Collaboration: New Challenges for Electronic Records ManagementMaurene Caplan Grey
New collaborative toolsets are emerging and existing toolsets are consolidating. Some of the information created through these toolsets will be records. Records and information management (RIM) specialists need to plan for these new record types . The objective of this presentation is to understand human and technology market trends and gain best practices to be ahead of the market.
Upon completion of this Web seminar, participants will be able to:
1. Analyze market trends to be able to identify vendor hype
2. Recognize the unique, technology lifecycle resulting from collaborative technologies
3. Apply RIM processes to collaboration information
Pre-Recorded Seminar: Monday, March 12, 2007 - Monday, March 19, 2007
(See http://www.arma.org/learningcenter/webseminars/index.cfm?EventID=WSCOLLABORATION)
Collaboration: New Challenges for Electronic Records ManagementMaurene Caplan Grey
New collaborative toolsets are emerging and existing toolsets are consolidating. Some of the information created through these toolsets will be records. Records and information management (RIM) specialists need to plan for these new record types . The objective of this presentation is to understand human and technology market trends and gain best practices to be ahead of the market.
Upon completion of this Web seminar, participants will be able to:
1. Analyze market trends to be able to identify vendor hype
2. Recognize the unique, technology lifecycle resulting from collaborative technologies
3. Apply RIM processes to collaboration information
Pre-Recorded Seminar: Monday, March 12, 2007 - Monday, March 19, 2007
(See http://www.arma.org/learningcenter/webseminars/index.cfm?EventID=WSCOLLABORATION)
IBM Watson Data Platform is an integrated platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations. It is the IBM public cloud foundation designed to support the data and analytics vision of whole enterprises, delivering a fully integrated platform that sustains both analytical investigations and putting insights into active use in production at any scale. It delivers the user experiences that amplify the ability of every data professional to execute on that vision, allowing teams such as data scientists, developers and business analysts to work together across different languages and data models.
The Evolving Role of the Data Engineer - Whitepaper | QuboleVasu S
A whitepaper about how the evolving data engineering profession helps data-driven companies work smarter and lower cloud costs with Qubole.
https://www.qubole.com/resources/white-papers/the-evolving-role-of-the-data-engineer
Brian Kelly, UKOLN, gave a talk on "Web 2.0: Addressing Institutional Barriers" at the ILI 2006 conference in London on 16 October 2006.
See http://www.ukoln.ac.uk/web-focus/events/conferences/ili-2006/
Disruptive Innovation: how do you use these theories to manage your IT?mark madsen
The term disruptive innovation was popularized by Harvard professor Clayton Christensen in his 1997 book “The Innovator’s Dilemma.” Nearly 20 years later “Disrupt!” is a popular leadership mantra that is more frequently uttered than experienced. You can't productize it. You can't always control it – at least what effects it has in practice. You aren't necessarily going to like every product of innovation. So are you sure you want it? If so, how do you promote a culture in which innovation can flower – and, potentially, thrive? Because that's probably the best that you can do.
Perhaps there's a better framing for innovation than just "disruption.“ This session is an overview of commmoditization and innovation theories followed by basic things you can do to apply that theory to your daily job architecting, choosing and managing a data environment in your company.
Modern Architects are faced with the daunting challenge of mapping out the future while caring for the present application portfolio. Join Salesforce Enterprise Architects as they describe a fresh approach to Roadmapping that balances legacy and next-generation technologies, all within a business-focused context.
IBM Watson Data Platform is an integrated platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations. It is the IBM public cloud foundation designed to support the data and analytics vision of whole enterprises, delivering a fully integrated platform that sustains both analytical investigations and putting insights into active use in production at any scale. It delivers the user experiences that amplify the ability of every data professional to execute on that vision, allowing teams such as data scientists, developers and business analysts to work together across different languages and data models.
The Evolving Role of the Data Engineer - Whitepaper | QuboleVasu S
A whitepaper about how the evolving data engineering profession helps data-driven companies work smarter and lower cloud costs with Qubole.
https://www.qubole.com/resources/white-papers/the-evolving-role-of-the-data-engineer
Brian Kelly, UKOLN, gave a talk on "Web 2.0: Addressing Institutional Barriers" at the ILI 2006 conference in London on 16 October 2006.
See http://www.ukoln.ac.uk/web-focus/events/conferences/ili-2006/
Disruptive Innovation: how do you use these theories to manage your IT?mark madsen
The term disruptive innovation was popularized by Harvard professor Clayton Christensen in his 1997 book “The Innovator’s Dilemma.” Nearly 20 years later “Disrupt!” is a popular leadership mantra that is more frequently uttered than experienced. You can't productize it. You can't always control it – at least what effects it has in practice. You aren't necessarily going to like every product of innovation. So are you sure you want it? If so, how do you promote a culture in which innovation can flower – and, potentially, thrive? Because that's probably the best that you can do.
Perhaps there's a better framing for innovation than just "disruption.“ This session is an overview of commmoditization and innovation theories followed by basic things you can do to apply that theory to your daily job architecting, choosing and managing a data environment in your company.
Modern Architects are faced with the daunting challenge of mapping out the future while caring for the present application portfolio. Join Salesforce Enterprise Architects as they describe a fresh approach to Roadmapping that balances legacy and next-generation technologies, all within a business-focused context.
jQuery Mobile: Progressive Enhancement with HTML5Todd Anderson
An overview of the jQuery Mobile framework and its foundation on Progressive Enhancement, as well as a few techniques on breaking a jQM application from the "traditional" browser.
Building the 10x better bank, by @joukpleiter & @jelmerdejong
Slides of the November 11, 2015 webinar 'Omni-channel banking & the digital transformation roadmap'.
In this webinar, Jouk Pleiter and Jelmer de Jong of Backbase will talk about building the 10-times-better bank.
The financial services market is going through many changes. New challengers have appeared and are looking for a slice of the market. In addition, customers are more demanding and more informed, expecting convenience and simplicity when it comes to financial services, particularly online and via mobile devices. People love digital services such as Netflix, Amazon, and Uber because they’re easy to use and deliver great customer experiences. They deliver 10 times more convenience and better customer experiences than the status quo, and are therefore winning the market. It’s only a matter of time before the 10-times-better bank is founded, a thought that's on the radar of every banker.
In this webinar, we outline the journey of creating the 10-times-better bank, providing a detailed analysis of how banks can begin their digital journey, with a strong focus on five main points:
1) new competitors in banking: the disrupters
2) customer experience: the key ingredients
3) omni-channel and the changing channel mix
4) mobile's impact on online sales and share of wallet
5) regaining control in the era of digitization
Techniques SEO 2016 : entités de recherche, navigation à facettes, AJAX et au...Mathieu Gheerbrant
Les techniques d'UX sont parfois en opposition avec le SEO : Lazy-loading, AJAX, navigation à facettes... sans parler des évolutions importantes comme le HTTP/2.
D'autre part, les techniques modernes telles que les entités de recherche sont le point d'orgue de la pertinence et il est indispensable aujourd'hui de les maitriser. Quelques explications dans ce document vous permettront de les appréhender avec plus de facilité.
Voici quelques éléments de réponse, survolés, mais qui vous aideront à démarrer :)
Read the Discussions below and give a good replyDiscussion 1..docxmakdul
Read the Discussions below and give a good reply
Discussion 1.
Information systems infrastructure consists the procedures of Software, Hardware, telecommunications, Networks managed by various specialists. Information systems are complementary networks like an organization that transcend information. Mainly it has 7 main components like Hardware platforms, Operating Systems, Software applications etc.
Information is data given meaning usually through some form of processing and combination with other data. Data is one of individual fact. An information system that collects, processes, manipulates, stores and communicates data according to a set of rules. It may include a methodology for update and feedback.
Usually, we can see information systems as two types. 1. Simple information systems 2. Complex Information systems.
A simple information system can be represented by Rolodex of names, addresses and telephone numbers
A complex information system could be a computer capable of storing the information on many Rolodexes, plus pictures, likes and dislikes, appointments and correspondence, organizing it for retrieval, a keyboard for input, a screen to view it, a printer for retrieval, a disk drive to store it and software to manage it.
Commonly an information system may only refer to a database management system which handles all the functions of collecting, managing, storing and retrieving the Rolodex information. Commonly today’s technological society, information systems are thought of within the context of the technology such as computers and software, but that need not be a case. As noted earlier, a Rolodex is also an information system
IS Evolution: Technology evaluation has impacted our lives positively over the last two decades so we should expect the same or similar outcomes from the future. If we observe the IT infrastructure evaluation, we can find several implementations from Enterprise computing to Cloud and mobile computing. Due to the implemental changes in Information systems, technology revolution happened over two decades.
Now an estimated 2.3 billion people worldwide using internet access and it became affordable. Technological advancements have had affects in all areas Health, Advertisement, Finance, Entertainment, just anything we can think about.
Ans: Give Reply
Discussion 2.
In 1960s a 5 MB of capacity was acquired a truck and now we can see terabytes of information in our grasp. This is an advancement of information frameworks. Today a huge number of clients are making information regarding content, voice, video and so forth. The association of this information is a major test for a portion of the organizations. Presently we are talking not as far as Gigabytes or Terabytes but rather Zettabyte (1000000000 TB).
So as to deal with this information three noteworthy developing patterns are approaching:
1. Democratization of Data: By making the information fair implies that information ought to be accessible for all. There ...
Mamba Media - Decoding Digital LanguageMamba Media
Industry acronyms can be confusing to clients. We put together a list acronyms and jargon as part of a training programme for a PR Agency to help them decipher briefs and digital presentations. They thought it was great and I hope that you all find it useful.
SAP Technology Services Conference 2013: Big Data and The Cloud at Yahoo! Sumeet Singh
The Hadoop project is an integral part of Yahoo!'s cloud infrastructure and is at the heart of many of Yahoo!'s important business processes. Sumeet Singh, the Head of Products for Cloud Services and Hadoop at Yahoo!, explains how Yahoo! leverages Hadoop and Cloud Platforms to process and serve Internet- scale data.
Yahoo! operates one of the world's largest private cloud infrastructures. Learn how technologies scale out for building enterprise-wide trusted platforms with tight SLAs.
URL: http://www.saptechnologyservice.com/track1.html
Ten Things Every Tech Savvy Exec Should KnowDeltinaU
A guide for COOs, CEOs, CFOs, or any exec looking to become tech savvy. Ten Things Every Tech Savvy Exec Should Know features information on Social Media, Cloud Computing, Mobile Apps, Advanced Analytics, Customer Relations Managers, Collaborative Technologies, Tablet Computers, E-Readers, Smart Phones, and more.
In today’s context, the big data market is rapidly undergoing contortions that define market maturity, such as consolidation. Big data refers to large volumes of data. This can be both structured and unstructured data. Big data is data that is huge in size and grows exponentially with time. As the data is too large and complex, traditional data management tools are not sufficient for storing or processing it efficiently. But analyzing big data is crucial to know the patterns and trends to be adopted to improve your business.
We know that having a website is not only thing that you need to shine on the internet.
you need efficient SEO and SMO services. as you may also need some local marketing along with some digital marketing.
How Global Data Availability Accelerates Collaboration And Delivers Business ...Dana Gardner
A transcript of a discussion that explores how comprehensive and global data storage access delivers the rapid insights businesses need for digital business transformation.
Shamit khemka list outs 6 technology trends for 2015SynapseIndia
Originally, We figured we'd reel off some predictions about the coming year. But we're at one of those rare junctures when a bunch of trends have begun to crystallize and We're pretty sure many of them will persist for more than 12 months. Shamit Khemka list outs technology trends.
SynapseIndia technologies and data-driven solutions help our clients grow their businesses. Take a look at the technologies that we specialize in: https://www.synapseindia.jobs/strengths-technologies/
Integrating Structure and Analytics with Unstructured DataDATAVERSITY
How can you make sense of messy data? How do you wrap structure around non-relational, flexibly structured data? With the growth in cloud technologies, how do you balance the need for flexibility and scale with the need for structure and analytics? Join us for an overview of the marketplace today and a review of the tools needed to get the job done.
During this hour, we'll cover:
- How big data is challenging the limits of traditional data management tools
- How to recognize when tools like MongoDB, Hadoop, IBM Cloudant, R Studio, IBM dashDB, CouchDB, and others are the right tools for the job.
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading & best Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide.
www.nidmindia.com
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
How Mentoring Elevates Your PM Career | PMI Silver Spring Chapter
Improve your Tech Quotient
1. Retailer Inc. Site Development
- the (only) way forward in Technology
Author : Tarence
Date : Dec 03, 2014
2. Topics
2
o FEP (Front End Performance)
o Akamai – FEO (Front End Optimization)
o Diff between CDN and Cloud Computing
o Internet of Things (IoT) and Big Data
o DVM/ Recommendations(Promotions)
o Tealeaf
o Tag Management System (TMS) - Ensighten
o Git / SVN
o Adaptive Vs Responsive
o Mobile App Vs Mobile Web
o CMS (Content Management System) -
Teamsite/Wordpress/CQ
o MVC in JS - JS framework Concept
o CSS Preprocessors - SASS/LESS
o Task Runner - Grunt
o CCMP – Cross Channel Marketing Platform (Experian)
o Flat file Vs Relational Database
o NoSQL/ Map Reduce / HDFS - Cassandra
o SEO / SPA considerations
o Text Editors - Sublime Text/Brackets / Vim/Atom
3. FEP (Front End Performance)
3
Adding half a second to a search results
page can decrease traffic and ad revenues
by 20 percent, according to a Google study.
The same article reports Amazon found that
every additional 100 milliseconds of load
time decreased sales by 1 percent. Users
expect pages to load in two seconds—and
after three seconds, up to 40 percent will
simply leave.
5. FEP (Front End Performance)
5
Rule 1 - Make Fewer HTTP Requests
Rule 2 - Use a Content Delivery Network
Rule 3 - Add an Expires Header
Rule 4 - Gzip Components
Rule 5 - Put Stylesheets at the Top
Rule 6 - Put Scripts at the Bottom
Rule 7 - Avoid CSS Expressions
Rule 8 - Make JavaScript and CSS External
Rule 9 - Reduce DNS Lookups
Rule 10 - Minify JavaScript
Rule 11 - Avoid Redirects
Rule 12 - Remove Duplicate Scripts
Rule 13 - Configure Etags ()
Rule 14 - Make AJAX Cacheable
GURUS
Steve Souders
Steve is Chief Performance Officer at Fastly developing web performance services.
He previously served as Google's Head Performance Engineer and Chief
Performance Yahoo!. Prior to that Steve worked at General Magic, WhoWhere?,
and Lycos, and co-founded Helix Systems and CoolSync.
Steve is the creator of many performance tools and services including YSlow, the
HTTP Archive, Cuzillion, Jdrop, SpriteMe, ControlJS, and Browserscope.
Addy Osmani
An engineer at Google working with the Chrome team to build tools to help
improve developer productivity and satisfaction.
He’s also written 'Developing Backbone.js Applications' and 'Learning JavaScript
Design Patterns.
Nicholas C. Zakas
Nicholas C. Zakas is a front-end engineer, author, and speaker. He currently works
at Box making the web application awesome.
Prior to that, he worked at Yahoo! for almost five years, where he was front-end
tech lead for the Yahoo! homepage and a contributor to the YUI library. He is the
author of Maintainable JavaScript (O’Reilly, 2012), Professional JavaScript for Web
Developers (Wrox, 2012), High Performance JavaScript.
6. FEP Dev Tools
6
Compuware/ Dynatrace AJAX Edition:
Help debug and compare performance
to each JS function level – as to the
cause of the script delays.
7. FEP Dev Tools
7
Chrome SPEED TRACER :
This Chrome plugin is very
important to get a second opinion
of what the above tool does and
this also helps us zero in on the
exact reason for page delays on
the browser.
8. FEP Dev Tools
8
Chrome PROFILER/TIMELINE features in Developer Toolbar: These inbuilt Dev toolbar features would assist in
verifying for memory leaks leading to ‘bloating’ (unbinding events for observers etc), handling DOM reflows when
a View or Collection is being rendered on a page etc.
10. FEP - Third Party tools
10
COMPUWARE Ajax Edition (earlier Dynatrace): Browser based testing – Last mile and Backbone testing
GOMEZ Networks: Now acquired by Compuware (Last Mile)
KEYNOTE : Leading Backbone testing framework
12. Diff between CDN and Cloud Computing
The major difference is that cloud computing is a big group of servers in one data center building which is
usually at one location.
On the other hand CDN (Content Delivery Network) is also group of servers but distributed around the
country so it allows web visitors a better and faster access to the website.
CDN
15. Internet of Things (IoT) and Big Data
15
Decimal
Value Metric
1000 kB kilobyte
1000
2
MB megabyte
1000
3
GB gigabyte
1000
4
TB terabyte
1000
5
PB petabyte
1000
6
EB exabyte
1000
7
ZB zettabyte
1000
8
YB yottabyte
Facebook warehouse stores upwards of 300 PB
of Hive data, with an incoming daily rate of
about 600 TB. [2012]
With 50TB of machine-generated data produced
daily and the need to process 100PB of data all
together, eBay's data challenge is truly
astronomical. [2012]
In 2008, Google was processing 20,000 terabytes
of data (20 petabytes) a day.
Akamai analyzes 75 million events per day to
better target advertisements.
16. Internet of Things (IoT) and Big Data
16
The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices
within the existing Internet infrastructure.
Typically, IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond
machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications.
In 2005, Bill Joy, the
inventor of Berkeley
Unix, the founder of
Sun Microsystems,
described a taxonomy
for the Internet. He
called it “the six
Webs.”
1. The Near Web: This is the Internet that you see when you lean over a screen - like a laptop.
2. The Here Web. This is the Internet that is always with you because you accesses it through a
device you always carry - like a cell phone.
3. The Far Web. This is the Internet you see when you sit back from a big screen - like a
television or a kiosk.
4. The Weird Web. This is the Internet you access through your voice and which you listen to -
say when you are in your car, or when you talk to an intelligent system on your phone, or when
you ask your camera a question. Joy concedes that this Web does not yet fully exist.
5. B2B. This is an Internet which does not possess a consumer interface, where business
machines talk to other business machines. It is chatter of corporations amongst themselves
when they do not care about their human drones.
6. D2D. This is the Internet of sensors deployed in meshes networks, adjusting urban systems
for maximum efficiency. This Web also does not yet exist. Joy says that it will embed machine
intelligence in ordinary, daily life.
19. Big Data
19
Rupert Tagnipes (dashbay.com) explains it well -
First, it’s important to define what Big Data is.
I refer to Big Data to mean the data itself – although it is often used interchangeably with the solutions
(such as Hadoop).
I believe that data should satisfy 3 criteria before being considered “Big Data”:
Volume – the amount of data has to be large, in petabytes not just gigabytes
Velocity – the data has to be frequent, daily or even real-time
Structure – the data is typically but not always unstructured (like videos, tweets, chats)
20. Big Data
20
Big data is an all-encompassing term for any collection of data sets so large and complex that it becomes
difficult to process using traditional data processing applications.
The challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and
privacy violations. The trend to larger data sets is due to the additional information derivable from analysis
of a single large set of related data, as compared to separate smaller sets with the same total amount of
data, allowing correlations to be found to "spot business trends, prevent diseases, combat crime and so on.“
Big data can also be defined as "Big data is a large volume unstructured data which can not be handled by
standard database management systems like DBMS, RDBMS or ORDBMS".
Cloudera Inc. is an American-based software company that provides Apache Hadoop-
based software, support and services, and training to business customers.
Apache Hadoop is an open-source software framework for distributed storage and
distributed processing of Big Data on clusters of commodity hardware.
Its Hadoop Distributed File System (HDFS) splits files into large blocks (default 64MB or
128MB) and distributes the blocks amongst the nodes in the cluster.
SAP’s Big Data services and consulting experts can help you transform your IT
infrastructure and implement Big Data technologies that let you capture, store, and
leverage data-driven insights in real time.
22. Tealeaf
22
For example,
Tealeaf can identify what campaigns or
interactions triggered a customer
session to end prematurely and result in
a non-conversion. Another example of
Tealeaf’s technology in action is an
online travel agency finding that when
visitors misspell a vacation package
name and receive zero search results,
nearly 100 percent of the visitors leave
the site without completing a booking.
Tealeaf’s software captures and records what each customer is doing and seeing
in real-time on every page and across all site visits, down to the page-by-page,
browser-level experience.
By capturing every single customer’s visit, as well as the reaction of the site in
response to the customer’s requests, Tealeaf captures both the quantitative and
qualitative details of every single interaction. This data is then used towards
optimizing the customer experience.
28. Git / SVN
28
1. GIT is distributed, SVN is not:
GIT like SVN do have centralized repository or server. But, GIT is more intended to be used in distributed mode
which means, every developers checking out code from central repository/server will have their own cloned
repository installed on their machine. Let’s say if you’re stuck somewhere where you don’t have network
connectivity, like inside the flight, elevator etc., you’ll still be able to commit files, create branches etc.
2. GIT stores content as metadata, SVN stores just files:
Every source control systems stores the metadata of files in hidden folders like .svn, .cvs etc., whereas GIT stores
entire content inside the .git folder. The .git folder is the cloned repository in your machine, it has everything
that the central repository has like tags, branches, version histories etc.
3.GIT branches are not the same as SVN branches:
Branches in SVN are nothing but just another folder in the repository. The chance of adding up orphan branches
is pretty big. Whereas, with GIT you can quickly switch between branches from the same working directory. It
helps finding un-merged branches and also help merging files fairly easily & quickly.
4.GIT does not have a global revision number like SVN do:
We can use GIT’s SHA-1 hash key to uniquely identify the code snapshot. It may not exactly replace SVN’s easily
readable numeric revision no. but, it kind of serves the same purpose.
5.GIT’s content integrity is better than SVN’s:
GIT contents are cryptographically hashed using SHA-1 hash algorithm. This ensures the robustness of code
contents by making it less prone to repository corruption due to disk failures, network issues etc.
33. MVC in JS - JS framework Concept
33
MVC (Model-View-Controller) is an
architectural design pattern that encourages
improved application organization through a
separation of concerns.
It enforces the isolation of business data
(Models) from user interfaces (Views), with a
third component (Controllers) (traditionally)
managing logic, user-input and coordinating
both the models and views.
34. MVC in JS - Comparison ?
34
http://www.slideshare.net/deepusnath/javascript-frameworks-comparison-angular-knockout-ember-and-backbone
Comparison between Angular/Knockout/Ember/Backbone on
Speed
Dependencies
Databinding
Routing
Etc.
38. MVC in JS - 2 way Binding
38
Two-way binding means that:
1. When properties in the model get updated, so does
the UI (view).
2. When UI elements get updated, the changes get
propagated back to the model.
BackboneJS doesn't have a "baked-in"
implementation of #2 (although you can certainly do
it using event listeners).
EmberJS, AngularJS and KnockoutJS have 2-way
binding abilities. http://projects.mariusgundersen.net/JSconf2013/#/overview
Which one is fastest/slowest?
• Ember is slowest when rendering lists
• Angular is slowest when the model is complex
• Knockout is slowest when pushing many items
39. MVC in JS - PushState
39
PushState/ PopState
history.pushState(null, null, link.href);
function addClicker(link) {
link.addEventListener("click", function(e) {
swapPhoto(link.href);
history.pushState(null, null, link.href);
e.preventDefault();
}, false);
}
Not suported in < ie10. Use a polyfill for fallback.
41. MVC in JS - Logic less/Embedded JS Templates
41
Embedded JavaScript Templates
These templating options allow you to embed
regular JavaScript code directly within the
template, an approach similar to ERBs.
• underscore.js
• Jade
• haml-js
• jQote2
• doT
• Stencil
• Parrot
• Eco
• EJS
• jQuery templates
• node-asyncEJS
Logic-less Templates
This group of templates follows the philosophy
that there should be little to no logic in your
templates. They do not allow arbitrary
JavaScript code in the template. Instead, you
must use the small set of constructs offered by
the templating language itself, which,
depending on the language, may include basic
loops, conditionals, and partials.
• mustache
• dust.js
• handlebars
• Google Closure Templates
• Nun
• Mu
• kite
42. MVC in JS - Full Javascript application stack
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43. MVC in JS - Full JavaScript Application Stack
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44. MVC in JS - Full JavaScript Application Stack
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MongoDB is a NoSQL document-based database that uses JavaScript as its query language (but is not
written in JavaScript), thus completing our end-to-end JavaScript platform. But that’s not even the main
reason to choose this database.
Node.js is a platform for building fast and scalable network applications — that’s pretty much what the
Node.js website says. But Node.js is more than that: It’s the hottest JavaScript runtime environment around
right now, used by a ton of applications and libraries — even browser libraries are now running on Node.js.
RequireJS doesn’t only load modules with the AMD API, but it can also define dependencies and hierarchies
on your modules and let the RequireJS library load them for you. It also provides an easy way to avoid
global variable space pollution by defining all of your modules inside functions.
Grunt enables us to automate build tasks, anything including simple copying-and-pasting and concatenation
of files, template precompilation, style language (i.e. SASS and LESS) compilation, unit testing (with Mocha),
linting and code minification (for example, with UglifyJS or Closure Compiler).
MVC JS Frameworks/Templates like Angular, Backbone, Ember, Handlebar, Mustache, Underscore etc.
Code coverage is a metric for evaluating your testing. As the name implies, it tells you how much of your
code is covered by your current test suite. CoverJS measures your tests’ code coverage by instrumenting
statements (instead of lines of code like JSCoverage) in your code and generating an instrumented version of
your code. It can also generate reports to feed your Continuous Integration Server.
46. CSS Preprocessor : Why use one!
1. It adds stuff that should’ve been in CSS first place.
With it, you can start using things like variables, mixins, and
functions. It will allow you to start reusing properties and
patterns over and over, after defining them just once.
2. It will make your CSS dry (Don’t Repeat Yourself!)
.large-heading {
font-family :Helvetica, Arial;
font-weight :bold;
font-size :24px;
text-transform :uppercase;
line-height :1.2em;
color :#ccc;
}
.med-heading {
.large-heading;
font-size :18px;
}
.small-heading {
.large-heading;
font-size :14px;
}
3. It will make your CSS more organized..
h1 {
font-family:Arial,Helvetica,sans-serif;
line-height:1.2em;
a {
color:black;
&:hover {
text-decoration:none;
}
}
}
4. Makes the Code easier to maintain.
Being able to use variables, mixins, and functions means you
can define a value or group of values once at the beginning of
your document, instead of through it, making it easier to
make changes later.
@maincolor: #4575D4;
@accentcolor: #FFA700;
a {@maincolor;}
primary-nav {background-color:@accentcolor;}
OR
a { color:@maincolor; }
a:hover{ color:lighten(@maincolor, 20%;}
5. It's easy to set up.
6. It will make your websites prettier.
7. It's easier to write than you think.
8. It will save you time.
9. It will make your code easier to maintain.
10. Frameworks that supercharge your CSS.
Frameworks built on top of CSS preprocessing languages do even
more heavy lifting.
Example, Compass- a framework built on top of Sass,
automatically generates all those annoying vendor-specific CSS3
properties, has lots of useful functions for generating grids, sticky
footers, and more. It can even generate a sprite sheet for you out
of separate images.
47. CSS Preprocessor (what’s possible!)
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Mixin is a common name used to describe that an object should copy all the properties from another object. To
sum up a mixin is nothing more than an advanced copy and paste. “All” the famous pre-processors have some
kind of mixin.
Logic Statements
.lightswitch(@colour) when (lightness(@colour) > 40%) {
color: @colour;
background-color: #000;
.box-shadow(0 3px 4px #ddd);
}
.lightswitch(@colour) when (lightness(@colour) < 41%) {
color: @colour;
background-color: #fff;
.box-shadow(0 1px 1px rgba(0,0,0,0.3));
}
Loops
.looper (@i) when (@i > 0) {
.image-class-@{i} {
background: url("../img/@{i}.png") no-repeat;
}
.looper(@i - 1);
}
.looper(0);
.looper(3);
//--------------- Output: --------------------
//.image-class-3 {
// background: url("../img/3.png") no-repeat;
//}
//.image-class-2 {
// background: url("../img/2.png") no-repeat;
//}
//.image-class-1 {
// background: url("../img/1.png") no-repeat;
//}
48. CSS Preprocessor (what can go wrong…beware!)
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Your entire team has to be onboard with the particular variation you choose.
Because it doesn’t work without compiling, there’s no ability to live edit a site for quick changes.
And preprocessors, in the wrong hands, can make for some very ugly CSS. Because of the nested nature of
preprocessed code, it’s exceptionally easy to wind up with a CSS file with thousands of lines and properties
that have been nested 5 elements deep when just 2 would do.
COMPASS
Compass is a framework for your CSS that resolves some of the problems with the language. It also includes a
few tools to make development faster and easier:
• it provides a whole range of helper functions for images, colors, typography and more;
• it supports mathematical calculations;
• it helps ensure cross-browser compatibility.
• Cross browser CSS3 mixins (stop trying to remember all those CSS3 browser variations)
• Common typography patterns
• Common styling patterns
• Built in spriting capabilities
• Blueprint module
50. Grunt
50
WHAT IS GRUNT?
Built on top of Node.js, Grunt is a task-based command-line tool that speeds up workflows by reducing the effort
required to prepare assets for production. It does this by wrapping up jobs into tasks that are compiled
automatically as you go along. Basically, you can use Grunt on most tasks that you consider to be grunt work and
would normally have to manually configure and run yourself.
Eg., Concatenating files, running JSHint on our code, running tests, or minifying scripts etc.
55. NoSQL – HDFS (Hadoop Distributed File System)
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Hadoop Distributed File System (HDFS) is a Java-based file system that provides scalable and reliable
data storage that is designed to span large clusters of commodity servers.
HDFS, MapReduce, and YARN form the core of Apache™ Hadoop.
56. NoSQL – Map Reduce (Technique)
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A traditional database product would
prefer more predictable, structured
data.
A relational database may require
vertical and, sometimes horizontal
expansion of servers, to expand as
data or processing requirements grow.
An alternative, more cloud-friendly
approach is to employ NoSQL.
The load is able to easily grow by
distributing itself over lots of ordinary,
and cheap, Intel-based servers. A
NoSQL database is exactly the type of
database that can handle the sort of
unstructured, messy and
unpredictable data that our system of
engagement requires.
58. 58
Workload diversity – Big Data comes in all shapes, colors and sizes. Rigid schemas have no place here; instead you need a
more flexible design. You want your technology to fit your data, not the other way around. And you want to be able to do
more with all of that data – perform transactions in real-time, run
analytics just as fast and find anything you want in an instant from oceans of data, no matter what from that data may
take.
Scalability – With big data you want to be able to scale very rapidly and elastically, whenever and wherever you want. This
applies to all situations, whether
scaling across multiple data centers and even to the cloud if needed.
Performance – As has already been discussed, in an online world where nanosecond delays can cost you sales, Big Data
must move at extremely high velocities no matter how much you scale or what workloads your database must
perform. Performance of your environment, namely your applications, should be high on the list of requirements for
deploying a NoSQL platform.
Continuous Availability - Building off of the performance consideration, when you rely on big data to feed your essential,
revenue-generating 24/7 business applications, even high availability is not high enough. Your data can never go down,
therefore there should be no single point of failure in your NoSQL environment, thus ensuring applications are always
available.
Manageability - Operational complexity of a NoSQL platform should be kept at a minimum. Make sure that the
administration and development required to both maintain and maximize the benefits of moving to a NoSQL environment
are achievable.
Cost – This is certainly a glaring reason for making the move to a NoSQL platform as meeting even one of the
considerations presented here with relational database technology can cost become prohibitively expensive. Deploying
NoSQL properly allows for all of the benefits above while also lowering operational costs.
Strong Community - This is perhaps one of the more important factors to keep in mind as you move to a NoSQL platform.
Make sure there is a solid and capable community around the technology, as this will provide an invaluable resource for
the individuals and teams that will be managing the environment. Involvement on the part of the vendor should not
only include strong support and technical resource availability, but also consistent outreach to the user base.
Good local user groups and meetups will provide many opportunities for communicating with other individuals
and teams that will provide great insight into how to work best with the platform of choice.
NoSQL – Cassandra (Why is it preferred)
59. Flat File VS Relational Database
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Flat File Database
A flat file database is a database designed around a single table. The flat file design puts all database
information in one table, or list, with fields to represent all parameters.
A flat file may contain many fields, often, with duplicate data that are prone to data corruption.
If you decide to merge data between two flat files, you need to copy and paste relevant information from one
file to the other.
There is no automation between flat files. If you have two or more flat files that contain client addresses, for
example, and a client moved, you would have to manually modify the address parameters in each file that
contains that client’s information. Changing information in one file has no bearing on other files.
Flat files offer the functionality to store information, manipulate fields, print or display formatted information
and exchange information with others, through email and over the Internet.
Relational Database
A relational database, on the other hand, incorporates multiple tables with methods for the tables to work
together. The relationships between table data can be collated, merged and displayed in database forms. Most
relational databases offer functionality to share data:
• Across networks
• Over the Internet
• With laptops and other electronic devices, such as palm pilots
• With other software systems
66. SEO (Search Engine Optimization)
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Black Hat SEO White Hat SEO
Meaning Techniques used to get higher search rankings in
an unethical manner.
Conforms to search engine designs and involves
no deception.
Status Disapproved by search engines. Approved by search engines.
Result Site is eventually banned, de-indexed or penalized
through lower rankings.
Results last a long time.
Techniques Black hat SEO techniques include keyword
stuffing, doorway and cloaked pages, link farming,
hidden texts and links, blog comment spam.
White hat SEO techniques include research,
analysis, re- write meta tags to be more relevant,
content improvement and web redesign.
68. SEO in SPAs (Single Page Applications) - UAs
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BROWSER USER AGENTS
Chrome 41.0.2228.0
Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36
Firefox 33.0
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10; rv:33.0) Gecko/20100101 Firefox/33.0
Internet Explorer 11.0
Mozilla/5.0 (compatible, MSIE 11, Windows NT 6.3; Trident/7.0; rv:11.0) like Gecko
Safari 6.0
Mozilla/5.0 (iPad; CPU OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0
Mobile/10A5355d Safari/8536.25
BOT USER AGENTS
Googlebot 2.1
Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)
Googlebot/2.1 (+http://www.googlebot.com/bot.html)
Googlebot/2.1 (+http://www.google.com/bot.html)
Yahoo! Slurp
Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)
Bingbot 2.0
Mozilla/5.0 (compatible; bingbot/2.0; +http://www.bing.com/bingbot.htm)
Mozilla/5.0 (compatible; bingbot/2.0 +http://www.bing.com/bingbot.htm)