Apache Spark™ Applications the Easy Way - Pierre Borckmanssparktc
At the sold-out Spark & Machine Learning Meetup in Brussels on October 27, 2016, Pierre Borckmans of Real Impact Analytics delivered a lightning talk called "Writing Spark applications, the easy way".
As Pierre explained, even though Apache Spark™ offers intuitive and high-level APIs, writing production-ready Spark data pipelines involves non-trivial challenges for data scientists without expert background in software development and devops matters. In this short talk, he showed how his team tackled these issues at Real Impact Analytics, by developing an intuitive framework for writing dataflows, offering convenient data exploration and testing facilities, while hiding devops-related complexity.
Part II: 2-Dimensional Array file name: lab1part2.cpp (10 points) Write a C++...hwbloom38
Part II: 2-Dimensional Array
file name: lab1part2.cpp
(10 points)
Write a C++ function, named DrawN(), that will receive a two-dimensional array of chars (size 10 x 10) as a parameter and assign the character
2-Dimensional Array file name: lab1part2.cpp Write a C++ function, named DrawN(), that will receive a two-dimensional array of chars (size 10 x
10) as a parameter and assign the character 'N' to each element in the first and last rows, and to each element in the diagonal from the upper right
to the lower left (as displayed below). Test your function in main().
Apache Spark™ Applications the Easy Way - Pierre Borckmanssparktc
At the sold-out Spark & Machine Learning Meetup in Brussels on October 27, 2016, Pierre Borckmans of Real Impact Analytics delivered a lightning talk called "Writing Spark applications, the easy way".
As Pierre explained, even though Apache Spark™ offers intuitive and high-level APIs, writing production-ready Spark data pipelines involves non-trivial challenges for data scientists without expert background in software development and devops matters. In this short talk, he showed how his team tackled these issues at Real Impact Analytics, by developing an intuitive framework for writing dataflows, offering convenient data exploration and testing facilities, while hiding devops-related complexity.
Part II: 2-Dimensional Array file name: lab1part2.cpp (10 points) Write a C++...hwbloom38
Part II: 2-Dimensional Array
file name: lab1part2.cpp
(10 points)
Write a C++ function, named DrawN(), that will receive a two-dimensional array of chars (size 10 x 10) as a parameter and assign the character
2-Dimensional Array file name: lab1part2.cpp Write a C++ function, named DrawN(), that will receive a two-dimensional array of chars (size 10 x
10) as a parameter and assign the character 'N' to each element in the first and last rows, and to each element in the diagonal from the upper right
to the lower left (as displayed below). Test your function in main().
FLATMAP ZAT SHIT : les monades expliquées aux geeks (Devoxx France 2013)François Sarradin
Vous commencez à peine dans la programmation fonctionnelle avec Scala, Java 8, CoffeeScript, etc. et on vous sort déjà des noms à dormir debout. Parmi ceux-ci, il en a un qui fait la joie des Scalaïstes les plus velus : je veux parler des monades.
Dans cette session, je vous propose de découvrir ce qu'est une monade, à quoi ça sert et est-ce qu'il y a un intérêt de les étudier... ou pas ! La présentation qui contient plus de code que de slides se fera autour de deux langages : Java 8 et Scala.
Massive open online course "Introduction to programming with dependent types in Scala (2018)"
https://stepik.org/course/49181
Video https://youtu.be/ARrbT3Oi-8Q
Stratosphere Intro (Java and Scala Interface)Robert Metzger
A quick walk overview of Stratosphere, including our Scala programming interface.
See also bigdataclass.org for two self-paced Stratosphere Big Data exercises.
More information about Stratosphere: stratosphere.eu
User Defined Aggregation in Apache Spark: A Love StoryDatabricks
Defining customized scalable aggregation logic is one of Apache Spark’s most powerful features. User Defined Aggregate Functions (UDAF) are a flexible mechanism for extending both Spark data frames and Structured Streaming with new functionality ranging from specialized summary techniques to building blocks for exploratory data analysis.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
3. Type of natural numbers
Haskell
data Nat = Zero | Suc Nat
Scala
sealed trait Nat
case object Zero extends Nat
case class Suc(n: Nat) extends Nat
Java
public interface Nat {}
public class Zero implements Nat {}
public class Suc implements Nat {
private final Nat n;
}
Dmytro Mitin Type of natural numbers
4. Type of natural numbers
1 Type Formation
Γ ctx
Γ Nat : ∗
2 Constructors
Γ ctx
Γ zero : Nat
Γ n : Nat
Γ suc n : Nat
3 Eliminator
Γ c1 : C Γ, n : Nat c2 : C
Γ, x : Nat caseNat(x)(c1, λn.c2) : C
x match { case Zero => c1; case Suc(n) => c2(n) }
Dmytro Mitin Type of natural numbers
5. Type of natural numbers
4 Computation rules (”β-reduction“)
Γ c1 : C Γ, n : Nat c2 : C
Γ caseNat(zero)(c1, λn.c2) ≡ c1 : C
Γ c1 : C Γ, n : Nat c2 : C Γ n : Nat
Γ caseNat(suc n )(c1, λn.c2) ≡ c2[n ← n ] : C
5 Uniqueness principle (”η-conversion“)
Dmytro Mitin Type of natural numbers
6. ProvingGround
git clone --recursive https://github.com/siddhartha-gadgil/ProvingGround.git
cd ProvingGround
mill -i mantle.repl
import provingground.HoTT.
import provingground.induction.TLImplicits.
import shapeless.
val Nat = "Nat" :: Type
val NatInd = ("0" ::: Nat) |: ("succ" ::: Nat -->>: Nat) =: Nat
val zero :: succ :: HNil = NatInd.intros
val n = "n" :: Nat
val m = "m" :: Nat
val one = succ(zero)
val two = succ(one)
val three = succ(two)
val four = succ(three)
val five = succ(four)
Dmytro Mitin Type of natural numbers
7. ProvingGround
val recNN = NatInd.rec(Nat)
val double = recNN(zero)(n :-> (m :-> succ(succ(m)) ))
double(two) == four
val recNNN = NatInd.rec(Nat ->: Nat)
val addn ="add(n)" :: Nat ->: Nat
val add = recNNN(m :-> m)(n :-> (addn :-> (m :->
succ(addn(m)) )))
add(two)(three) == five
Dmytro Mitin Type of natural numbers