Apple’s iBeacon is an emerging Bluetooth based technology, in the mobility sector, focusing on advancements and opportunities in the retail shopping segment, by introducing a data transfer mechanism between devices using Bluetooth Low Energy (BLE) or Bluetooth Smart. This technology eats up small battery power and is highly beneficial to geo-fence the devices. Today’s modern day smart phones have inbuilt this BLE technology due to which it becomes much easier to have inter device communication.
iBeacon recognizes other BLE enabled devices (beacons) as soon as the iBeacon device / phone is around. These beacons send data signals to the iBeacon enabled device / phone in various formats, like commands, pop-ups and many more.
Yet another significant feature of iBeacon is to simplify payment mechanism by introducing contactless payments. The iPhone could be used as an electronic cash inventory to scan items and then pay instantly at the tip of the finger, using PayPal etc. Even before the purchase is done, payment can be made prior to collecting packaged items, so that less time is wasted.
iBeacon also offers digital self service checkouts, which alert you while you are through with shopping with certain basic information / warnings regarding your purchased products, their weight, limitation of storage, fragility and many such features.
How is iBeacon a boon to retail shoppers?
In case you are driving into a parking area which is equipped with iBeacon technology, your iPhone could store your exact parking location and guide you back to the same place, once you are through with shopping.
• Alerts about products, discounts, offers
iBeacon raises alerts and messages about the various discounts and offers about products at a particular shopping mall, just in case you happen to be around in the reachable area of the particular device. In case you are a loyalty customer, it briefs you accordingly about the benefits that you could avail right there, at the touch of a finger.
• Shopping Assistance
This enhanced technology becomes your shopping partner and assists you in choosing and selecting your desired outfit / product. In case you are standing near a likeable stock of items, it showcases all the required details of that particular chosen stock onto your iPhone. It also, as a value addition, helps in how you would look in a particular outfit.
• Extra Advertising
Apart from the normal advertising offers that we usually get on phones, iBeacon offers you surplus of detailed advertising offers like the exact location of the adjoining items that you would wish to purchase along with or cost of that item, along with its offers and promotions.
SPEC INDIA has designed and developed multiple enterprise applications, with its pool of expertise in the mobility sector, be it iOS, Android, Blackberry, Windows mobile, HTML5. It now, ardently, offers its demonstrative experience in iBeacon, the demand of today and the successful highlight of tomorrow. We would wish to exhibit our skills and offerings before you. You are welcome to get in touch with us at firstname.lastname@example.org or visit us at spec-india.com
Java platform, Micro Edition (Java ME) provides a resilient set of technologies for applications running on mobile and embedded devices like industrial controls, mobile phones- both feature phones & smart phones and set-top boxes. Java ME was formerly known as Java 2 Platform, Micro Edition (J2ME).
The versatile Java ME technology is created in order to deal with the constraints associated with building applications for small devices with limited memory, display and power capacity. Oracle defined the basics for Java ME technology to fit such a limited environment and make it possible to create Java applications running on small devices including mobile phones.
The distribution solutions provided by Java ME are many according to the requirement of the deployment platforms.
At the core of the Java Mobile Platform is Java Platform, Micro Edition (Java ME). Java ME is supported by various implementations and developer technologies like Oracle Java Wireless Client, a multitasking Java ME runtime optimized for the leading mobile phone platforms; Java ME SDK, a state-of-the-art toolbox for developing and testing mobile applications; Light Weight UI Toolkit (LWUIT), a compact library for the creation of rich user interfaces and Oracle Java ME Embedded, designed and optimized to meet the unique requirements of small, low power devices.
For over a decade, Oracle has been working along with leading mobile and embedded companies to develop the Java ME Platform through the Java Community Process (JCP). A key achievement has been the definition of the Mobile Services Architecture (MSA), setting a baseline of mobile APIs that developer can target within their applications.
Java ME devices implement a ‘profile’. The most common of these are the Mobile Information Device Profile aimed at mobile devices, such as cell phones, and the Personal Profile aimed at consumer products and embedded devices like set-top boxes and PDAs. Profiles are subsets of ‘configurations’, of which there are currently two, the Connected Limited Device Configuration (CLDC) and the Connected Device Configuration (CDC).
Java ME Embedded Early Access (EA) 2 is an update to the first Java ME Embedded 8 EA release in late 2013. The EA 2 release is an implementation of the Java ME 8 standard (based on the Java ME Connected Limited Device Configuration (CLDC) 8 and Java ME Embedded Profile (MEEP) 8.
Benefits of Java ME
SPEC INDIA boasts of a futuristic Java team creating truly n-tier applications offering an enriched Java mobile applications development services experience. Our Java capabilities are an amalgamation of Frameworks, Architectures and Databases.
SPEC INDIA has 27 years of experience in desktop application development, Web application development, Mobile application development and Enterprise Mobility solutions implementation and deployment for clients spread across over 20+ countries using varied technologies. We successfully demonstrate that SPEC is the apt choice for offshore Java/J2EE /J2ME and now Java ME development services.
Enterprise data warehousing is the framework that integrates diverse data stores and various models to achieve organization goals and user requirements. It acts as a single point of contact for any type of current or historical information leading to logical expertise and answers to complex queries.
Designing an apt data warehouse is a significant task for any organization, since it refers to the central repository of reliable data. One of the prime focus areas while designing a data warehouse is its database component, the dimension model. It is a consistent design practice which presents the data in a standard, insightful form which allows high performance access.
Every dimensional model consists of a table with a composite primary key, which is called the fact table and a set of smaller tables called dimension tables.
Dimensional model elements of a data warehouse design
• Choose the schema model
There are two prevalent schema models being used in a dimensional data warehouse:
o Star Schema
It is a well known and simple type of data mart schema, where in the physical model represents the shape of a star and hence its name. It consists of a fact table in center, surrounded by dimensional table around in the shape of a star. The main highlight of this model is its effortless design with which it achieves quick results with the help of simplistic queries. A star schema mainly separates the data involved during the business processes as facts which carry the quantifiable information and the dimensions which describe the attributes associated with the fact information.
Easier queries, quick aggregations and simplified business methodology are few of the many benefits of using star schema in dimensional modelling. During the star schema design and implementation, the rules of normalizations are not applied and hence this are de-normalized schema.
o Snow flake Schema
It is on a similar line as a star schema, except that here, the design is normalized and the facts tables, which are surrounded by dimensions, are further related to other dimensions. The shape that it resembles is that of a snow flake. It mainly caters to convert complex dimensions into smaller and convenient units.
When there are elaborate dimensions and multiple levels of relationship in the design, a typical snowflake shape is seen. The normalization is primarily to remove the low cardinality attributes and form multiple tables.
• Identify the grain
Choosing the grain is an important aspect of designing a robust data warehouse. Here, the granularity of the fact tables is identified and so is the level of atomic details that we require from the data. Also, the initial candidates for dimensions and measures are culled out.
• Declare the dimension
A significant phase of dimension modelling – it focuses on categorizing the correct dimension for the requirement. A dimension can be explained as a preparation of data to collate business information.
• Choose the facts
Identification of facts is a pivotal phase in designing data warehouses. A fact is a centralized table enclosed by dimensions and has to match to the grain defined in the identification. Facts are located at the center of the star or snow flake schema surrounded by dimension tables. There are two types of columns involved, a measure used for data analysis based on which varied analytical reports are generated and a foreign key to dimensions.
A fact table has the capacity to store the various contents of the data warehouse and different measures such as additive, non-additive and semi-additive.
SPEC INDIA has been involved with diverse and a wide range of data warehousing and BI projects and has a pool of skilled expertise in these technologies. Kindly visit our website www.spec-india.com for further details and we would be glad to get in touch with you through email@example.com