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Post Tagged with: Big Data

Data Management & Analysis at LinkedIn

Data Management & Analysis at LinkedIn

data management enables LinkedIn to provide hiring solutions, marketing solutions and networking opportunities to its members

Data management enables LinkedIn to provide hiring solutions, marketing solutions and networking opportunities to its members

LinkedIn is the world’s largest professional network. It has over 187 million members from over 200 countries. Its members include everyone from freelancers to CEOs of Fortune 500 companies. The company started out from California Mountain View in 2003 with the mission to connect the world’s professionals and it surely has achieved that in the last 10 years.

Today LinkedIn earns $252 million in revenues every year and employs over 3200 people worldwide. It has become the go to resource for HR executives whenever they have to look for someone to fill up a position. The profiles of members are their online resume that every employer can see and access. It also provides opportunities for people to connect with the right persons to take their career ahead.

All this is possible because of data collection and management. All information provided by a member in their profile is collected, analyzed and sorted so that whenever anyone wants to access it, they can do so quickly and effortlessly. This data management enables LinkedIn to provide hiring solutions, marketing solutions and networking opportunities to its members.

Not only is the data invaluable to employers but individuals too can use it to search for talent matches, similar jobs, interesting events and networking opportunities. This huge amount of data also allows LinkedIn to customize products through out the world.

LinkedIn uses data scientists to analyze the data collected by it so that they can rapidly make some sense out of it and use it to recognize opportunities and take advantage of these opportunities. These data scientists are usually qualified to analyze data and statistics and also need business skills and knowledge to make sense of this data.

LinkedIn’s success can be attributed to its decision to develop its own data management application. The company used market solutions and customized them for their own particular use to collect, sort and analyze data. It stores data online using Oracle and Expresso. It uses services such as Voldemort, Zoie, Bobo, Sensei, D-Graph, Kafka and Databus. The offline data store uses Hadoop for machine learning, ranking & relevance, Teradata etc. It also uses MapReduce Analytics, Clickstream for A/B site testing etc.

Corporations and business use LinkedIn to search for people to fill up key positions and people with social influence to test new products. Analyzing viral marketing results and recommendation engine optimization are two other services that LinkedIn offers to businesses. It helps create specialized marketing services for different businesses.

LinkedIn’s value creation is based on this data management and making their analysis of the data to key players in a short amount of time. As long as they have the ability to analyze and manage all this data, they’ll continue to grow and market new and customized products. In order to maintain their edge LinkedIn needs to find ways to handle this ever growing stream of data and also improve the quality of their data analysis.

Strata + Hadoop World 2013 an event for big data junkies

Strata + Hadoop World 2013 an event for big data junkies

The Strata + Hadoop World will see some of the most influential decision makers, developers, analysts and architects of big data come together to streamline the future of business and technology. Anyone who wishes to tap into the opportunities foresighted by big data needs to be at the Strata + Hadoop World, since the event is one of the biggest gatherings of Hadoop community anywhere in the world.

Strata + Hadoop World 2013

The future definitely belongs to companies and organizations that learn how to manage the influx of large data to their advantage. And to be able to understand the significance of big data and how it can be streamlined to one’s advantage it becomes really important to make an appearance at the Strata + Hadoop World.

The great event is part of NYC DataWeek celebration, which explores people and organizations dealing with big data to fuel innovation in the city of New York. NYC DataWeek invites all people to attend data related events, most of which are open and free to attend.

Why you should attend the event

  • It is an opportunity to understand the advantages and challenges of big data
  • Find new and innovative ways to channelize data assets
  • Understand and learn how to use data from science projects to your advantage in business application
  • Know about the career opportunities for data scientists (professionals) and how they can be hired or what training is necessary
  • Meet in person with people from same walks of life and learn from their data managing skills

The popularity of the event is such that with five odd days to go, the Strata + Hadoop World 2013 is completely sold out. The event is going to be a great affair, so you must not miss it. In case you cannot attend the event in person, you can participate in either of the following ways:

  • Follow @strataconf on Twitter for news and updates
  • Watch it live, including keynotes and interviews beginning October 29
  • Take home video compilation of Strata + Hadoop World 2013. It will be complete with keynotes, sessions, interviews and tutorials etc.
No, Big Data is not for Big Businesses Alone

No, Big Data is not for Big Businesses Alone

Who on earth can keep track of data in terabytes, Petabytes and Exabytes etc.? These terms may sound strange, but that is the amount of data business have been dealing with off late, which prompts us to believe that we have entered the age of Big Data. It’s important to business both big and small to understand big data because big data isn’t only confined to big businesses.

It has become vital for organizations to understand that Big Data is not only limited to large organizations alone. Small and medium size enterprises don’t need to feel intimidated by the challenges that lie ahead of them in terms of data. So, they need to be versed with ways to handle Big Data judiciously for their advantage.

Importance of Big Data

Big Data is not for Businesses AloneThe data sets that organizations, both big and small create (even if they are not global players) are majorly large. This is why companies of any possible size need to start unlocking their value and need to work on Big Data irrespective of the industry.

There is an influx of large amount of data because of so many available platforms. The problem with so much data isn’t its size, but the issue as to how organizations should analyze and manage so much data to facilitate reductions in cost, time, and make smarter decisions. Since with proper analytics of Big Data, organizations can:

  1. Figure out who their potential customers are, and which ones really mater the most
  2. Organizations considering potential consumer base can analyze the stock and determine prices to maximize profits
  3. Analyzing the Big Data, organizations can calculate risk in seconds and can easily figure out the root cause for all failures or issue that can arise and lead to losses.

We believe straight up that everybody can gain (in some way or the other) from Big Data. But when it comes to businesses, they need to look to see if they can meet the following standards before embarking on the journey of Big Data.

Expertise

Dealing with Big Data requires industry knowledge across most sectors; it also requires deep technical and analytical skills. So, you as an organization need to understand if you have the in-house expertise to deliver? The task will be to look up data from many different possible sources and them piecing them together to gain knowledge about customer base etc.

Understanding and finances

As an organization, you need to recognize if you have a deep enough understanding of how Big Data can work in favor. You need to be sure if you have enough finances to handle it. If for a moment the answer is in the negative, then it is better to rethink your businesses Big Data strategy.

Technologies

There are certain technologies that can help all kinds of organizations to make the most of Big Data analysis some of these include:

  • Faster processors
  • Large storage space and equipment
  • Cloud computing

10 Reasons Why Businesses Choose to Build Cloud on EMC & VMware

10 Reasons Why Businesses Choose to Build Cloud on EMC & VMware

Reasons Why Businesses Choose to Build Cloud on EMC & VMwareWith Amazon web services dominating the cloud, there was very little scope for any other name to make ground. But EMC and VMware with the launch of Pivotal have provided a platform for customers and business to steer their cloud away from Amazon’s service.

 

VMware and EMC have developed its big data and platform as a service (PaaS) cloud platform with the formation of Pivotal led by former VMware chief Paul Martiz. Pivotal is a joint venture between VMware and EMC which aims purposely to oust the current king of cloud computing.

The objective of the initiative is to absorb technology and bring employees and programs scattered around EMC and VMware under one umbrella which has led to the following advantages propagating businesses to choose and build cloud on EMC and VMware instead of Amazon web services.

Pivotal is a joint venture between VMware and EMC10 Reasons why Businesses choose to build cloud on EMC & VMware

  1. One stop shop: The alliance creates a one-stop shop for cloud services. This will enable organizations to speed up their move to the cloud.
  2. Full proof solution: Pivotal is one stop solution for businesses because of the enhanced benefits of the combination of two big names to deliver the best in cloud computing to its users.
  3. Total solution: EMC and VMware partnership allows business to streamline their cloud architecture to need.
  4. Ultimate cloud computing solution: EMC brings vast and varied solutions for corporate and governments of all sizes.
  5. Swift: The platform would enable speedy delivery and help businesses to quickly take advantage of benefits of cloud computing.
  6. Flexible architecture: with Pivotal, you can benefit with EMC’s three path cloud infrastructure to meet the specific needs of your organization.
  7. Protection of data: EMC’s partnership with VMware allows to rapidly protecting your desktops, virtual servers and applications with maximum competence.
  8. Trust worthy security: Pivotal is best for businesses because the platform helps manage risks and maintain security and integrity.
  9. Counseling by experts: VMware and EMC consulting services have experts at work to help business units at every step in the cloud transformation. They help with analysis, implementation and cloud design etc.

10. Training: The new platform helps business tackle new roles and imbibe new skills.