Presto was updated from version 0.152 to 0.178. New features in the update include lambda expressions, filtered aggregation, a VALIDATE mode for EXPLAIN, compressed exchange, and complex grouping operations. The update also added new functions and deprecated some legacy features with warnings. Future work on Presto includes disk spill optimization and a cost-based optimizer.
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 is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
One of the key differences between Presto and Hive, also a crucial functional requirement Facebook made when launching this new SQL engine project, was to have the opportunity to query different kinds of data sources via a uniform ANSI SQL interface.
Presto, an open source distributed analytical SQL engine, implements this with it’s connector architecture, creating an abstraction layer for anything that can be expressed as in a row-like format, ranging from MySQL tables, HDFS, Amazon S3 to NoSQL stores, Kafka streams and proprietary data sources. Presto connector SPI allows anyone to implement a Presto connector and benefit from the capabilities of the Presto SQL engine, enabling them to join data from various sources within a single SQL query.
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 is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
One of the key differences between Presto and Hive, also a crucial functional requirement Facebook made when launching this new SQL engine project, was to have the opportunity to query different kinds of data sources via a uniform ANSI SQL interface.
Presto, an open source distributed analytical SQL engine, implements this with it’s connector architecture, creating an abstraction layer for anything that can be expressed as in a row-like format, ranging from MySQL tables, HDFS, Amazon S3 to NoSQL stores, Kafka streams and proprietary data sources. Presto connector SPI allows anyone to implement a Presto connector and benefit from the capabilities of the Presto SQL engine, enabling them to join data from various sources within a single SQL query.
Presto, an open source distributed SQL engine originally built at Facebook, has a rapidly growing community of developers and users. In this talk, speakers from both Facebook and Teradata, will discuss technical details of some of the recent developments such as integration with Hadoop ecosystem (YARN/Slider and Ambari), security features (Kerberos), enabling BI tools via JDBC/ODBC drivers, new connectors (Redis, MongoDB) and storage engines (Raptor) as well as improvements in performance and ANSI SQL coverage. In addition, we will present a few use cases and major new users that leverage interactive SQL capabilities Presto offers. Finally, we will present our roadmap for the next year.
See the video at https://youtu.be/wMy3LXuTb0U
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.
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.
Expand data analysis tool at scale with ZeppelinDataWorks Summit
Apache Zeppelin is one of the tools to help users and developers enrich their analysis with beautiful visualization without any additional work. But recently, teams and cooperation started to use it as a team and a cooperate tool, and they are suffering. Thus it should be improved to be used in multiple teams and in a cooperation to overcome an individual tool.
I will explain how to configure Apache Zeppelin and its useful interpreters including Spark and JDBC to help multiple users and teams use it simultaneously, and how to adopt LDAP and Kerberos to authenticate and authorize valid users. The presentation also includes a specific example of line case, what to have developed for realizing these use cases, and the feature roadmap to make a more powerful tool in a production level. For a long time, Apache Zeppelin has focused on making a result beautiful, but now, it should do its efforts to make it a more convenient tool by hiding some sophisticated settings and providing easier configuration. JONGYOUL LEE, Software Development Engineer, LINE
Hoodie: How (And Why) We built an analytical datastore on SparkVinoth Chandar
Exploring a specific problem of ingesting petabytes of data in Uber and why they ended up building an analytical datastore from scratch using Spark. Then, discuss design choices and implementation approaches in building Hoodie to provide near-real-time data ingestion and querying using Spark and HDFS.
https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/
Big Data Camp LA 2014 - Apache Tajo: A Big Data Warehouse System on HadoopGruter
Apache Tajo is an open source big data warehouse system on Hadoop. This slide is a presentation material used in Big Data Camp LA 2014. This slide shows an introduction to Apache Tajo and the current status of the project. The current status includes cost-based optimization and the current supported SQL feature set.
Very Large Data Files, Object Stores, and Deep Learning—Lessons Learned While...Databricks
In this session, IBM will present details on advanced Apache Spark analytics currently being performed through a collaborative project with the SETI Institute, NASA, Swinburne University, Stanford University and IBM. The Allen Telescope Array in northern California has been continuously scanning the skies for over two decades, generating data archives with over 200 million signal events.
Come and learn how astronomers and researchers are using Apache Spark, in conjunction with assets such as IBM’s Cognitive Compute Cluster with over 700 GPUs, to train neural net models for signal classification, and to perform computationally intensive Spark workloads on multi-terabyte binary signal files. The speakers will also share details on one of the key components of this implementation: Stocator, an open source (Apache License 2.0) object store connector for Hadoop and Apache Spark, specifically designed to optimize their performance with object stores. Learn how Stocator works, and see how it was able to greatly improve performance and reduce the quantity of resources used, both for ground-to-cloud uploads of very large signal files, and for subsequent access of radio data for analysis using Spark.
This presentation introduces the main features of Scala, an object oriented and functional programming language. The main focus of the slides is to show how the language implements natively some of the patterns and best practices that are no present in other programming languages, such as Java, C++ and so on.
In detail, the presentation spans these concepts:
- Language's main syntax
- Classes, abstract classes, objects and traits (mixin)
- The Option class
- An introduction to generics
- Implicit classes
- Functions
- Recursion (simple and tail)
- Currying
- Call by value / name
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the Java concept of thread. It is the first part of a series of slides dedicated to concurrent programming. This slides introduces some basics concepts, such as:
- Differences between processes and threads
- Thread's basics
- Thread's states
- Introduction to UML sequence diagrams
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Presto, an open source distributed SQL engine originally built at Facebook, has a rapidly growing community of developers and users. In this talk, speakers from both Facebook and Teradata, will discuss technical details of some of the recent developments such as integration with Hadoop ecosystem (YARN/Slider and Ambari), security features (Kerberos), enabling BI tools via JDBC/ODBC drivers, new connectors (Redis, MongoDB) and storage engines (Raptor) as well as improvements in performance and ANSI SQL coverage. In addition, we will present a few use cases and major new users that leverage interactive SQL capabilities Presto offers. Finally, we will present our roadmap for the next year.
See the video at https://youtu.be/wMy3LXuTb0U
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.
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.
Expand data analysis tool at scale with ZeppelinDataWorks Summit
Apache Zeppelin is one of the tools to help users and developers enrich their analysis with beautiful visualization without any additional work. But recently, teams and cooperation started to use it as a team and a cooperate tool, and they are suffering. Thus it should be improved to be used in multiple teams and in a cooperation to overcome an individual tool.
I will explain how to configure Apache Zeppelin and its useful interpreters including Spark and JDBC to help multiple users and teams use it simultaneously, and how to adopt LDAP and Kerberos to authenticate and authorize valid users. The presentation also includes a specific example of line case, what to have developed for realizing these use cases, and the feature roadmap to make a more powerful tool in a production level. For a long time, Apache Zeppelin has focused on making a result beautiful, but now, it should do its efforts to make it a more convenient tool by hiding some sophisticated settings and providing easier configuration. JONGYOUL LEE, Software Development Engineer, LINE
Hoodie: How (And Why) We built an analytical datastore on SparkVinoth Chandar
Exploring a specific problem of ingesting petabytes of data in Uber and why they ended up building an analytical datastore from scratch using Spark. Then, discuss design choices and implementation approaches in building Hoodie to provide near-real-time data ingestion and querying using Spark and HDFS.
https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/
Big Data Camp LA 2014 - Apache Tajo: A Big Data Warehouse System on HadoopGruter
Apache Tajo is an open source big data warehouse system on Hadoop. This slide is a presentation material used in Big Data Camp LA 2014. This slide shows an introduction to Apache Tajo and the current status of the project. The current status includes cost-based optimization and the current supported SQL feature set.
Very Large Data Files, Object Stores, and Deep Learning—Lessons Learned While...Databricks
In this session, IBM will present details on advanced Apache Spark analytics currently being performed through a collaborative project with the SETI Institute, NASA, Swinburne University, Stanford University and IBM. The Allen Telescope Array in northern California has been continuously scanning the skies for over two decades, generating data archives with over 200 million signal events.
Come and learn how astronomers and researchers are using Apache Spark, in conjunction with assets such as IBM’s Cognitive Compute Cluster with over 700 GPUs, to train neural net models for signal classification, and to perform computationally intensive Spark workloads on multi-terabyte binary signal files. The speakers will also share details on one of the key components of this implementation: Stocator, an open source (Apache License 2.0) object store connector for Hadoop and Apache Spark, specifically designed to optimize their performance with object stores. Learn how Stocator works, and see how it was able to greatly improve performance and reduce the quantity of resources used, both for ground-to-cloud uploads of very large signal files, and for subsequent access of radio data for analysis using Spark.
This presentation introduces the main features of Scala, an object oriented and functional programming language. The main focus of the slides is to show how the language implements natively some of the patterns and best practices that are no present in other programming languages, such as Java, C++ and so on.
In detail, the presentation spans these concepts:
- Language's main syntax
- Classes, abstract classes, objects and traits (mixin)
- The Option class
- An introduction to generics
- Implicit classes
- Functions
- Recursion (simple and tail)
- Currying
- Call by value / name
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the Java concept of thread. It is the first part of a series of slides dedicated to concurrent programming. This slides introduces some basics concepts, such as:
- Differences between processes and threads
- Thread's basics
- Thread's states
- Introduction to UML sequence diagrams
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about the main features of UML class diagrams. The slides contain information about how to use sequence diagrams to represent components' interactions in a software system. UML 2.x featuers are also described, like frames.
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
Errori comuni nei documenti di Analisi dei RequisitiRiccardo Cardin
This presentation talks about common errors that I found in my career in documents of specification of requirements. In the presentation are described common errors on use cases, use cases' diagrams and on requirements' specification.
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the concept of design pattern in object oriented programming and design. The slides contain information about what a design pattern is, why should we use design pattern and how design patterns could be grouped togheter. The ideas presented in the slides are taken directly from GoF's book "Design Patterns".
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about the main features of UML class diagrams. The slides contain information about how to represent a class, what is a classe feature, what are possible association types, class dependency, hineritance and subtyping.
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about structural design patterns. In software engineering, structural design patterns are design patterns that ease the design by identifying a simple way to realize relationships between entities. In particular in the slides are described the following patterns:
- Decorator
- Proxy
- Facade
- Adapter
Design patterns are presented using examples in Java, Scala and Javascript.
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the main features of Swing, an UI development library for the Java ecosystem. The main focus of the slides is to show the basic features of Swing, such as:
- Main components (JFrame, JPanel, ...)
- Layout management (FlowLayout, BorderLayout, GridLayout, ...)
- Event handling
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the concept of synchronization beatween threads, as implemented in the Java platform. It is the second part of a series of slides dedicated to thread synchronization. This slides introduces the following concepts:
- Conditional locking
- Volatile variables
- Thread confinement
- Immutability
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces the concept of synchronization beatween threads, as implemented in the Java platform. It is the first part of a series of slides dedicated to thread synchronization. This slides introduces the following concepts:
- Thread safety
- Types of race conditions
- Locking (reentrant locks, intrinsic locks, synchronized blocks)
- Locking pitfalls
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces basic concepts about the Java I/O framework based on input and output streams. These slides introduce the following concepts:
- Obtaining streams
- Reading / writing bytes
- Character encodings
- Text input / output
- Random access files
- Processing files
- URLs
- Serialization
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Design pattern architetturali Model View Controller, MVP e MVVMRiccardo Cardin
This presentation talks about model view controller, model view presenter and model view viewmodel patterns. These are architectural design patterns for implementing user interfaces. They divide a given software application into three interconnected parts, so as to separate internal representations of information from the ways that information is presented to or accepted from the user. Also, they promote separation of concerns. As examples, some frameworks are reported, such as:
- Spring MVC
- BackboneJS
- AngularJS
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about dependecy injection, an architectural design pattern that aims to help developer to resolve dependencies between objects. Starting by describing general problem of dependecy resolution, the presentation continues presenting Inversion of Control (IoC) pattern, constructor injection and setting injection. As examples, some frameworks and libraries are reported, such as:
- Google Guice
- Spring framework
- AngularJS
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces some advanced concepts of threads, as implemented in the Java platform. It is part of a series of slides dedicated to threads. This slides introduces the following concepts:
- Callable
- Futures
- Executors and executor services
- Deadlocks (brief introduction)
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
Java Exception Handling, Assertions and LoggingRiccardo Cardin
This presentation introduces the java exception handling mechanisms. In detail, the main focus of the slides is to show how the language implements its exception handling polices, such as:
- Checked and uncheked exception
- Try / catch blocks
- Assertions
- Logging
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation is based on Joakim\’s experiences from moving from Java to Scala http://www.scala-lang.org/node/960#Joak We will explore how to move from Java to Scala and why. We\’ll look at things that you will run into sooner rather than later such as Scala\’s collection APIs, Options and higher order functions and special syntax. You will leave this presentation with good foundation to use Scala in practice; perhaps even in your current Java project and ideally with an appetite to learn more.
This presentation introduces basic concepts about the Java Remote Method Invocation, a.k.a. RMI. These slides introduce the following concepts:
- Remote interfaces
- Dynamic code loading
- Serialization
- Security manager
- Exporting remote objects
- Compiling and running RMI programs
- Distributed garbage collection
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about some commonly used software architecture patterns. The main features of the following architectural patterns are described:
- Layered architecture
- Event-driven architecture (both mediator and broker topology)
- Microservices architecture (API-REST based, REST based, Centralized message topology)
Each pattern is analyzed in terms of:
- Overall agility
- Ease of deployment
- Testability
- Performance
- Scalability
- Ease of develpment.
The slide refers to the online book "Software Architecture Patterns", Mark Richards, 2015, O’Reilly.
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation talks about the five SOLID principles of Object Oriented Design described by Rober C. Martin in his best-seller book "Agile Principles, Patterns, and Practices in C#". The five principle described are:
- Single Responsibility Principle
- Open-Close Principle
- Liskov Substitution Principle
- Interface Segregation Principle
- Dependency Inversion Principle
The presentation is took from the Software Engineering course I run in the bachelor-level informatics curriculum at the University of Padova.
This presentation introduces basic concepts about the Java socket abstraction. These slides introduce the following concepts:
- What is a socket
- How to implement a client program
- How to implement a server program
The presentation is took from the Java course I run in the bachelor-level informatics curriculum at the University of Padova.
MariaDB Server 10.3 is a culmination of features from MariaDB Server 10.2+10.1+10.0+5.5+5.3+5.2+5.1 as well as a base branch from MySQL 5.5 and backports from MySQL 5.6/5.7. It has many new features, like a GA-ready sharding engine (SPIDER), MyRocks, as well as some Oracle compatibility, system versioned tables and a whole lot more.
Presto, an open source distributed SQL engine, is widely recognized for its low-latency queries, high concurrency, and native ability to query multiple data sources. Proven at scale in a variety of use cases at Facebook, Airbnb, Netflix, Uber, Twitter, Bloomberg, and FINRA, Presto experienced an unprecedented growth in popularity in both on-premises and cloud deployments in the last few years.
Inspired by the increasingly complex SQL queries run by the Presto user community, engineers at Facebook and Starburst have recently focused on cost-based query optimization. In this talk we will present the initial design and implementation of the CBO, support for connector-provided statistics, estimating selectivity, and choosing efficient query plans. Then, our detailed experimental evaluation will illustrate the performance gains for several classes of queries achieved thanks to the optimizer. Finally, we will discuss our future work enhancing the initial CBO and present the general Presto roadmap for 2018 and beyond.
Speakers
Kamil Bajda-Pawlikowski, Starburst Data, CTO & Co-Founder
Martin Traverso
Introduction to libre « fulltext » technologyRobert Viseur
The presentation will be based on my personal experience on SQLite, MySQL and Zend Search ; on workshops I’ve attended (PostgreSQL) and on tests conducted under my supervision (PostgreSQL, MySQL, Sphinx, Lucene, Xapian). It will cover an exhaustive overview of existing techniques, from the most basic to the more advanced, and will lead to a comparative table of the existing technology.
Here are the slides for my talk "An intro to Azure Data Lake" at Techorama NL 2018. The session was held on Tuesday October 2nd from 15:00 - 16:00 in room 7.
Building a Complex, Real-Time Data Management ApplicationJonathan Katz
Congratulations: you've been selected to build an application that will manage whether or not the rooms for PGConf.EU are being occupied by a session!
On the surface, this sounds simple, but we will be managing the rooms of PGConf.EU, so we know that a lot of people will be accessing the system. Therefore, we need to ensure that the system can handle all of the eager users that will be flooding the PGConf.EU website checking to see what availability each of the PGConf.EU rooms has.
To do this, we will explore the following PGConf.EU features:
* Data types and their functionality, such as:
* Data/Time types
* Ranges
Indexes such as:
* GiST
* SP-Gist
* Common Table Expressions and Recursion
* Set generating functions and LATERAL queries
* Functions and the PL/PGSQL
* Triggers
* Logical decoding and streaming
We will be writing our application primary with SQL, though we will sneak in a little bit of Python and using Kafka to demonstrate the power of logical decoding.
At the end of the presentation, we will have a working application, and you will be happy knowing that you provided a wonderful user experience for all PGConf.EU attendees made possible by the innovation of PGConf.EU!
This is a talk that I gave on July 20, 2012 at the Southern California Python Interest Group meetup at Cross Campus, with food and drinks provided by Graph Effect.
Hadoop Summit 2016 presentation.
As Yahoo continues to grow and diversify its mobile products, its platform team faces an ever-expanding, sophisticated group of analysts and product managers, who demand faster answers: to measure key engagement metrics like Daily Active Users, app installs and user retention; to run longitudinal analysis; and to re-calculate metrics over rolling time windows. All of this, quickly enough not to need a coffee break while waiting for results. The optimal solution for this use-case would have to take into account raw performance, cost, security implications and ease of data management. Could the benefits of Hive, ORC and Tez, coupled with a good data design provide the performance our customers crave? Or would it make sense to use more nascent, off-grid querying systems? This talk will examine the efficacy of using Hive for large-scale mobile analytics. We will quantify Hive performance on a traditional, shared, multi-tenant Hadoop cluster, and compare it with more specialized analytics tools on a single-tenant cluster. We will also highlight which tuning parameters yield maximum benefits, and analyze the surprisingly ineffectual ones. Finally, we will detail several enhancements made by Yahoo's Hive team (in split calculation, stripe elimination and the metadata system) to successfully boost performance.
A presentation at Twitter's official developer conference, Chirp, about why we use the Scala programming language and how we build services in it. Provides a tour of a number of libraries and tools, both developed at Twitter and otherwise.
FiloDB: Reactive, Real-Time, In-Memory Time Series at ScaleEvan Chan
My keynote presentation about how we developed FiloDB, a distributed, Prometheus-compatible time series database, productionized it at Apple and scaled it out to handle a huge amount of operational data, based on the stack of Kafka, Cassandra, Scala/Akka.
Cascading is a Data Processing API, Process Planner, and Process Scheduler used for defining and executing complex, scale-free, and fault tolerant data processing workflows on an Apache Hadoop cluster.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
11. Compressed Exchange
• Block exchanged between workers
are compressed in LZ4
• Enabled by
exchange.compression-enabled=true
12. Complex Grouping Operation
• UNION ALL + GROUP BY
SELECT host, path, code, AVG(size)
FROM www_access
GROUP BY GROUPING SETS (
(host),
(path),
(host,code)
);
13. Complex Grouping Operation
• UNION ALL + GROUP BY
SELECT host, NULL, NULL, AVG(size)
FROM www_access GROUP BY host
UNION ALL
SELECT NULL, path, NULL, AVG(size)
FROM www_access GROUP BY path
UNION ALL
SELECT host, NULL, code, AVG(size)
FROM www_access GROUP BY host, code
15. Misc
• INT as alias for INTEGER
• Deprecated sample column for
approximate query (experimental though)
• Allow specifying column comments
for CREATE TABLE
16. Future Works
• Presto Meetup - May 10th, 2017
@ Facebook HQ
• Members
• Facebook, Teradata, Netflix, Uber etc
17. Future Works
• Disk Spill (on-going)
https://github.com/prestodb/presto/issues/5144
• Warning Framework
Notify warning and have a grace period so that users can
migrate queries to a new style
• Cost based optimizer
18. CAUTION!
• deprecated.legacy-order-by
Due to incompatibility of ORDER BY column
resolution
• deprecated.legacy-map-subscript
Due to incompatibility of map subscript
operator behavior if the key is not present
19. CAUTION!!!
• In 0.179
• “Fix planning failure when GROUPING() is
used with the legacy_order_by session
property set to true”
• https://prestodb.io/docs/current/release/
release-0.179.html