Mobile Data Center : A fast, flexible and cost effective way for modern data centers

Mobile Data Center which are simple to outfit, quick to commission and easy to deploy. The mobile data center is designed so to be up and running in weeks. They can be carried or shipped by truck, boat, rail or airplane, and operated in virtually any whether environment from deserts to mountain tops, in wet weather or dry.

It is slow and requires many labors to build a fixed data center. It requires lot of resources for deployment and if we want to build one in a remote location requires even more cost and risk. To take it from planning phase to fully operational phase requires years and cost millions.

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Microserver or mobile data center is a small part of a server that works like a server. Microserver is a server appliance that is designed for ease of maintenance and installation.

Microserver consists of following things configured and preinstalled by the manufacturer.

•          Operating system
•          Hardware 
•          Software 

A micro server is popular among small and medium sized businesses that needs a server but do not need a full scale or large scale server. Micro server is also used by corporations that operate with small no of IT staff at local or branch offices.

Latest in Microserver or Mobile Data Center

FAST Mobile Data Center (MDC)

The traditional mobile data centers can stand in the way of your success but they are not only extremely expensive but they can take years to plan, deploy and design.

The Mobile Data Center is Adaptable and Flexible, which includes self contained units and solutions ranging from 10 to 53 and modular buildings. Fast mobile data center is engineered for extreme portability and these self contained units feature integrated computing, storage, power, networking and cooling that offer a powerful, low cost alternative to traditional data centers.

Key Benefits of the Mobile Data Center or Microserver

•    It is easy to Deploy
•    It is flexible and scalable
•    It is quick to commission
•    It is fully customizable
•    It is cost effective and complete
•    It is shock or vibration Isolation
•    One Vendor

  

Future Market Report

Global Market Forecasts and Analysis published by MarketsandMarkets : the Mobile datacenter/Micro Datacenters Market is forecasted to reach $21.03 billion by 2018 at a CAGR of 53.11% from 2013 to 2018.

http://www.prweb.com/releases/micro-datacenters-mdc/market/prweb10454664.htm

Hadoop Market Research : Grow Your Business Using Big Data Analytics

Big Data Market Research

Big Data Hadoop is a software framework which is open source for the purpose of storage and processing of data sets on clusters of the hardware. Hadoop is an Apaches top level project being developed and used by a global community of contributors and users. It is licensed under the Apache License 2.0.

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The Apache Hadoop consists of the following modules:

·    Hadoop Common – This module consist of  libraries and utilities which can be needed by other Hadoop modules

·    Hadoop MapReduce – This module is a programming model for large scale high level data processing.

·    Hadoop YARN – It is a resource management platform responsible for managing resources in clusters and later can be used for scheduling of user’s applications.

·     Hadoop Distributed File System – It is a back end of Hadoop. It is a distributed file system that stores data on commodity machines.

Why Hadoop?

As per the survey report 80 % of the world’s data is unstructured (i.e. means it not managed), and most business organizations don’t even attempt to use this data for their advantage. Imagine if you could afford to store all the data generated by your business? Imagine if you had an idea to analyze that data?

Hadoop is the answer to all the above questions as it can store data in a structured way and when the data is managed we can analyze it in a much greater and accurate way.

Hadoop enables a computing solution that is:

·         Scalable - New nodes can be added when needed and added without a need to change data formats or data.

·        Cost effective - Hadoop computes data parallel in commodity servers. The result is that there is a decrease in the cost per terabyte of data storage which in turn makes the data hosting and analyzing affordable.

·         Flexible - Hadoop can absorb any type of data no matter whether it is structured or not, no matter from how many number of sources the data is coming. Data from multiple sources can join and analyzed, aggregated in different ways.

·  Fault tolerant - When you lose or delete a node then the system doesn't give error but it redirects work to another location of the data and continues processing and analyzing without missing a beat.

Latest News

Cloudera raises $160 m for Hadoop big data push

Big Data Market Research (Big Data Hadoop Market Research)

According to the latest market research report Big Data Analytics Market or Hadoop market in 2012 is worth $1.5 billion and is expected to reach to about $13.9 billion by 2017, at a CAGR of 54.9% from 2012 to 2017.

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http://www.forpressrelease.com/forpressrelease-245984-global-hadoop-market-worth-1395-billion-by-2017.html

Smart Grids, Smart Energy and Smart Grid technology : The Future of Energy Analytics Market

Smart Grid:

A smart grid is a new world modernized electrical grid that may use analogue or digital information and communication technology to gather data of consumer so that it can act on information such as information about the behaviors of consumers and suppliers, in an automated way to improve the reliability, efficiency, economics, and sustainability of the distribution and production of electricity.

Features of the Smart Grid: 

·      Reliability

·     Load adjustment or Load balancing

·     Sustainability

·     Peak leveling and time of use pricing

·     Flexibility in network topology

·     Efficiency

·     Market Enabling

·     On Demand response support

Why are we focused on Smart Grid?

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It is because Energy Data Analytics is a crucial aspect of any data driven energy management plan. Automated energy data analytics determine variation between base and actual energy data. We can also make these energy data analytics as a guideline to compare previous performance of energy usage with actual energy usage. Energy data analytics help organizations and businesses to determine whether their Building Management System is operating efficiently and completing the targeted energy usage goals or not. This data can be used by them to detect areas for improvement or also can be used for detecting energy efficient upgrades. 

The term Smart meter often refers to as an electricity meter but it is also used to measure water consumption or natural gas. 

Additional Features of Smart Meters:

·             Real Time or near Real Time Sensors

·     Power Outage Notification and

·     Power Quality Monitoring. 

Smart Energy:

Smart Energy is also a part of future energy conservation technology as it helps to reduce the energy consumption. Smart Energy is a technology platform which is used to monitor and actively manage energy consumption at the end user level.

Features of Smart Energy:

·            Manage peak loads directly

·     Increasing efficiency and

·     Allows consumers to adopt more sensible energy usage           habits.

According to the current market report the global Energy Analytics Market means smart grid market is forecasted to grow from $1.42 billion in 2013 to $4.74 billion in 2018. This represents a Compound Annual Growth Rate of 27.3% from 2013 to 2018. In terms of regions it is said that North America is expected to be the biggest market.

http://www.quora.com/Jonathan-Rayfield/Posts/Utility-Analytics-Energy-Analytics-Market-Expected-To-Reach-4-74-Billion-By-2018 

Business Intelligence : The Perfect Driver of Modern Business

What is Business Intelligence?

Business intelligence is a term that refers to a variety of software applications which are used by organization to analyze their raw data. Business Intelligence as a field of discipline is made up of several inter-related activities which include online analytical processing, data mining, reporting and querying.

                                                    

Companies use Business Intelligence to improve their decision making, cut costs and to identify new business opportunities by analyzing data. Chief Intelligence Officers of companies use Business Intelligence to identify the business processes which are inefficient that are ready for re engineering.

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With today’s Business Intelligence tools business organizations can jump in and start analyzing data themselves rather than waiting for IT to run complex queries. Executives have to ensure that the data which is used as an input in Business Intelligence applications is clean and consistent so that users can trust it.

Generally Business Intelligence is made up of an components and these components are as follows are:

•          Open item management
•          Version control and process management
•          Probabilistic simulation and Statistical inference 
•          Interface with unstructured data source
•          Real time reporting with analytical alert
•          Multidimensional allocation and aggregation
•          Standardization, Denormalization and tagging
•          Key performance indicators optimization

Business Intelligence can be used for following business purposes to drive our business

•          Measurement
•          Analytics
•          Enterprise Reporting 
•          Collaboration Platform
•          Knowledge Management

Business Intelligence Software is developed with the primary goal of fetching important data from an organization’s raw data, analyze the data and indirectly it helps a business to take faster and more accurate decisions. Business Intelligence software uses following analytics features

•          Statistics
•          Data and Text Mining
•          Predictive Analytics to reveal platform
•          Turn Information into insights

In the current market scenario according to the top market research firm MarketsandMarkets which has recently conducted a study on the Business Intelligence Market. The study reports that the global Business Intelligence Market is expected to grow from $5.25 billion in 2013 to $16.52 billion by 2018, at an estimated growth of 25.8% during this forecast period.

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Software Defined Networking : A Cost Effective And Fast Way of Networking

What is Software Defined Networking?

Software Defined Networking is an approach towards networking in which control is taken back from hardware and given to a software application which is called as controller. Software Defined Networking is used mostly in Software Defined Storage, Data Center, Software Defined Servers and Software Defined Data Center.

Software Defined Networking often states that software which is managing hardware is separate from that hardware, but it is certain that hardware may or may not have automation software embedded in it.

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The ultimate goal of Software Defined Networking is to allow administrators and network engineers respond quickly to changing requirements of business. In software defined storage, without touching individual switches a network administrator can shape traffic from a centralized control console to anywhere. When necessary the administrator can change any network switch's rules as he is authorized for doing that stuff like blocking specific types of packets, prioritizing and de-prioritizing. This is what which is especially helpful in a cloud computing multi-layer architecture because it authorizes the administrator to manage or control traffic loads in a flexible and more efficient way. Especially, this authorizes the administrator to use less expensive commodity switches and have maximum control over network traffic flow than ever before. 

Software Defined Networking Deployment Models:

•          Symmetric versus Asymmetric
•          Flood less versus Flood Based
•          Host-based versus Network Centric 

Nowadays it is seen an Increasing demand for flexible and cost effective data centers along with the requirements for automatic networking configurations are playing an important role in shaping the future of the Software Defined Storage Market. Data Center Solutions can be independently operated and they can be integrated together to provide an overall cost effective solution for the data center or data centers.

The major things which are responsible for driving this software defined networking market are the innovations taking place in processing power, storage memory and manual networking configurations

According to the top research firm MarketsandMarkets the global software defined networking market which is estimated at $396.1 million in 2013 and expected to reach to $5.41 billion in 2018. This represents an estimated growth of 68.7% from 2013 to 2018. In the current market scenario it is seen that telecommunication service providers continue to be the largest user for Software Defined Storage solutions which is closely followed by cloud service providers. When it is In terms of regions then North America is expected to be the biggest market.

Latest News for Software Defined Networking is that AT&T Inc is going to adopt it.

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Rising Digital Data Globally Makes Data Center Networking Market A Worth Investment

Data Center can be explained as a system which is used to house computer systems and its associated components such as storage devices for huge data storage purpose and telecommunication for networking purpose. It generally consists of redundant power supplies, environmental controls, redundant data communications and various security devices.

Geographic expansion, virtualization, rising density of computers, data storage growth and increasing government regulation are all the factors responsible for adding more demand on your data center.

The integration or convergence of mobile services, video and cloud technologies are making impact on the next generation data center networks.

The rapidly increasing usage of mobile devices and global acceptance of cloud services are putting tremendous workload on data center networks. At the same time, In order to support new emerging operational models businesses are placing new requirements on the network and to make these demands fulfill, data center networking vendors are transforming data center networks into a automated resource which is responsible for providing flexibility to move workloads through any cloud along with maintaining easy diagnosability and high performance.

Data Center Networking Market is segmented by the type of products used in data center networking:

·        Ethernet switches

·        Router

·        Storage Area Network

·        Application Delivery Controllers

·        Network  security and equipment

·        WAN optimization appliances

By End User environment:

·        Enterprises

·        Cloud service providers and

·        Telecommunication service providers

By Industry verticals:

·        High Tech

·        BFSI

·        Healthcare

·        Government

·        Education

·        Retail

·        Media and

·        Entertainment and others

By Geographical regions:

·        North America (NA)

·        Europe (EU)

·        Asia Pacific (APAC)

·        Middle East and Africa  and

·        Latin America (LA)

Today digital data is growing fastest as every transaction which takes place today is digital. So the question arises that how to deal with the storage of data?  And the answer which gives us relief is that Data centers which solve the problem of data storage have been evolved significantly in recent years by adopting technologies such as virtualization which is used to increase IT flexibility and optimize resource utilization.

Many organizations are moving their focus toward cloud based infrastructure and services that’s the reason enterprise IT infrastructure needs continue to evolve toward on demand services. A focus has also been shifted on initiatives to reduce the enormous energy consumption of data centers by adopting more efficient technologies and practices in data center management so that it can lead to minimize environmental impact. Data centers built on the basis of these standards have been coined or termed as “green data centers.”

According to the latest research report the global Data Center Networking Market is expected to grow from $12.49 billion in 2013 to $21.85 billion in 2018. This denotes a Compound Annual Growth Rate (CAGR) of 11.8% from 2013 to 2018. It is also expected that North America will be holding the largest market for data center networking which is in terms of geographical territories and in the next 5 years APAC region is expected to be the highest spending in the data center networking market.

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Software as a Service : Future of Application Software Delivery

Software as a Service (SaaS), sometimes called as "On Demand Software" supplied by "Internet Service Providers" or "Application Service Providers" is a software delivery model in which application software and data associated with it are centrally hosted on cloud.

Software as a Service is typically accessed by users accessing the internet via a web browser. Software as a service has become common delivery model for many application software such as content management, human resource management, enterprise resource planning, management information system, gamification, accounting, virtualization etc. SaaS providers have the potential to reduce cost by outsourcing hardware and software maintenance and support. 

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The majority of SaaS solutions are based on a multi level architecture. Using this model a single version of the application, with a single configuration is used for all customers or levels. The application is installed on multiple machines to support scalability, which is called as horizontal scaling. 

Benefits of the SaaS model includes the following :

·         It finds easy to administrate the services.

·        Also contains automatic updates and patch management from their respective ASP’s

·         It is Compatible as all users will have the same version of software.

·         Can collaborate easily, for the same reason

·         We can access it globally.

Organizations now have the option to use application on demand or Software as a Service rather than buying the complete license of the application by the advert of internet. Flexibility of usage, low cost of implementation and a growing mindset among enterprises and business users to try web-based applications are the key factors that have contributed a lot in the growth of regional SaaS market.

Software as a Service (SaaS) market continues to grow rapidly among the enterprises present in Asia Pacific. Australia and New Zealand is the largest regional SaaS market in Asia Pacific due to the advert of better broadband connectivity.

According to a leading research firm the APAC Software as a Service (SaaS) market is predicted to grow from $390 million in 2008 to $4321 million in 2015 at an estimated CAGR of 41.0% from 2008 to 2015.

The economies like India and China which are developing are expected to grow in a higher growth rate as compared to the entire APAC nations in the coming years as the advert and speed of internet is increasing.

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