres
0.4.8
DB
MySQL 5.5
DBDB
ETL with
Python 2.7.7
InfiniDB
Pentaho
Saiku
Shib
4. Why do I select Presto?
• my familiar(on Twitter) people use
• comparison with other is a bother
• Let s try!
5. How do I use Presto?
• batch with Hive on MR2(not Tez)
• select only with Presto
• execute adhoc query
• report by Cognos with Prestogres
• create presto view
http://d.hatena.ne.jp/wyukawa/20140824/1408881620
6. What is Cognos?
• Commercial BI tool by IBM
• Pros
• authorization management
• flexible reporting(but not easy)
• Cons
• slow rendering speed
• no permanent link
• difficult to understand error message
• web site(especially download site) is bad
• Windows and IE are necessary
8. Why do I use Prestogres?
• Interesting
• MySQL is possible to be a bottleneck
• Hadoop is easier to scale than MySQL
• reduce maintenance cost for multi storages
• but not achieve
9. Prestogres in my use case
Presto 0.89
Cognos
10.2.1
Prestogres
0.4.8
Prestogres
ODBC Driver
It is not easy to connect Cognos to Presto.
Thanks! > @frsyuki
http://d.hatena.ne.jp/wyukawa/20140623/1403521909
10. Problem in my use case
• Cognos don t issue where cause with Presgtogres+ODBC
• select … from … where yyyymmdd= 20150120 …
• slow rendering because of no predicate pushdown
• workaround is to use bigint to where cause, not string
• solution(not deploy in production. BTW, Thanks! > @frsyuki )
• Cognos 10.2.2
• patched(protocolVersion=2) PostgreSQL JDBC Driver
• Prestogres 0.6.3
• Presto 0.86
• increase dentry cache
http://d.hatena.ne.jp/wyukawa/20141216/1418706186
11. How do I manage Presto?
• How to deploy Presto?
• use Ansible
• Presto Setting
• task.cpu-timer-enabled=false
• How to monitor Presto?
• GrowthForecast + jstat2gf, JMX
• slow query visualization by nata2
http://d.hatena.ne.jp/wyukawa/20140803/1407052542
http://d.hatena.ne.jp/wyukawa/20141218/1418882574
12. My impression for Presto
• stable
• frequent version up
• easy to install
• easy to upgrade
• but failed at 0.80, 0.87
• leverage effect
