Big Data: What It Is and What It Takes to Read Them


Just like any other technologies that humans have created, the internet also advanced through time. Back in the day, the internet was basically used by researchers to transfer details from computer to computer. Today, the World Wide Web has now expanded to accommodate social media sites, news platforms, and lately, a lot of businesses.

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Cloud led-Big data or small data for SMEs in India?


Big data has been a buzz word for quite some time now. In fact it could have been the word of the year by oxford dictionary. And even though not many really understand what it is and whether or others are using it already or not, the term manages to echo in most of the board rooms.
You will read many articles on big data and giant moguls talking about the advent of big data, but seldom do you read about anyone from SMEs (Small and Medium enterprises) industry talking about the new ‘it’ or ‘IT’.

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In India, SMEs contribute about 45-50 % total exports and spans across a range of industries from food industry, textiles to services. 90% of the Industrial Units in India belong to the SME sector. The contribution of the SME sector to the entire output of the country is 40%. The SSI (Small scale industries) sector in India alone contributes 7% to India’s GDP (Gross Domestic Product).
What is unique to SMEs is the benefits and challenges associated to it. The major benefits are employment (45% of total employment), large reach with India being largely a rural country, steady rise of entrepreneurship and less capital extensive nature. The challenges mainly are marketing, scalability, technology, information, budget, resources, accessibility, skilled manpower all these that render SMEs dwarfism in front of global established giants. More insights can be found at SMEs_Indian Economy.

So now the big question is that whether SMEs really need the Big Data or not.

One side of argument:

Specialists argue that SMEs need a repository of data, but it doesn’t have to be really large in volume and that CRM (Customer Relationship Management), ERP (Enterprise Resource Planning),  Cloud Telephony, will do enough for SMEs. Google analytics and other such tools available online can help them make sense of business performance on not so big data that is generally required by SMEs as compared to large organizations.

The other side of argument:

A group of specialists argue that SMEs do after all require Big Data and can make use of cloud technology to compete global giants by not overlooking important areas trends that may be identified out of the big data and help target the right market, expand business and stay relevant.

Analytics-as-a-service model for cloud based big data analytics for SMEs can do wonders. Cloud technology can help store big data in a very cost effective way. It will not only help in better administration by reducing manpower and level of monitoring but also move from batch data to real time data within organization. Predictive analytics would help them with business strategies, and make them agile and shock resistant.

In UK, the government wants to put half of all new IT spending through small and medium-sized enterprises (SMEs) across all areas of purchasing, by 2015 to break the oligopoly of major system integrators that dominate IT. Earlier, 80% of central government IT work was undertaken by just 18 large suppliers. The traditional large IT suppliers are also being strongly encouraged to use more SMEs as subcontractors in their work (UK SMEs ). Such government projects and initiatives should also be undertaken in IT sector in India.
They will also be able to make use of social media and SEO in India where internet users are ever increasing with 137 million (11% of total Indian population) online and second largest population on facebook in the world. This can enable SMEs which have to expand the realms of traditional marketing.

There is no gainsaying that not all SMEs in India would require cloud technology and big data after all ‘one size fits all’ approach wouldn’t work. It will vary from industry to industry, company to company on the basis of factors mainly goals and vision, products and services offered, target customers and markets. But the underlying guiding factor is staying relevant in all the spheres of business as globalization today is visible not only globally but persists locally too.

This article is contributed by Sakshi Shioramwar,MBA(marketing) student, DMS, IIT-Delhi. It was first published here.

Essentiality Of Database Management Service In A Company


Essentiality Of Database Management Service In A Company

For any business, compromising on the data integrity service might turn out to be dangerous leading to financial loss. This is because the database includes important information and data related to the business. Hence, you cannot take careless concern over this issue. On the other hand, this database management system has somewhat got more complicated than before. If you plan to handle it all by yourself, the job might turn out to be more complicated. Thus, to solve this problem, nowadays numerous database tools are available in the technology market. However, these tools might not turn out to be reliable. At the same time, maintaining regular database requires great budget. What should you do then? Hire IT service provider specialized in database management services in New York.

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These IT service providers holds immense knowledge about monitoring database and then choosing an appropriate set up for it.

Selection of appropriate database model –

Choosing appropriate database management system and handling it securely requires lots of hard work and concentration. Hence, the first thing that needs to be determined is what type of data will be stored in the database and how will it be stored. At the same time, various other models are available for database management system. Each of these models has a different strategy to store and access the data differently. The IT service providers have the capability to use two different models simultaneously.this is done only for the betterment of the company. Hence, when it comes to choosing a particular model, various factors are considered. A slightest mistake can cause a huge damage to the entire database management system.

Now, as you have chosen the database model, proceed with the implementing process

Once the data are being stored, the next step is to convey the stored data into a new database management system and cleaned. However, for the cleaning process, specific instruction need to be followed. This is because, duplicate records or incomplete records need to be removed. This entire process takes a lot of time. You need to be patience throughout the process. Such work can expertly handled by these IT service experts.

Apart from these two services, cloud computing is another essential service for a strong IT infrastructure. A Company working as Cloud security service provider in New York should be consulted to understand the service in details.

Fiona Lee, is IT specialist with CadreNet. She is an avid reader and enthusiast blogger and engaged with many online communities, from last 5 years she is writing articles on database management services in New York and Cloud security service provider in New York.

What is Voldemort


Voldemort is a distributed key-value data store used at LinkedIn for high-scalability storage problems where simple functional partitioning is not sufficient.

It is named after the very popular fictional Harry Potter villain Lord Voldemort. Voldermort contains in-memory caching with storage system hence a separate caching tier is not needed. It supports horizontal scalability for reads and writes. It is a more of fault tolerant hash table.

Features:

  • Horizontal scalability and High availability for O/R mapper such as hibernate and active-record
  • Support for distribution across data centers that are far apart by pluggable data placement strategies
  • Automatic data replication over large number of servers
  • Versioned data items to maintain and maximize data integrity
  • Transparent failure handling
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What is Cassandra


Cassandra is an open source distributed database management system and an Apache Software Foundation project having Apache License (version 2.0).

It is designed to handle enormous amounts of data spread out across many commodity servers in traditional environment or in Cloud environment while providing a highly available service with no single point of failure. It is a NoSQL solution that was developed by Facebook and now used by companies that have large, active data sets such as eBay, Twitter, Reddit, Cisco, OpenX, Digg etc.

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Data Model in Cassandra

 

Features

  • Scalability
  • Fault-tolerant
  • MapReduce support
  • Decentralized
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FlockDB Definition


What is FlockDB?

FlockDB is an open source, fault-tolerant, and distributed graph database licensed under the Apache license for managing data at webscale. Twitter used it to build user database and manage relationships. It can be efficiently used in high throughput and low latency environments. FlockDB was created by Twitter for relationship related analytics. FlockDB is a database that stores graph data which is optimized for very large adjacency lists, and quick reads and writes but not optimized for graph traversal operations.

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In FlockDB, graphs are stored as sets of edges between nodes which are identified by 64 bit integers. Each edge between nodes is also marked with a 64 bit position. Edge can be used for sorting. For social graphs, integer node IDs will be user IDs while in a graph containing favorite tweets, the destination will be a tweet ID.

Neo4j – graph database


Neo4j

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What is Neo4j

It is an open source property graph database. It is implemented in Java. It is stores data structured in graphs. Graph based model makes it highly agile and fast. It is massively scalable, up to several billion nodes and highly available when it is distributed across multiple nodes. It can be easily embedded by including the Neo4j library jars in your build.

In high availability mode, it has single master and zero or more slaves. It’s high availability feature can handle write requests on all machines so there is no need to redirect those to the master particularly. A slave can handle writes by synchronizing with the master to maintain consistency. All updates propagate from the master to other slaves in due course so a write from one slave may not be immediately visible on all other slaves.