Big Data in Malaysia: Emerging Sector Profile 2014Tirath Ramdas
Big Data has become part of everyday organisational parlance. Increasingly, this awareness is being transformed into practice. Support for harnessing data to amplify capabilities and achieve organisational objectives at practitioner and senior management levels is becoming aligned. A report by Forrester on Big Data adoption in Asia Pacific in 2013-2014 observed a trend across all industries of ‘using more types of data, from more sources, to enable timelier better-informed insights’. Similarly in Malaysia, there is growing cultural acceptance that Big Data can and should enhance decision-making processes, although pathways for adoption are not uniformly understood. Nevertheless, we are now observing a transition phase from curiosity and enthusiasm to buy-in and action across startup, corporate, and government organisations. This groundswell of interest fuels the basis of Big Data Malaysia, a networking group for professionals with interest in all things Big Data, including NoSQL, Hadoop, data science, visualisation, business use cases, data governance, open data, and more. Our community has welcomed participation from stakeholders ranging from computer scientists to data journalists, reflecting a broad societal interest in Big Data. Our mission is to encourage high caliber knowledge sharing and to provide a space for professionals with different interests to collaborate. This report grew out of a need to understand in more detail the various networks that Big Data Malaysia helps to connect. In order to support the Big Data ecosystem that we see emerging, we identified critical questions that required further investigation, in particular:
• What are the opportunities and barriers to Big Data activity in Malaysia?
• Who is merely ‘interested’, versus who is actually committed?
• What is the current and future capacity for Big Data talent?
• Where are the critical gaps in training and skills?
• What are the soft inhibitors, including data access, regulation and perception?
There are two parts to this report. The first includes results from a questionnaire, while the latter features interviews conducted in-person or via email. In collaboration with various partners, we devised and distributed a questionnaire online across our networks and collected responses during October 2013. In our final sample, we collected responses from 108 individuals over 90 organisations. As our report will show, these viewpoints represent a diversity of organisational stakeholders and industries in the Big Data space. We followed up with interviews of high-profile respondents for richer insight.
Government of Japan launched Data strategy on Dec 21, 2020.
This slide is a summary of the strategy.
The full paper is following link.
https://www.kantei.go.jp/jp/singi/it2/dgov/dai10/siryou_a.pdf
Europe needs a clear strategy for leveraging Big Data
Economy in Europe. Our objectives are work at technical, business and policy levels, shaping the future through the positioning of Big Data in Horizon 2020. Bringing the necessary stakeholders into a sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
Open and Proprietary Data Economies in Malaysia: The Consumption PerspectiveSandra Hanchard
BIG DATA MALAYSIA @ Open Government Partnership Seminar and Exhibition
Sandra Hanchard
Kuala Lumpur, 18 August 2015
http://ideas.org.my/events/18-august-2015-open-government-partnership-seminar-and-exhibition/
Big Data in Malaysia: Emerging Sector Profile 2014Tirath Ramdas
Big Data has become part of everyday organisational parlance. Increasingly, this awareness is being transformed into practice. Support for harnessing data to amplify capabilities and achieve organisational objectives at practitioner and senior management levels is becoming aligned. A report by Forrester on Big Data adoption in Asia Pacific in 2013-2014 observed a trend across all industries of ‘using more types of data, from more sources, to enable timelier better-informed insights’. Similarly in Malaysia, there is growing cultural acceptance that Big Data can and should enhance decision-making processes, although pathways for adoption are not uniformly understood. Nevertheless, we are now observing a transition phase from curiosity and enthusiasm to buy-in and action across startup, corporate, and government organisations. This groundswell of interest fuels the basis of Big Data Malaysia, a networking group for professionals with interest in all things Big Data, including NoSQL, Hadoop, data science, visualisation, business use cases, data governance, open data, and more. Our community has welcomed participation from stakeholders ranging from computer scientists to data journalists, reflecting a broad societal interest in Big Data. Our mission is to encourage high caliber knowledge sharing and to provide a space for professionals with different interests to collaborate. This report grew out of a need to understand in more detail the various networks that Big Data Malaysia helps to connect. In order to support the Big Data ecosystem that we see emerging, we identified critical questions that required further investigation, in particular:
• What are the opportunities and barriers to Big Data activity in Malaysia?
• Who is merely ‘interested’, versus who is actually committed?
• What is the current and future capacity for Big Data talent?
• Where are the critical gaps in training and skills?
• What are the soft inhibitors, including data access, regulation and perception?
There are two parts to this report. The first includes results from a questionnaire, while the latter features interviews conducted in-person or via email. In collaboration with various partners, we devised and distributed a questionnaire online across our networks and collected responses during October 2013. In our final sample, we collected responses from 108 individuals over 90 organisations. As our report will show, these viewpoints represent a diversity of organisational stakeholders and industries in the Big Data space. We followed up with interviews of high-profile respondents for richer insight.
Government of Japan launched Data strategy on Dec 21, 2020.
This slide is a summary of the strategy.
The full paper is following link.
https://www.kantei.go.jp/jp/singi/it2/dgov/dai10/siryou_a.pdf
Europe needs a clear strategy for leveraging Big Data
Economy in Europe. Our objectives are work at technical, business and policy levels, shaping the future through the positioning of Big Data in Horizon 2020. Bringing the necessary stakeholders into a sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
Open and Proprietary Data Economies in Malaysia: The Consumption PerspectiveSandra Hanchard
BIG DATA MALAYSIA @ Open Government Partnership Seminar and Exhibition
Sandra Hanchard
Kuala Lumpur, 18 August 2015
http://ideas.org.my/events/18-august-2015-open-government-partnership-seminar-and-exhibition/
Open Data e Smart Government: tecnologie e trend di mercato Alessio MeloniApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
Partners in Technology (PiT) - Be a Responsive GovernmentDigital Queensland
Irene Violet
Assistant Director-General
Responsive Government
Department of Housing and Public Works
Presentation on Responsive government for Partners in Technology 2 November 2018
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
The Real-time Linked Dataspace (RLD) is an enabling platform for data management for intelligent systems within smart environments that combines the pay-as-you-go paradigm of dataspaces, linked data, and knowledge graphs with entity-centric real-time query capabilities.
The RLD contains all the relevant information within a data ecosystem including things, sensors, and data sources and has the responsibility for managing the relationships among these participants.
It manages sources without presuming a pre-existing semantic integration among them using specialised dataspace support services for loose administrative proximity and semantic integration for event and stream systems. Support services leverage approximate and best-effort techniques and operate under a 5 star model for “pay-as-you-go” incremental data management.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Lisa Davis, VP & GM, Digital Transformation & Scale Solutions, Enterprise & Government, Data Center Group, Intel Corp.
Red Hat Government Symposium 2019
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...Agile Lietuva
UK patirtis: Kodėl visos viešosios skaitmeninės paslaugos/tarnybos yra kuriamos naudojant Agile metodus?
Kviečiame į unikalią galimybę susitikti su Tom Loosemore (https://www.linkedin.com/in/tomloosemore/), kuris 2010 metais kūrė UK's Governments Digital Service (GDS) ir jam vadovavo (https://gds.blog.gov.uk/story/). GDS standartas reikalauja, kad visos paslaugos būtų kuriamos naudojant Agile metodikas (https://www.gov.uk/service-manual/service-standard/use-agile-methods). Tom dalinsis patirtimi, kaip UK priėmė šį sprendimą, kaip jį įgyvendino, kokią naudą iš to gavo ir ko mes Lietuvoje galėtume pasimokyti.
Vizito Lietuvoje metu Tom dalyvaus asociacijos "Agile Lietuva" organizuojamame kasmetiniame renginyje valstybinio sektoriaus darbuotojams "Agile pusryčiai 2017" (http://valstybe.agile.lt/agile-pusryciai-2017/), susitiks su viceministrais, su vyriausybės kanceliarijoje dirbančia IT vystymo strategijos planavimo grupe bei INFOBALT nariais.
Summary of a talk I did at Beyond The Smart City June 25th 2015 in Devon for the Devon Node of the ODI. It includes examples of some of the work we do at Visceral Business.
An oft heard conversation around coffee tables -
How can activity metrics in a web execution go down while those on mobile go up for the same experiment? There is something wrong with the data, lets go to the Analytics team and check up!
And thus begins the march to the analytics teams of many professionals. Why that team? Because they are the custodians of something valuable and something that has changed the way companies work in the past 24 months. That something is ‘Big Data’!
Why is Big Data getting “Bigger”
Big data was something that companies started getting comfortable with in 2013. Last year was where Big Data truly started going mainstream with a lot of experiments getting done both on Web and Mobile on the back of Big Data. I have captured all of that and more in the Infographic below. Do check the same and express your views
Originally posted on http://strat.in/2015/01/big-data-analytics-trends-2015/
Open Data e Smart Government: tecnologie e trend di mercato Alessio MeloniApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
Partners in Technology (PiT) - Be a Responsive GovernmentDigital Queensland
Irene Violet
Assistant Director-General
Responsive Government
Department of Housing and Public Works
Presentation on Responsive government for Partners in Technology 2 November 2018
From Data Platforms to Dataspaces: Enabling Data Ecosystems for Intelligent S...Edward Curry
The Real-time Linked Dataspace (RLD) is an enabling platform for data management for intelligent systems within smart environments that combines the pay-as-you-go paradigm of dataspaces, linked data, and knowledge graphs with entity-centric real-time query capabilities.
The RLD contains all the relevant information within a data ecosystem including things, sensors, and data sources and has the responsibility for managing the relationships among these participants.
It manages sources without presuming a pre-existing semantic integration among them using specialised dataspace support services for loose administrative proximity and semantic integration for event and stream systems. Support services leverage approximate and best-effort techniques and operate under a 5 star model for “pay-as-you-go” incremental data management.
EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open EvidenceKasia Szkuta
The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape
Lisa Davis, VP & GM, Digital Transformation & Scale Solutions, Enterprise & Government, Data Center Group, Intel Corp.
Red Hat Government Symposium 2019
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...Agile Lietuva
UK patirtis: Kodėl visos viešosios skaitmeninės paslaugos/tarnybos yra kuriamos naudojant Agile metodus?
Kviečiame į unikalią galimybę susitikti su Tom Loosemore (https://www.linkedin.com/in/tomloosemore/), kuris 2010 metais kūrė UK's Governments Digital Service (GDS) ir jam vadovavo (https://gds.blog.gov.uk/story/). GDS standartas reikalauja, kad visos paslaugos būtų kuriamos naudojant Agile metodikas (https://www.gov.uk/service-manual/service-standard/use-agile-methods). Tom dalinsis patirtimi, kaip UK priėmė šį sprendimą, kaip jį įgyvendino, kokią naudą iš to gavo ir ko mes Lietuvoje galėtume pasimokyti.
Vizito Lietuvoje metu Tom dalyvaus asociacijos "Agile Lietuva" organizuojamame kasmetiniame renginyje valstybinio sektoriaus darbuotojams "Agile pusryčiai 2017" (http://valstybe.agile.lt/agile-pusryciai-2017/), susitiks su viceministrais, su vyriausybės kanceliarijoje dirbančia IT vystymo strategijos planavimo grupe bei INFOBALT nariais.
Summary of a talk I did at Beyond The Smart City June 25th 2015 in Devon for the Devon Node of the ODI. It includes examples of some of the work we do at Visceral Business.
An oft heard conversation around coffee tables -
How can activity metrics in a web execution go down while those on mobile go up for the same experiment? There is something wrong with the data, lets go to the Analytics team and check up!
And thus begins the march to the analytics teams of many professionals. Why that team? Because they are the custodians of something valuable and something that has changed the way companies work in the past 24 months. That something is ‘Big Data’!
Why is Big Data getting “Bigger”
Big data was something that companies started getting comfortable with in 2013. Last year was where Big Data truly started going mainstream with a lot of experiments getting done both on Web and Mobile on the back of Big Data. I have captured all of that and more in the Infographic below. Do check the same and express your views
Originally posted on http://strat.in/2015/01/big-data-analytics-trends-2015/
The 101 Of Web 2.0 by Roslan Bakri ZakariahIdeashare
Explore the basics of web 2.0, if you still think a social network is what you get when you’ve been parting all night long, you should take some time to sit in this talk. find out a little about what is freemium and where do internet meems come from.
Expand your horizon and prepare to explore your imagination with Roslan. Dont be late, the class is in.
DataGraft: Data-as-a-Service for Open Datadapaasproject
Tutorial at "The Data Matters Series – Transforming Service Industry via Big Data Analytics", May 4, 2016, Cyberjaya, Malaysia
http://www.eventbrite.com/e/the-data-matters-series-transforming-service-industry-via-big-data-analytics-tickets-24617911837
This talk was on deep learning use cases outside of computer vision. It also covered larger scale patterns of what good deep learning use cases typically look like. We end up on an explanation of anomaly detection and various kinds of anomaly use cases.
Bi isn't big data and big data isn't BI (updated)mark madsen
Big data is hyped, but isn't hype. There are definite technical, process and business differences in the big data market when compared to BI and data warehousing, but they are often poorly understood or explained. BI isn't big data, and big data isn't BI. By distilling the technical and process realities of big data systems and projects we can separate fact from fiction. This session examines the underlying assumptions and abstractions we use in the BI and DW world, the abstractions that evolved in the big data world, and how they are different. Armed with this knowledge, you will be better able to make design and architecture decisions. The session is sometimes conceptual, sometimes detailed technical explorations of data, processing and technology, but promises to be entertaining regardless of the level.
Yes, it’s about the data normally called “big”, but it’s not Hadoop for the database crowd, despite the prominent role Hadoop plays. The session will be technical, but in a technology preview/overview fashion. I won’t be teaching you to write MapReduce jobs or anything of the sort.
The first part will be an overview of the types, formats and structures of data that aren’t normally in the data warehouse realm. The second part will cover some of the basic technology components, vendors and architecture.
The goal is to provide an overview of the extent of data available and some of the nuances or challenges in processing it, coupled with some examples of tools or vendors that may be a starting point if you are building in a particular area.
BI congres 2014-5: from BI to big data - Jan Aertsen - PentahoBICC Thomas More
7de BI congres van het BICC-Thomas More: 3 april 2014
Reisverslag van Business Intelligence naar Big Data
De reisbranche is sterk in beweging. Deze presentatie zal een reis door klassieke en moderne BI bestemmingen zijn, toont een serie snapshots van verschillende use cases in de reisbranche. Tijdens de sessie benadrukken we de capaciteit en flexibiliteit die een BI-tool nodig heeft om u te begeleiden op uw reis van klassieke BI-implementaties naar de moderne big data uitdagingen .
WSO2.Telco - The Open Source Digital Enablement PlatformWSO2
The mobile Internet ecosystem is fragmented, underserving the needs of people, businesses and brands. This session was presented at a joint partner event within the Mobile World Congress with Tone, who combines mobile content services from top brands with Axiata’s innovative MIFE platform, based on WSO2 Open Source technology. This initiative enables Telcos and brands to partner and offer subscribers personalised access to relevant mobile content services that they choose – the result: enduring customer engagement and sustainable revenues.
Sanjiva Weerawarana, Ph. D Founder, CEO & Chief Architect of WSO2 and Mifan Careem, Director of Solutions Architecture presented this session at the Mobile World Congress in Barcelona.
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
7 Dimensions of Agile Analytics by Ken Collier Thoughtworks
We are in the midst of an exciting time. There is an explosion of very interesting data, and emergence of powerful new technologies for harnessing data, and devices that enable humans to receive tremendous benefits from it. What is required are innovative processes that enable the creation and delivery of value from all of that data. More often than not, it is the predictive (what will happen?) and prescriptive (how to make it happen!) analytics that produces this value, not the raw data itself. Agile software teams are continuously involved in projects that involve rich, complex, and messy data. Often this data represents innovative analytics opportunities. Being analytics-aware gives these teams the opportunity to collaborate with stakeholders to innovate by creating additional value from the data. This session is aimed at making Agile software teams more analytics-aware so that they will recognize these innovation opportunities. The trouble with conventional analytics (like conventional software development) is that it involves long, phased, sequential steps that take too long and fail to deliver actionable results. This deck will examine the convergence of the following elements of an exciting emerging field called Agile Analytics:
sophisticated analytics techniques, plus
lean learning principles, plus
agile delivery methods, plus
so-called "big data" technologies
Learn:
The analytical modeling process and techniques
How analytical models are deployed using modern technologies
The complexities of data discovery, harvesting, and preparation
How to apply agile techniques to shorten the analytics development cycle
How to apply lean learning principles to develop actionable and valuable analytics.
AWS re:Invent 2016: Big Data Architectural Patterns and Best Practices on AWS...Amazon Web Services
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
OGPL is a joint product from India and United States to promote transparency and greater citizen engagement by making more government data, documents, tools and processes publicly available.
Malaysia’s importance came into existence due to its central location in the ASEAN countries. The international trade has made great jumps in using ICT as a driving factor to reduce cost in global trade. The enhancement of Information and Communication Technology made an impressive transformation of economic environment. Malaysia is considered one of the key points for import and export in the region; thus the government has made large investments in building advanced and high tech infrastructure to meet the increasingly demand for higher speeds and advanced communication facilities.
Presentation on eGovernance and Open Governance products launched/under development in Moldova, in the context of building e-Democracy. 6th Internet Governance Forum, Kyiv, Ukraine, September 30, 2015
Big Data Week Kuala Lumpur 2015 Post-Event ReportPeter Kua
Big Data Week Kuala Lumpur 2015 Post-Event Report. Covers:
- Overview and Highlights of Big Data Week KL 2015
- Recap of National BDA Forum on 20 April 2015
- Review of Big Data Week KL 2015 Anchor Event
- Recap of BDWKL Week-long Partner Events
- Testimonials, lessons learned, statistics, photos
The public sector, comprising various levels of
ministries and agencies, is involved in modernising
and transforming their existing business structure
and service delivery. The need to invest and develop
infrastructures, including unifi ed communications,
embedded systems and network enablement tools,
is growing and becoming more important than ever.
As a result of this sudden technological movement
and initiative, the public sector is scrambling to plan
and execute them to ensure the highest level of
citizen satisfaction.
Open Government Partnership Seminar and Exhibition by IDEASPeter Kua
The Institude for Democracy and Economic Affairs (IDEAS) is organizing a one-day seminar and exhibition on Open Data for good governance, civic engagement and economic growth. The objectives of the seminar are:
To advocate for enhanced civic engagement and good governance as an outcome of open data initiative
To strengthen the coalition’s work and to encourage other organisations to join the coalition
To disseminate Open Government Partnership values and related projects.
Big Data Analytics: The Key in Driving the FuturePeter Kua
An illustrated introduction and guide to Big Data Analytics (BDA) and how it can benefit you. Produced by the Multimedia Development Corporation (MDeC).
Big App Challenge 2014 Post Mortem ReportPeter Kua
The Big App Challenge is the first program under the National Big Data Initiative that serves as a ground-breaking platform for individuals or companies to explore the possibilities of using Big Data Analytics (BDA). The challenge showcased the importance of BDA in solving Malaysia’s challenges pertaining to national issues and societal well-being through Open Data from the government. Here's the post-mortem report.
MDeC, Tune Talk, Effective Measure Mobile Data Visualization Hackathon (6-7 D...Peter Kua
Slides that was presented during the MDeC, Tune Talk, Effective Measure Mobile Data Visualization Hackathon on 6 & 7 Dec 2014. A 24-hour coding fest that saw over 30 teams sweat it out at Cyberjaya, Malaysia. Prizes were sponsored by Tune Talk, Dell and MDeC. A Malaysian Big Data Analytics Initiative.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
2. A STRUCTURED FRAMEWORK TO DRIVE MALAYSIA
TOWARD A LEADING REGIONAL BDA PLAYER
Malaysia as a Leading Regional BDA solution
hub & deliver new value to all sectors
Create a national BDA ecosystem to enable the proliferation of use of BDA
as a catalyst for further economic growth
Productivity
Gain
ICT Industry
Growth
Government
Savings
Benefits for
Rakyat
Catalyst of Game
Changing Innovation
SPUR DEMAND FOR BDA
IN ALL SECTORS
CATALYSE ADOPTION AND USAGE
OF BDA IN PUBLIC SECTOR
BUILD BDA INDUSTRY
GALVANISE
MINDSET
PEOPLE &
TALENT
DATA
GOVERNANCE &
POLICY
TECHNOLOGY
PLATFORM
INDUSTRY-DRIVEN
OPEN
INNOVATION
Cross Sector Collaborations – Public & Private
OUTCOMES
STRATEGIC
INTENT
ENABLERSMISSION
1 2 3
2
3. DATA SCIENCE PROGRAMSImperative #1
Talent
ASIAN DATA
SCIENCE INSTITUTE
LEADING DATA
SCIENCE
UNIVERSITIES
LOCAL INSTITUTES OF HIGHER LEARNING
INDUSTRY
Formal
education
Jobs fulfillment
Upskilling
+ Data Science
courses in other
IHLs
Demand
CERTIFICATION COURSES
MSC MALAYSIA MYPROCERT
3
4. A Letter from UK Prime Minister David Cameron to
government departments, May 2010 To open
government data such as crime data at street level,
local government spending data and etc.
UNLOCKING THE VALUE OF OPEN DATA
Open Data: Data that can be freely used, reused and redistributed
UK
15,000
Datasets
1ST
2014 OPEN DATA RANKING
3
RD
10TH
53RD
US
157,000
Datasets
AUS
3,700
Datasets
SG
20,000
Datasets
MY
121
Datasets
NA 50TH
Target
2020
MY
Presidential Order 2013 for government data to be
open: “Open Data will help entrepreneurs create
products & services we haven’t imagined yet” ~
President Barack Obama
Imperative #2
Open Data
4
Source: Open Knowledge Foundation
5. 2014 MSC Malaysia Implementation Council Meeting
ACCELERATING IMPACT OF OPEN DATA
Imperative
#2
Imperative #2
Open Data
RahsiaBesar
Rahsia
Sulit
Terhad
Terbuka
Opening Up Non-Sensitive Government Data
Policy for all government agencies to open
up data categorised under terbuka
o E.g. - non-sensitive data like meteorology,
transport timetables and pricing of essential
goods based on Open Data criteria
Publishing these data
in data.gov.my platform
to drive innovation
Data.gov.my
OPEN INNOVATION
E.g.: UK Open Data – 200+ apps on
Transportation for London
Mapumental visualises
public transport travel
times
London Live Bus Map
uses real time bus
location data
5
6. Working with world class technology partners to spin off multiple COE
in different industries
INDUSTRY-DRIVEN CENTRES OF EXCELLENCE
(COE)
o POC for specific industry-
driven outcomes
Imperative #3
COE
o Market driven solutions
o Innovative startups