We apply bitemporal analysis to more than 500 daily data files supplied by the Global Legal Entity Identifier Foundation to show that churn dominates the dynamics of growth, such that the number of paid up records in full standing has been flat over the last year. Our analysis reveals occasional daily glitches in the past that affected thousands of records. These appear to be in better control now, but a high lapse rate is the primary challenge to the Global LEI System right now
AWS re:Invent 2016: Case Study: Data-Heavy Healthcare: UPMCe’s Transformative...Amazon Web Services
Today's health care systems generate massive amounts of protected health information (PHI) — patient electronic health records, imaging, prescriptions, genomic profiles, insurance records, even data from wearable devices. In this session, UPMCe dives deep into two efforts: Their "Data Liberation Project"—a next-gen petabyte-scale software solution that provides responsible management of PHI within their own environments as well as externally, and “Neutrino” a real time medical document aggregator which utilizes natural language processing techniques to unlock hidden value from unstructured narratives. UPMC Enterprises (UPMCe), a division of University of Pittsburgh Medical Center, builds technology and invests in health care companies, from new startups to large established partners, with an eye toward revolutionizing healthcare. They embody the startup mentality with a focus on innovation and creating new data-heavy applications—all in support of new spin-off companies, furthering economic development, and disrupting healthcare. Join us to learn how they do security management and governance using Amazon S3, Amazon EC2, AWS Config, AWS CloudTrail, and other Amazon services help UPMCe think big about healthcare data in the public sector.
AWS re:Invent 2016: Amazon s2n: Cryptography and Open Source at AWS (NET405)Amazon Web Services
Launched in June of 2015, s2n is an AWS open-source implementation of the TLS and SSL network security protocols, which focus on security, simplicity, and performance. With development led by engineers from Amazon EC2, Amazon S3, Amazon CloudFront, and AWS security and cryptography services, s2n is a unique opportunity to observe how we develop and test security and availability for critical software at AWS. Learn how we iterate and code, how we automate software verification beyond the usual code reviews, and how open source works at Amazon.
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)Amazon Web Services
You have billions of events in your fact table, all of it waiting to be visualized. Enter Tableau… but wait: how can you ensure scalability and speed with your data in Amazon S3, Spark, Amazon Redshift, or Presto? In this talk, you’ll hear how Albert Wong and Srikanth Devidi at Netflix use Tableau on top of their big data stack. Albert and Srikanth also show how you can get the most out of a massive dataset using Tableau, and help guide you through the problems you may encounter along the way. Session sponsored by Tableau.
AWS Competency Partner
Big Data Processing Beyond MapReduce by Dr. Flavio VillanustreHPCC Systems
Data Centric Approach: Our platform is built on the premise of absorbing data from multiple data sources and transforming them to a highly intelligent social network graphs that can be processed to non-obvious relationships.
Oracle OpenWorld London - session for Stream Analysis, time series analytics, streaming ETL, streaming pipelines, big data, kafka, apache spark, complex event processing
Data Lake-based Approaches to Regulatory-Driven Technology ChallengesBooz Allen Hamilton
Booz Allen Hamilton has found that a data lake-based approach to CA3 requirements is scalable, extensible, and improves the range and sophistication of analyses that can be supported while providing higher levels of data control and security.
Growth of relational model: Interdependence and complementary to big data IJECEIAES
A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data. The area has witnessed a series of developments and technological advancements from its conventional structured database to the recent buzzword, bigdata. This paper aims to provide a complete model of a relational database that is still being widely used because of its well known ACID properties namely, atomicity, consistency, integrity and durability. Specifically, the objective of this paper is to highlight the adoption of relational model approaches by bigdata techniques. Towards addressing the reason for this in corporation, this paper qualitatively studied the advancements done over a while on the relational data model. First, the variations in the data storage layout are illustrated based on the needs of the application. Second, quick data retrieval techniques like indexing, query processing and concurrency control methods are revealed. The paper provides vital insights to appraise the efficiency of the structured database in the unstructured environment, particularly when both consistency and scalability become an issue in the working of the hybrid transactional and analytical database management system.
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
Data integration is paramount, in this presentation you will find three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/1q94Ka.
Webinar future dataintegration-datamesh-and-goldengatekafkaJeffrey T. Pollock
The Future of Data Integration: Data Mesh, and a Special Deep Dive into Stream Processing with GoldenGate, Apache Kafka and Apache Spark. This video is a replay of a Live Webinar hosted on 03/19/2020.
Join us for a timely 45min webinar to see our take on the future of Data Integration. As the global industry shift towards the “Fourth Industrial Revolution” continues, outmoded styles of centralized batch processing and ETL tooling continue to be replaced by realtime, streaming, microservices and distributed data architecture patterns.
This webinar will start with a brief look at the macro-trends happening around distributed data management and how that affects Data Integration. Next, we’ll discuss the event-driven integrations provided by GoldenGate Big Data, and continue with a deep-dive into some essential patterns we see when replicating Database change events into Apache Kafka. In this deep-dive we will explain how to effectively deal with issues like Transaction Consistency, Table/Topic Mappings, managing the DB Change Stream, and various Deployment Topologies to consider. Finally, we’ll wrap up with a brief look into how Stream Processing will help to empower modern Data Integration by supplying realtime data transformations, time-series analytics, and embedded Machine Learning from within data pipelines.
GoldenGate: https://www.oracle.com/middleware/tec...
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
AWS re:Invent 2016: Case Study: Data-Heavy Healthcare: UPMCe’s Transformative...Amazon Web Services
Today's health care systems generate massive amounts of protected health information (PHI) — patient electronic health records, imaging, prescriptions, genomic profiles, insurance records, even data from wearable devices. In this session, UPMCe dives deep into two efforts: Their "Data Liberation Project"—a next-gen petabyte-scale software solution that provides responsible management of PHI within their own environments as well as externally, and “Neutrino” a real time medical document aggregator which utilizes natural language processing techniques to unlock hidden value from unstructured narratives. UPMC Enterprises (UPMCe), a division of University of Pittsburgh Medical Center, builds technology and invests in health care companies, from new startups to large established partners, with an eye toward revolutionizing healthcare. They embody the startup mentality with a focus on innovation and creating new data-heavy applications—all in support of new spin-off companies, furthering economic development, and disrupting healthcare. Join us to learn how they do security management and governance using Amazon S3, Amazon EC2, AWS Config, AWS CloudTrail, and other Amazon services help UPMCe think big about healthcare data in the public sector.
AWS re:Invent 2016: Amazon s2n: Cryptography and Open Source at AWS (NET405)Amazon Web Services
Launched in June of 2015, s2n is an AWS open-source implementation of the TLS and SSL network security protocols, which focus on security, simplicity, and performance. With development led by engineers from Amazon EC2, Amazon S3, Amazon CloudFront, and AWS security and cryptography services, s2n is a unique opportunity to observe how we develop and test security and availability for critical software at AWS. Learn how we iterate and code, how we automate software verification beyond the usual code reviews, and how open source works at Amazon.
AWS re:Invent 2016: Tableau Rules of Engagement in the Cloud (STG306)Amazon Web Services
You have billions of events in your fact table, all of it waiting to be visualized. Enter Tableau… but wait: how can you ensure scalability and speed with your data in Amazon S3, Spark, Amazon Redshift, or Presto? In this talk, you’ll hear how Albert Wong and Srikanth Devidi at Netflix use Tableau on top of their big data stack. Albert and Srikanth also show how you can get the most out of a massive dataset using Tableau, and help guide you through the problems you may encounter along the way. Session sponsored by Tableau.
AWS Competency Partner
Big Data Processing Beyond MapReduce by Dr. Flavio VillanustreHPCC Systems
Data Centric Approach: Our platform is built on the premise of absorbing data from multiple data sources and transforming them to a highly intelligent social network graphs that can be processed to non-obvious relationships.
Oracle OpenWorld London - session for Stream Analysis, time series analytics, streaming ETL, streaming pipelines, big data, kafka, apache spark, complex event processing
Data Lake-based Approaches to Regulatory-Driven Technology ChallengesBooz Allen Hamilton
Booz Allen Hamilton has found that a data lake-based approach to CA3 requirements is scalable, extensible, and improves the range and sophistication of analyses that can be supported while providing higher levels of data control and security.
Growth of relational model: Interdependence and complementary to big data IJECEIAES
A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data. The area has witnessed a series of developments and technological advancements from its conventional structured database to the recent buzzword, bigdata. This paper aims to provide a complete model of a relational database that is still being widely used because of its well known ACID properties namely, atomicity, consistency, integrity and durability. Specifically, the objective of this paper is to highlight the adoption of relational model approaches by bigdata techniques. Towards addressing the reason for this in corporation, this paper qualitatively studied the advancements done over a while on the relational data model. First, the variations in the data storage layout are illustrated based on the needs of the application. Second, quick data retrieval techniques like indexing, query processing and concurrency control methods are revealed. The paper provides vital insights to appraise the efficiency of the structured database in the unstructured environment, particularly when both consistency and scalability become an issue in the working of the hybrid transactional and analytical database management system.
Data Integration Alternatives: When to use Data Virtualization, ETL, and ESBDenodo
Data integration is paramount, in this presentation you will find three different paradigms: using client-side tools, creating traditional data warehouses and the data virtualization solution - the logical data warehouse, comparing each other and positioning data virtualization as an integral part of any future-proof IT infrastructure.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/1q94Ka.
Webinar future dataintegration-datamesh-and-goldengatekafkaJeffrey T. Pollock
The Future of Data Integration: Data Mesh, and a Special Deep Dive into Stream Processing with GoldenGate, Apache Kafka and Apache Spark. This video is a replay of a Live Webinar hosted on 03/19/2020.
Join us for a timely 45min webinar to see our take on the future of Data Integration. As the global industry shift towards the “Fourth Industrial Revolution” continues, outmoded styles of centralized batch processing and ETL tooling continue to be replaced by realtime, streaming, microservices and distributed data architecture patterns.
This webinar will start with a brief look at the macro-trends happening around distributed data management and how that affects Data Integration. Next, we’ll discuss the event-driven integrations provided by GoldenGate Big Data, and continue with a deep-dive into some essential patterns we see when replicating Database change events into Apache Kafka. In this deep-dive we will explain how to effectively deal with issues like Transaction Consistency, Table/Topic Mappings, managing the DB Change Stream, and various Deployment Topologies to consider. Finally, we’ll wrap up with a brief look into how Stream Processing will help to empower modern Data Integration by supplying realtime data transformations, time-series analytics, and embedded Machine Learning from within data pipelines.
GoldenGate: https://www.oracle.com/middleware/tec...
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Data Services and the Modern Data Ecosystem (Middle East)Denodo
Watch full webinar here: https://bit.ly/3xdSTIU
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management. Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo.
Join us for our upcoming Middle East Webinar series episode, “Data Services and the Modern Data Ecosystem,” presented by Chief Evangelist MEA, Alexey Sidorov. Tune-in as we explore how a business can easily support and manage a Data Service ecosystem, providing a more flexible approach for information sharing supporting an ever diverse community of consumers.
Watch on-demand this webinar to learn:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary.
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
In the past few years, the term "data lake" has leaked into our lexicon. But what exactly IS a data lake? Some IT managers confuse data lakes with data warehouses. Some people think data lakes replace data warehouses. Both of these conclusions are false. Their is room in your data architecture for both data lakes and data warehouses. They both have different use cases and those use cases can be complementary.
Todd Reichmuth, Solutions Engineer with Snowflake Computing, has spent the past 18 years in the world of Data Warehousing and Big Data. He spent that time at Netezza and then later at IBM Data. Earlier in 2018 making the jump to the cloud at Snowflake Computing.
Mike Myer, Sales Director with Snowflake Computing, has spent the past 6 years in the world of Security and looking to drive awareness to better Data Warehousing and Big Data solutions available! Was previously at local tech companies FireMon and Lockpath and decided to join Snowflake due to the disruptive technology that's truly helping folks in the Big Data world on a day to day basis.
A modern approach to streaming data integration, event processing with a big data (kappa style) data architecture. Key patterns are discussed with pros/cons of newer approaches and open source technologies. Focus on Oracle and GoldenGate technology. OpenWorld 2018 presentation.
Chatbots are growing in popularity as developers face the
limitations of the mobile app. User interfaces that simulate a human
conversation, the history of chatbots goes back to the late 18th
century. I'll take you on a tour of that history with an eye on finding
insights on what is possible today and in the near future with chatbots.
Issues Covered: Amazon Alexa, Facebook Messenger Chatbots, Alan
Turing, and much more.
Estimating the Software Product Value during the Development ProcessPaul Houle
Nowadays software companies are facing a fierce competition
to deliver better products but offering a higher value to the customer.
In this context, software product value has becoming a major concern
in software industry, leading for improving the knowledge and better
understanding about how to estimate the software value in early development
phases. Other way, software companies encounter problems such
as releasing products that were developed with high expectations, but
they gradually fall into the category of a mediocre product when they
are released to the market. These high expectations are tightly related
to the expected and offered software value to the customer. This paper
presents an approach for estimating the software product value, focusing
on the development phases. We propose a value indicators approach to
quantify the real value of the development products. The aim is early
identifying potential deviations in the real software value, by comparing
the estimated versus the expected. We present an internal validation
to show the feasibility of this approach to produce benefits in industry
projects.
Universal Standards for LEI and other Corporate Reference Data: Enabling risk...Paul Houle
Individual Records are supposed be updated yearly, but more than 25% of records have lapsed
LEI records must be updated sooner in response to corporate actions if the GLEIS is to be useful as golden copy reference data inside financial institutions
Needed: real-time, streaming analytics to monitor SIFI, trading and the buildup of systemic risk
LOUs publish records daily, which are concatenated by the LOUS: however, the data on organization types (Corporation, Fund, Trust, etc.), Geographic Regions, Business Registry Numbers, Hierarchy and other fields are often missing or inconsistently represented
Implementing Reference Dataand Corporate Actions in a Blockchain
Although animals do not use language, they are capable of many of the same kinds of cognition as us; much of our experience is at a non-verbal level.
Semantics is the bridge between surface forms used in language and what we do and experience.
Language understanding depends on world knowledge (i.e. “the pig is in the pen” vs. “the ink is in the pen”)
We might not be ready for executives to specify policies themselves, but we can make the process from specification to behavior more automated, linked to precise vocabulary, and more traceable.
Advances such as SVBR and an English serialization for ISO Common Logic means that executives and line workers can understand why the system does certain things, or verify that policies and regulations are implemented
The Ontology2 platform squares the circle between big data, low latency, and semantics by combining expressive reasoning, information retrieval and machine learning with Hadoop, Apache Spark and Solid State Drive backed cloud .
Types in Freebase typically mean that something plays a role. For instance, superman is a :film.film_subject because he the subject of a film. He is an :amusement_parks.ride_theme because amusement parks have been made about him. There's nothing contradictory about this, at least to first order, because these types don't fit into a hierarchy.
Today's Enterprise Search products have effective answers for content ingestion and and query performance.
Any product that is successful at all has an answer for content ingestion. It's a complex problem because you need to interact with many kinds of system, but it's a solved problem: a vendor who hasn't solved this problem would not be successful at all.
This graph compares two importance scores for DBpedia concepts.
x-axis (left) is a usage-based importance score (based on which pages people view) and y-axis (up) is the PageRank score published by ath representing the strength of links to a concept. Correlation coefficients via kendal, spearman and pearson are in the 0.35-0.5 range.
Be warned that this system does not have a sense of "respectability" so you be offended by many of its opinions and we apologize for it.
Extension methods, nulls, namespaces and precedence in c#Paul Houle
Extension methods are the most controversial feature that Microsoft has introduced in
C# 3.0. Introduced to support the LINQ query framework, extension methods make
it possible to define new methods for existing classes.
Although extension methods can greatly simplify code that uses them, many are
concerned that they could transform C# into something that programmers find
unrecognizable, or that C#’s namespace mechanisms are inadequate for managing
large systems that use extension methods. Adoption of the LINQ framework,
however, means that extension methods are here to stay, and that .net
programmers need to understand how to use them effectively, and, in particular,
how extension methods are different from regular methods.
This article discusses three ways in which extension methods differ from regular
methods:
1. Extension methods can be called on null objects without throwing an exception
2. Extension methods cannot be called inside of a subclass
Dropping unique constraints in sql serverPaul Houle
I got started with relational databases with mysql, so I’m in the habit of making
database changes with SQL scripts, rather than using a GUI. Microsoft SQL Server
requires that we specify the name of a unique constraint when we want to drop it. If
you’re thinking ahead, you can specify a name when you create the constraint; if
you don’t, SQL Server will make up an unpredictable name, so you can’t write a
simple script to drop the constraint.
This is a story of two types: GenericType and SpecificType, where GenericType is a
superclass of SpecificType. There are two types of explicit cast in C#:
The Prefix cast:
[01] GenericType g=...;
[02] SpecificType t=(SpecificType) g;
The as cast:
[03] GenericType g=...;
[04] SpecificType t=g as SpecificType;
Most programmers have a habit of using one or the other — this isn’t usually a
conscious decision, but more of a function of which form a programmer saw first. I,
for instance, programmed in Java before I learned C#, so I was already in the prefix
cast habit. People with a Visual Basic background often do the opposite. There are
real differences between the two casting operators
I'm an expert on building commerical large scale systems based on Linked Data sources such as Freebase and DBpedia. I'm the creator of :BaseKB, which was the first correct conversion of Freebase to RDF and of Infovore, the open source
I do consulting on the following areas:
* Data processing with Hadoop and the design and construction of systems using Amazon Web Services
* Architecture and construction of systems that consume and produce Linked Data
* Construction and evaluation of intelligent systems that make subjective decisions (text search, text classification, machine learning, etc.)
I'm not at all interested in doing maintenance work on other people's code, but I am interested in helping you align your process, structure, and tools to speed up your development cycle, improve your products, and prevent developer burnout. I am not free to relocate at this time, but I collaborate all of the time with workers around the world and I can travel to your location, understand your needs and transfer skills to your workforce.
Keeping track of state in asynchronous callbacksPaul Houle
There’s a lot of confusion about how asynchronous communication works in RIA’s
such as Silverlight, GWT and Javascript. When I start talking about the problems of
concurrency control, many people tell me that there aren’t any concurrency problems
since everything runs in a single thread. [1]
It’s important to understand the basics of what is going on when you’re writing
asynchronous code, so I’ve put together a simple example to show how execution
works in RIA’s and how race conditions are possible. This example applies to
Javascript, Silverlight, GWT and Flex, as well as a number of other environments
based on Javascript. This example doesn’t represent best practices, but rather what
can happen when you’re not using a proactive strategy that eliminates concurrency problems
Mat Byrne recently posted source code for a dynamic domain object in PHP which
takes advantage of the dynamic nature of PHP. It’s a good example of how
programmers can take advantage of the unique characteristics of a programming
language.
Statically typed languages such as C# and Java have some advantages: they run
faster and IDE’s can understand the code enough to save typing (with your fingers),
help you refactor your code, and help you fix errors. Although there’s a lot of things I
like symfony, it feels like a Java framework that’s invaded the PHP world. Eclipse
would help you deal with the endless getters and setters and domain object methods
with 40-character names in Java, Eclipse.
The limits of polymorphism are a serious weakness of today’s statically typed
languages. C# and Java apps that I work with are filled with if-then-else or case
ladders when they need to initialize a dynamically chosen instance of one of a set of
classes that subclass a particular base class or that implement a particular interface.
Sure, you can make a HashMap or Dictionary that’s filled with Factory objects, but
any answer for that is cumbersome. I
articles on asynchronous communications with a focus on Javascript.
Minimizing Code Paths In Asynchronous Code, a recent post of his, is about a lesson
that I learned the hard way with GWT that applies to all RIA systems that use
asynchronous calls. His example is the same case I encountered, where a function
might return a value from a cache or might query the server to get the value: an
obvious way to do this in psuedocode is:
function getData(...arguments...,callback) {
if (... data in cache...) {
callback(...cached data...);
}
cacheCallback=anonymousFunction(...return value...) {
... store value in cache...
callback(...cached data...);
}
getDataFromServer(...arguments...,cacheCallback)
}
At first glance this code looks innocuous, but there’s a major difference between
what happens in the cached and uncached case. In the cached case, the callback()
function gets called before getData() returns — in the uncached case, the opposite
happens. What happens in this function has a global impact on the execution of the
program, opening up two code paths that complicate concurrency control and
introduce bugs that can be frustrating to debug.
This function can be made more reliable if it schedules callback() to run after the
thread it is running in completes. In Javascript, this can be done with setTimeout().
In Silverlight use System.Windows.Threading.Dispatcher. to schedule the callback
What do you do when you’ve caught an exception?Paul Houle
This article is a follow up to “Don’t Catch Exceptions“, which advocates that
exceptions should (in general) be passed up to a “unit of work”, that is, a fairly
coarse-grained activity which can reasonably be failed, retried or ignored. A unit of
work could be:
an entire program, for a command-line script,
a single web request in a web application,
the delivery of an e-mail message
the handling of a single input record in a batch loading application,
rendering a single frame in a media player or a video game, or
an event handler in a GUI program
The code around the unit of work may look something like
[01] try {
[02] DoUnitOfWork()
[03] } catch(Exception e) {
[04] ... examine exception and decide what to do ...
[05] }
For the most part, the code inside DoUnitOfWork() and the functions it calls tries to
throw exceptions upward rather than catch them.
To handle errors correctly, you need to answer a few questions, such as
Was this error caused by a corrupted application state?
Did this error cause the application state to be corrupted?
Was this error caused by invalid input?
What do we tell the user, the developers and the system administrator?
Could this operation succeed if it was retried?
Is there something else we could do?
Although it’s good to depend on existing exception
Extension methods, nulls, namespaces and precedence in c#Paul Houle
Extension methods are the most controversial feature that Microsoft has introduced in C# 3.0. Introduced to support the LINQ query framework, extension methods make it possible to define new methods for existing classes.
Although extension methods can greatly simplify code that uses them, many are concerned that they could transform C# into something that programmers find unrecognizable, or that C#’s namespace mechanisms are inadequate for managing large systems that use extension methods. Adoption of the LINQ framework, however, means that extension methods are here to stay, and that .net programmers need to understand how to use them effectively, and, in particular, how extension methods are different from regular methods.
ProAlign Web is sold on a “Software as a Service” basis, which eliminates the burden and costs of software installation, maintenance, and any server requirements. Upgrades happen seamlessly without your involvement.
Users have permission levels for manipulating and viewing data — the system will show only those geographic areas authorized for each user.
It's easy to create, share, modify and approve alignments online — visualization tools allow immediate understanding of key account metrics by territory
Built in communication — allows integrated notes, requests and approval processes.
Every installation of ProAlign Web is fully integrated with and includes ProAlign Desktop. Built on ESRI ArcGIS ® mapping technology, the world’s number one mapping software. ProAlign Desktop offers an additional robust portfolio of analytical, database and mapping features for the sales manager or sales operations analyst.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
What are the main advantages of using HR recruiter services.pdfHumanResourceDimensi1
HR recruiter services offer top talents to companies according to their specific needs. They handle all recruitment tasks from job posting to onboarding and help companies concentrate on their business growth. With their expertise and years of experience, they streamline the hiring process and save time and resources for the company.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
India Orthopedic Devices Market: Unlocking Growth Secrets, Trends and Develop...Kumar Satyam
According to TechSci Research report, “India Orthopedic Devices Market -Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030”, the India Orthopedic Devices Market stood at USD 1,280.54 Million in 2024 and is anticipated to grow with a CAGR of 7.84% in the forecast period, 2026-2030F. The India Orthopedic Devices Market is being driven by several factors. The most prominent ones include an increase in the elderly population, who are more prone to orthopedic conditions such as osteoporosis and arthritis. Moreover, the rise in sports injuries and road accidents are also contributing to the demand for orthopedic devices. Advances in technology and the introduction of innovative implants and prosthetics have further propelled the market growth. Additionally, government initiatives aimed at improving healthcare infrastructure and the increasing prevalence of lifestyle diseases have led to an upward trend in orthopedic surgeries, thereby fueling the market demand for these devices.
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Fixing a leaky bucket; Observations on the Global LEI System
1. Fixing a Leaky Bucket
Observations on the Global LEI System
http://ontology2.com/
May 10, 2016
2. Major points
• The number of paid up LEI registrations has been flat over the last
year
• LEIs attrition is overwhelmingly due to a failure to re-register as
compared to mergers and dissolutions
• Occasional glitches are observed in data supplied by LOUs, such as
disappearing records and invalid status codes, but things are getting
better
3. Methodology
• Ontology2 technology
• Break down conventional data (XML in this case) into facts
• PLUS: Apply a “theory of time and change” to facts
• EQUALS: Bitemporal capability (what did he know and when did he know it?)
• Covers all data from the C-LEI era
• 350x the data volume of other LEI analysis to date!
LMAX Disruptor
Inside
High-speed, High-throughput execution fabric
10 million messages per second+
Batch or interactive execution – keeps several steps ahead of competition
Commonsense knowledge base and rules bend instead of break in face of dirty data
Based on map of problem, automatically constructs and tears down resources in cloud;
multiscale architecture applies common strategies to large and small problems
Exception Handling and Case Management for continuous improvement
4. Issued LEI
records in
good standing
Lapsed LEI
Records
(not renewed)
30,000 records dropped
in one-day glitch
(see next page!)
recordcount
6. RETIRED (out of business)
DUPLICATE (of another record)
MERGED (with another
record)
7. This is a count of invalid LEI record
statusess: these are sometimes
misspelled, such as “ANULLED”
There was a burst of these early on,
but the problem is largely controlled
today.