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How to find an affordable and effective big data partner?

Bigdata is one of the most trending word in today’s market. The effect of big data in every business- from fortune 500 enterprises to start-up’s is so huge that each and every company wants to leverage it. It doesn’t matter, in which field you are working and what is the size of your company? Data collection, analysis and implementation impact your business in several ways. This is the time where you can’t ignore big data analytics and if you are still saying that ‘Big data is not beneficial for my company’ then you are definitely moving out from the competition.

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How to engage right big data partner?

Today, data is a powerhouse for generating business and exploring growth. And, the beauty is – it doesn’t do anything unless someone know how to explore it. It is never been so easier to solve business problem and uncover new opportunity in ‘big data’ field. As we know, Big Data refers to the data comes from millions of sources i.e. from social media, emails, surfing, cell phone signals, sales transactions, etc. All these data that can be stored can call – big data. To use these data i.e. big data, for the business purpose, we need in-house big data team or we need a big data partner who can help to collect, store, process, analyse, and provide greater insight for decision support. (more…)

Sandboxes and their advantages

If we talk about the development of Hadoop technology then there are two companies which are doing a lot in this field. One is Hortonworks and another is Cloudera. These companies are developing a lot of new ideas and software in the field of Hadoop to make it easier to use and developing a lots of applications on them. These companies provide tools to use and learn Hadoop.

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Sandboxes

When we heard the word “Sandbox” then suddenly our mind clicked about it as a low, wide container filled with sand in which children use to play. But things are different here. We are going to talk about the sandbox used in developing in the field of software development. Basics are quite same but things are different. By providing sandboxes to a child we create an environment of a real playground with some resources and restrictions. Similarly in a software sandbox we create an environment in which development can be done with some tools as resources and some restrictions over what it can do.

So we can write a sandbox as a technical environment in which software development can be done and whose scope is well defined.

Software project having mainly four areas through which every software development steps processed. These are:

  • Development
  • Quality Assurance
  • UAT ( User acceptance testing )
  • Production

All these phase needs sandboxes to deliver their results fast with less risk of technical errors. We have categorized these sandboxes in five different types according to their uses in development process. Those are:

Development – These type of sandboxes provide an environment to developers and programmer to work or develop software with their separate set of tools that comes with the sandbox as a package without affecting the rest of their project team. Hortonworks Sandbox is an example of this in which all related and required tools come along with Hadoop working environment.

Project integration- These sandboxes are used to integrate the environment between a team. As we saw in development process that every team member having their own sandbox, so project integration sandbox establish an environment in which all the team members can exchange data and information to each other and validate the work before sending it to Quality Assurance sandbox.

Quality assurance – These sandboxes are useful in the testing process where it is shared by several teams and is often controlled by a specific separate team. The purpose of this sandbox is to provide an environment as real as the real time use so we can test our applications in different conditions. This sandbox is very useful when many applications access the database but it is same important when a single application access the database. We need to test within this sandbox before approaching to the User Acceptance Test.

UAT sandbox – These sandboxes are used for the acceptance testing purposes. This is the pre-step of production. So these sandboxes provides a real time scenario where the user acceptance testing can be performed.

Production – This is the final stage of software creation i.e. software has to release in this stage. So these sandboxes provide an actual environment in which the software has to establish.

The primary advantage of using sandboxes are that it always contains a package of software for the respective software development, so it makes the developers work easy and reduce the risk of technical errors.

OSP uses all these types of sandboxes while working on any project. With the help of these sandboxes we provide fast and better services to our clients. We provide an error free solutions by using these techniques. By using these sandboxes it’s very easy for us to provide a setup to our clients in less period of time.  These type of special techniques make us different and unique for our clients.

Web data extraction: Big Data – Hadoop way

A few years back, it was all manual data mining and it took long long days for almost all small and medium players in the market for web data mining. Today, technology is evolving a lot and we are in an era of Big data and manual data mining is no more a right method and it is mostly about automation tools, custom scripts, or Hadoop framework.

Now, let us discuss something about web data extraction. It is a process of collecting data from World Wide Web using some web scrapper, crawler, manual mining, etc. A web scrapper or crawler is a cutting tool for harvesting information available on internet. In other word web data extraction is a process of crawling websites and extract data from that page using a tool or programming. Web extraction is related to web indexing which refers to various methods of indexing the contents of web page using a bot or web crawler. A web crawler is an automated program, script or tool using that we can ‘crawl’ webpages to collect multiple information from websites.

In the world of big data, data comes from multiple sources and in huge amount. In which one source is web itself. Web data extraction is one of the medium of collecting data from this source i.e. web. Companies which are leveraging big data technology are using crawlers or programming to collect data. These data comes in bulk i.e. billions of records, or as a data dump. So, it needs to treat as big data and bring into Hadoop Eco system to get quick insight from it.

There are multiples areas where companies can explore web data extraction. Some areas are:

  • In ecommerce, companies use web data extraction to monitor their competitor price and improve their product attributes. They also fetch data from different web sources to collect customer review and using Hadoop framework they do analysis – including sentiment analysis.
  • Media companies use web scraping to collect recent and popular topics of interest from different social media and popular websites.
  • Business directories use web scraping to collect information about the business profile, address, phone, location, zip code, etc.
  • In healthcare sector, health physician scrap data from multiple websites to collect information on diseases, medicine, components, etc.

When companies decide to go for web data extraction today, then they move ahead thinking about big data because they know that data will come in bulk i.e. in millions of records will be there and it will be mostly in semi or unstructured format. So, we will need to treat it as big data and use Hadoop framework and tools for converting it for any decision making.

In this whole process, first step is web data extraction, that can be done using different scraping tools available in market (there are free and paid tools are available) or create custom script using programming language with the help of expert in scripting language like Python, ruby, etc.

Second step is to find insight from the data. For this, first we need to process the data using the right tool based on the size of the data and availability of the expert resources. Hadoop framework is the most popular and highly used tool for big data processing. Also, for sentimental analysis of those data, if needed, we need MapReduce which is one of the components of big data (Hadoop).

To summarize, for web data extraction, we can choose different tools for automation or develop scripts using programming language. Developing a script is often minimize effort as it is reusable with minimal modification. Moreover, as the volume of web data is huge-what we extract, it is always advisable to go for Hadoop framework for quick processing.

Hadoop and Ecommerce Data Management

Data management plays a major role in the success of an organisation. According to Wikipedia “Data management comprises all the disciplines related to managing data as a valuable resource”. As the name defines that it is the management of data. In these days data is playing a crucial role in business. Especially in ecommerce or retail sector companies uses data insight for each and every department for the better improvement in their services as well as improvement in company. They use data management to generate revenue, cost optimization and risk analysis.

We are now living in big data world. Data generated in vast amount with variety and complexity. Data are complex but it’s important too. In ecommerce industry data came from several sources. Managing these data is really a tough job. But to use those data for improvement of the organization we need to manage them in proper manner. So, a proper and effective data management is necessary.

Hadoop is a boat to travel in big data sea. Hadoop is the core and basic technology for most of the big data related solutions, planning and application. It is most highly ranked and used platform for big data analytics solutions and strategies. Hadoop has a great impact on each and every sector where big data is leveraging. Especially in Ecommerce, big data has its own importance. So, Hadoop has been frequently used in retail sector.

In recent years the shopping experience has changed dramatically. Now everything is available on internet as online shopping. The power has been shifted to consumer from retailer. Consumers having more options now than any other time. To compete in this environment retailers or ecommerce business changed their traditional plans and employ new strategies to attract and retain customers. Big data and Hadoop help them to connect with customers and in decision making.

Before going in deep of Hadoop we need to understand the concept of Hadoop. In simple words “Hadoop is a framework on which big data can be processed”. Traditional framework or relational database technology are unable to process big data because of its volume, variety, velocity and complexity. So, we use Hadoop framework for this purpose. In core of Hadoop there are two things, HDFS for storage and MapReduce for processing.

In retail sector MapReduce is used to integrate and analyse the large amount of data and the analysis result helps them in decision making. Some area where Hadoop can be used in ecommerce:

Personalised offer – Using MapReduce retailers try to know about their customers and their capabilities and according to their history they provide personalized offer to each customer.

Fraud detection – Using Hadoop retailers try to find fraudulent behaviour. They analyse the pattern of fraudulent and take decisions to prevent these things.

Social media analysis – Using Hadoop retailers analyse the sentiment of people about their products on different social media platform. It helps them a lot in improving their business.

Improving customer service – Hadoop also helps in improving customer service in ecommerce. Analysing the data of customers feedback companies improve their customer service to provide better shopping experience to their customers.

Predictive analysis – In ecommerce there is a very tough completion between all retailers. They always make plans for a short period of time with long period impact. To keep themselves in competition Companies use Hadoop to predict the future sales and after getting analysis result they make them ready for that.

Hadoop helps ecommerce business in many ways. Companies are using Hadoop for their data management and leveraging data to find better insight which they are applying in decision making. Now a days Hadoop became an integrated part of a successful ecommerce business. In other words ‘Hadoop is playing an important role in ecommerce data management’.

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