27 December 2014

Social Media Career Options

Social Media career
Skill Set for Social Media Jobs
  • Understands social media universe including Facebook, Twitter, Google+, Instagram, Pinterest, YouTube, Vimeo, Yelp, Urbanspoon, TripAdvisor, Company Blogs/Wordpress and more 
  • Able to work effectively in a multi-tasking environment 
  • Excels at research, possesses excellent writing skills and the ability to create editorial and technical writing output quickly 
  • Proficient with Microsoft Office products, or preferably Apple iWork products 
  • Demonstrated creativity and documented immersion in social media 
  • Have excellent verbal and written communication skills and an ability to work individually on a project or in a team environment 
Social media popularity from Udemy
The career options
  • Management of social media
  • Copy writing
  • Design
  • Public speaking
The popular training (#sponsored)


Popular training in social media

The Hot and coldest skills as per dice



The other popular Social media managers
  • Content creation
  • Marketing analytics
  • News junkie
  • Customer service
  • Community management
  • Funnel marketing
  • Project management

26 December 2014

SAS career these are different job roles

What is SAS?
Originating in 1966 at North Carolina State University, SAS is a proprietary 4th generation programming language specifically designed for data analysis. Data analysis includes data management, ETL, descriptive statistics, plots and graphics, inferential statistics, data mining, forecasting, etc.. In addition to the SAS programming language, SAS Institute, its parent company, also sells solutions built on top of the SAS language.

SAS career
Many people assumptions about SAS: Some people confuse SAS with the common database query language called “SQL”, thinking that both languages manage data in some way. While SAS may be used for database querying (reading/writing data to databases), this is only a tiny fraction of SAS’s capabilities. To give some scope, the entire SQL language is available in SAS as but one “procedure” (think of a procedure as a bundle of functionality).
SKILL Set: What It Is: Pronounced “sass,” this software helps workers perform a variety of tasks, including business forecasting, project management and statistical analysis. 
Different roles in SAS Jobs:
  1. Business analyst
  2. Clinical data programmer
  3. Data Analyst
  4. Data Quality Steward
  5. Data Scientist
  6. Data warehouse architect
  7. Database administrator
  8. Database programmer
  9. Developer
  10. ETL specialist
  11. Financial analyst
  12. IT Manager
  13. Marketing analyst
  14. Platform Administrator
  15. Programmer
  16. Project Manager
  17. Quality analyst
  18. Report programmer
  19. Reporting Analyst
  20. Securities analyst
  21. Statistician
  22. Statistics programmer
  23. Systems/network programmer

20 December 2014

MongoDB - Basics Tutorial | Resources

Excellent Resources on MongoDB

Mongo DB has rapidly grown to become a popular database for web applications and is a perfect fit for Node.JS applications, letting you write Javascript for the client, backend and database layer. Its schemaless nature is a better match to our constantly evolving data structures in web applications, and the integrated support for location queries is a bonus that’s hard to ignore. Throw in Replica Sets for scaling, and we’re looking at really nice platform to grow your storage needs now and in the future.
Now to shamelessly plug my driver. It can be downloaded via npm, or fetched from the github repository. To install via npm, do the following:
npm install mongodb
or go fetch it from github at https://github.com/mongodb/node-mongodb-native
Once this business is taken care of, let’s move through the types available for the driver and then how to connect to your Mongo DB instance before facing the usage of some CRUD operations.
Tutorial on MongoDB

Mongo DB data types

So there is an important thing to keep in mind when working with Mongo DB, and that is the slight mapping difference between types Mongo DB supports and native Javascript data types. Let’s have a look at the types supported out of the box and then how types are promoted by the driver to fit as close to native Javascript types as possible.
  • Float is a 8 byte and is directly convertible to the Javascript type Number
  • Double class a special class representing a float value, this is especially useful when using capped collections where you need to ensure your values are always floats.
  • Integers is a bit trickier due to the fact that Javascript represents all Numbers as 64 bit floats meaning that the maximum integer value is at a 53 bit. Mongo has two types for integers, a 32 bit and a 64 bit. The driver will try to fit the value into 32 bits if it can and promote it to 64 bits if it has to. Similarly it will deserialize attempting to fit it into 53 bits if it can. If it cannot it will return an instance of Long to avoid losing precision.
  • Long class a special class that lets you store 64 bit integers and also lets you operate on the 64 bit integers.
  • Date maps directly to a Javascript Date
  • RegExp maps directly to a Javascript RegExp
  • String maps directly to a Javascript String (encoded in utf8)
  • Binary class a special class that lets you store data in Mongo DB
  • Code class a special class that lets you store javascript functions in Mongo DB, can also provide a scope to run the method in
  • ObjectID class a special class that holds a MongoDB document identifier (the equivalent to a Primary key)
  • DbRef class a special class that lets you include a reference in a document pointing to another object
  • Symbol class a special class that lets you specify a symbol, not really relevant for javascript but for languages that supports the concept of symbols.
As we see the number type can be a little tricky due to the way integers are implemented in Javascript. The latest driver will do correct conversion up to 53 bits of complexity. If you need to handle big integers the recommendation is to use the Long class to operate on the numbers.

18 December 2014

MongoDB and HCL on Bigdata


MongoDB and HCL Infosystems have announced a global partnership which will allow HCL Infosystems to further broaden its solution offerings in the emerging big data segment by developing services around MongoDB.

Commenting on the partnership, Kamal Brar, Vice President APAC, MongoDB, said: "Big Data is more than just addressing increasing volume; organizations need solutions that can manage increasing data variety and velocity. Today, businesses need to quickly ingest, store, and access useful information from massive pools of multi-structured data.This is where MongoDB excels. HCL Infosystems will offer innovative solutions and services for organizations to gain value from their data and make smarter and faster business decisions. Partnering with HCL will further strengthen our footprint globally."

Since its inception MongoDB has collaborated with organizations worldwide and now has a thriving global community. Common MongoDB use cases include single view, Internet o ..

14 December 2014

Teradata Course Contents

Introduction to Teradata
 Data warehousing concepts and SCD’s
 OLTP & OLAP
 Teradata Architecture & Physical Design
 Teradata Vs. Other RDBMS
 BYNETPEs
 AMPs
 Vprocs
 Clique
 Cluster
 Data Storage
 Data Distribution
 Data Access
 Teradata Space Management

Fault Tolerance
 Data Protection
Teradata Indexes and Performance Tuning and Optimization
 UPI – Unique Primary Index
 NUPI – Non Unique Primary Index
 USI – Unique Secondary Index
 NUSI – Non Unique Secondary Index
 PPI – Partition Primary Index
 MLPPI – Multilevel Partition Primary Index
 STJI – Single Table Join Index
 MTJI – Multi Table Join Index
 AJI – Aggregate Join Index
 Global Temporary Tables and Volatile Temporary Tables
 Different Types of Tables in Teradata RDBMS
 Performance Tuning
 Explain Plan
Teradata Application Utilities
 Real-time hands-on Query Man / SQL Assistance
Teradata Application Utilities
 BTEQ
 FastExport
 FastLoad
 MultiLoad
 TPump
 Teradata Parallel Transporter (TPT)
 High Level Design of DWH Architecture from customer request to SDLC


12 December 2014

The biggest threat to cloud security

[Cloud Security]
The biggest threat to cloud security among IT is the company’s employees unintentionally exposing data, according to the latest research figures from CloudEntr.
The study, which took 438 survey responses from industries including financial and manufacturing, found three quarters (75%) of smaller businesses are most worried about their workforce when it comes to securing data in the cloud. Larger IT firms were more concerned about hackers using employee credentials to get their hands on data.
Not surprisingly, regulated institutions were more concerned about cloud compliance than non-regulated, but 75% also said their biggest tool in becoming more secure was employee education.
It’s not just employee education, but shadow IT which continues to be a problem. 29% of those polled said they had no plans to use the cloud in their organisations, but of that number, nearly half of IT pros said they knew of employees who were using it. The vast majority (89%) of IT pros questioned said they were concerned with cloud security, and security (63%) was more important than convenience in a cloud solution.
There have been various vulnerabilities and outages in recent days,from Docker’s vulnerability recorded earlier this week, to Microsoft Azure’s downtime from a bug which slipped the testing process. Dejan Lukan, writing for CloudTech earlier this week, noted data breaches and data loss as some of the most serious threats to organisations, as well as a lack of understanding.

“Enterprises are adopting cloud services in everyday operations, but it’s often the case they don’t really understand what they are getting into,” he wrote. “When moving to the cloud there are different aspects we need to address. If the [cloud service provider] doesn’t provide additional backup of the data, but the customer expects it, who will be responsible when the hard drive fails? The customer will blame the CSP, but in reality it’s the customer’s fault, since they didn’t familiarise themselves enough with the cloud service operations.”

05 December 2014

The best contents you need in Cloud security Training

#the-top-course-contents-you-need-for-cloud-security
#the-top-course-contents-you-need-for-cloud-security
The below are the complete list of course contents that you need in Cloud security trainings to ensure that your training is perfect. Missing any of these, you will miss many things.

  • Cloud Architecture: - Computing Evolution, cloud vocabulary, Essential Characteristics of Cloud Computing, Cloud deployment models, Cloud Service Models, Multi- Tenancy, Approaches to create a barrier between the Tenants, cloud computing vendors, Cloud Computing threats, Cloud Reference Model, The Cloud Cube Model, Security for Cloud Computing
  • How Security Gets Integrated - Governance and Enterprise Risk Management - Information security governance processes, Governance and enterprise risk management in Cloud Computing, Governance Recommendations, Enterprise Risk Management Recommendations, Information Risk
  • Management Recommendations, Third Party Management Recommendations, Legal and Electronic Discovery Risk Management , Legal and Electronic Discovery Risk Management Security Recommendations.
  • Compliance and Audit - Cloud customer responsibilities, Compliance and Audit Security Information Lifecycle Management - Key challenges regarding data lifecycle security, Data Security Recommendations by ILM Phase
  • Portability and Interoperability - Changing providers reasons, Changing providers expectations, Recommendations all cloud solutions, IaaS Cloud Solutions, PaaS Cloud Solutions, SaaS Cloud Solutions
  • Traditional Security, Business Continuity, and Disaster Recovery- Risk of insider abuse, Security baseline, Customers actions, Contract, Documentation, Recovery Time Objectives (RTOs) ,Customers responsibility, Vendor Security Process (VSP)
  • Data Center Operations - Data Center Operations, Security challenge, Implement “Five Principal Characteristics of Cloud Computing, Data center Security Recommendations
  • Incident Response, Notification, and Remediation - How to identify incident, How to response to security incident, Security incident Containment, Security Incident Response Application Security -Web Application, Application Weaknesses, Attack Methods, What is Web Application Security, application security layer, vulnerability distribution, Why Web Application Risks Occur, Security solutions, Applications in cloud environments
  • Encryption and Key Management -Encryption for Confidentiality and Integrity, Encrypting data at rest, Key Management Lifecycle, Cloud Encryption Standards, Identity and Access Management - Identity and Access Management in the cloud, Identity and Access Management functions, Identity and Access Management (IAM) Model, Identity Federation, Identity Provisioning Recommendations, Authentication for SaaS and Paas customers, Authentication for IaaS customers, Introducing Identity Services, Enterprise Architecture with IDaaS , IDaaS Security Recommendations
  • Virtualization - Hardware Virtualization, Software Virtualization, Memory Virtualization, Storage Virtualization, Data Virtualization, Network Virtualization, Virtualization Security Enisa - Cloud Computing Risk Assessment - Guidelines

02 December 2014

Cloud in India Rural Education

Many a times we do things beyond a formal classroom without realizing that we are learning in the process. For example, an individual surfs and accesses material on the Internet in the form of audio, video, wiki and then goes ahead to even create and store information. Understanding the immense power of peer-to-peer learning, Classle, a Chennai-based startup has developed a cloud based education system for rural India. Classle gets lakhs of people together and enables them to connect to each other in thousands of communities available on open social network of Classle. People can connect with these communities to collaborate and share exchange resources in their chosen areas of interest. There are many features to collaborate in addition to make learning fun oriented. The cloud-based system enables students to access learning material free of cost, through their basic, low-cost mobile devices. The impact - more than 55 academic institutions have partnered with Classle-- almost all of them are engineering colleges predominantly in rural areas. Some of them are GLA University, Mathura; Madanapalle Institute of Technology and Madanapalleand Excel College of Engineering, Thiruchengodu.

Read more at: http://www.informationweek.in/informationweek/case-study/287388/indian-startup-cloud-transform-education-rural-india?utm_source=referrence_article

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