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Digital Marketing Strategy Melbourne

It’s a process of identifying, articulating and executing on digital opportunities that will increase your organization’s competitive advantage

Web Design Melbourne

Here are we to make your Dream come true!! Think Tank Digital's a company known for its aesthetic, effective website designing and building websites.

Online Ecommerce website Melbourne

Marketing strategy for ecommerce online stores/ Generate MAGENTO and WOOCOMMERCE based websites. Virtual Trial room for online store.

Automation Marketing Melbourne

It is a revolutionary way of marketing. Those days are gone when we use traditional marketing. Use this funnel of market segment where you can

Online Marketing & SEO Melbourne

Word of mouth/social media marketing (facebook, twitter, Instagram, Linkedin etc) campaigns/Email marketing and nourishing leads/YouTube ads or

Softwares/Products

We at Thinktank are all set with a wide variety of skills to develop your visionary Software and APPs with certified software engineers.

Google AdWords

Launching your business online easy, sustaining is the hard part. If you are reading this right now, chances are your sales targets are not being met.

Amazon Web Services-Big Data Services- Australia, Melbourne, Sydney and Brisbane

Amazon Web services (AWS)=Amazon EMR, Amazon Elasticsearch Service, Amazon Athena, Amazon Kinesis Firehose, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon S3, Amazon DynamoDB, Amazon DynamoDB for Titan, HBase on Amazon EMR, Amazon Aurora, Amazon RDS, Amazon Redshift, Amazon QuickSight, Amazon Lex, Amazon Polly, Amazon Rekognition, Amazon Machine Learning, Apache MXnet on AWS, AWS IoT, AWS Greengrass

a. Amazon Web services (AWS) Cloud computing, What is cloud computing and what are some examples?, What is Amazon web services (AWS) technology?

b. What are Amazon Web Services?, Amazon Web Service (AWS) Big Data Solution:, What is meant by Big data:, What is Big Data?

c. Big data Analytics (Amazon Kinesis):, Amazon Kinesis Firehose:, Amazon Kinesis Streams:, Amazon Kinesis Analytics:, Amazon Web Services (AWS),

d.Handling big data through AWS, AWS distinguishing characteristics with other Big Data Solution Platform, What is meant by Hadoop ecosystem?

Think Tank Digital Optimizers-Amazon Web Services (AWS)-Big Data

Think Tank Digital Optimizers-Cloud computing Services

Everything has a fixed quality parameter. Amazon, Salesforce and Microsoft Azure runs the best cloud computing certification program. Currently, Amazon web services (AWS), Salesforce, Microsoft Azure are globally recognized. It is the finest cloud computing program in the world. The high-end training courses by Amazon web services (AWS), Salesforce, Microsoft Azure are integrating enormous talent pools within the aspirants. Think Tank Digital Optimizers hire only certified cloud professionals with great experience.

Amazon Web services (AWS) Cloud computing:

In the modern era of technology and advancement, cloud computing has become a requisite for the any business to reach its targeted goal. Cloud computing links to the information technology paradigm that allows the users and enterprises to store and process data over a central network.Resources are shared centrally to ensure coherence and economy of scale as cloud computing minimizes IT infrastructure costs by saving up-front hardware costs.

What is Amazon cloud computing services?

Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. Learn more about AWS Products available in the Cloud.

Cloud Computing:

Cloud computing provides the most convenient method to access databases, servers and a broad set of applications over the internet.Users pro claim that cloud computing enables applications to run faster than usual and maintenance cost of applications is significantly reduced. Due to the availability of information at all times, business decision making has reportedly become more timely and accurate.Cloud computing users admit the benefits cloud computing provides and are satisfied with increased margins, enhanced communication with customers and better management of resources.

What is cloud computing and what are some examples?

Cloud Computing is the use of hardware and software to deliver a service over a network (typically the Internet). … An example of a Cloud Computing provider is Google’s Gmail. Gmail users can access files and applications hosted by Google via the internet from any device.

Amazon Web Services (AWS)

Amazon web service is a subsidiary of ‘amazon.com’ that was launched in July 2002 and provides on a subscription basis specialised cloud computing platforms to individuals and organisations. Amazon web service has a history in promoting organizations to adopt cloud computing.

What is Amazon web services (AWS) technology?

Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.com. Web services are sometimes called cloud services or remote computing services. The first AWS offerings were launched in 2006 to provide online services for websites and client-side applications.

The cloud computing technology provided by Amazon web services (AWS) delivers to the customers a group of virtual computers that are accessible through the internet at all times. The virtual computers that are provided are similar to real computers – they include the console I/O in order to be accessible through any modern browser.

AWS was originally designed user-friendly to enable developers to build entrepreneurial applications cost-effectively. Millions are users are leveraging amazon web services cloud products to build applications in the most flexible and reliable manner.

Amazon helps large organizations to deploy new internal applications such as inventory management solutions, training to employees and payroll applications. Amazon user services (AWS) is located in various regions and has publicly announced to open its first data centre region in the Middle East.

 

What are Amazon Web Services?

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow.

Amazon Web Service (AWS) Big Data Solution:

Amazon Web Services provides a broad range of services to help you build and deploy big data analytics applications quickly and easily. … With AWS you don’t need to make large upfront investments in time and money to build and maintain infrastructure.

With digitization of enterprises, the amount of data that is created and stored is accelerating significantly. The traditional data storage and processing toolsthat claim to enable users to gain competitive advantage in the market are not sufficiently sophisticated to deal with the ‘big data problem’.To store, process and analyze data timely and efficiently, Amazon Web Service (AWS) provide the perfect set of business solutions.

The ‘Big data’ problem:

‘Big data’ relates to such huge and complex data sets that traditionally used data application software becomes a failure when storing or processing it. Big data management has many technicalities involved including the difficulty to put data into structured tables with rows and columns. With the acceleration of digitization of businesses, big data is produced in large amounts and the challenges to capture, store, analyze, share, transfer and search data have significantly increased.

Big data is characterized by 3V’s; Volume, velocity and variety (range of types and sources of data). Organizations process large amounts of data which without a formal medium is place, is difficult to manage. Centralized systems of data storage have enabled the organizations to provide data to authorized persons so that business decisions are made timely and factually.

What is meant by Big data?

‘Big data’ relates to such huge and complex data sets that traditionally used data application software becomes a failure when storing or processing it. Big data management has many technicalities involved including the difficulty to put data into structured tables with rows and columns. With the acceleration of digitization of businesses, big data is produced in large amounts and the challenges to capture, store, analyse, share, transfer and search data have significantly increased. Organizations process large amounts of data which without a formal medium is place, is difficult to manage. Centralised systems of data storage have enabled the organizations to provide data to authorized persons so that business decisions are made timely and factually.

What is Big Data?

Big data Australia (Big data Melbourne, Big Data Sydney, Big Data Brisbane) is extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Lately, the term “big data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem.”Analysis of data sets can find new correlations to “spot business trends, prevent diseases, combat crime and so on.” Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

At the present time, big data relates to the use of predictive analytics, user behaviour analytics or other advanced data analytics methods. Data analytics technologies are required by organizations to process and analyse datasets in order to make informed business decisions. Big data analytics is done through specialized applications with complex elements such as statistical algorithms, what-if analysis and predictive models. Big data analytics can help entrepreneurs explore new revenue opportunities, improve efficiency of operations, gain competitive advantages over rivals, provide better service to customers, make marketing effective and achieve targeted business margins, if done through a reliable software application.

Big data Analytics (Amazon Kinesis):

At the present time, big data relates to the use of predictive analytics, user behaviour analytics or other advanced data analytics methods. Data analytics technologies are required by organizations to process and analyse datasets in order to make informed business decisions. Big data analytics is done through specialized applications with complex elements such as statistical algorithms, what-if analysis and predictive models. Big data analytics can help entrepreneurs explore new revenue opportunities, improve efficiency of operations, gain competitive advantages over rivals, provide better service to customers, make marketing effective and achieve targeted business margins, if done through a reliable software application.

Analytics solutions enable the users to identify new business opportunities, increase operational efficiencies, identify market trends and predict future trends.

Amazon Kinesis Firehose:

Easily load massive volumes of streaming data into AWS. Enable near real-time big data analytics with existing BI tools and dashboards you’re using today.

Amazon Kinesis Streams:

Build your own custom applications that process or analyze streaming data. Continuously capture and store terabytes of data per hour.

Amazon Kinesis Analytics:

Easily analyze streaming data with standard SQL. Kinesis Analytics takes care of everything required to run your queries continuously and scales automatically to match your requirements.

 

Amazon Web Services (AWS)

Amazon web service is a subsidiary of ‘amazon.com’ that was launched in July 2002 and has helped millions of enterprises to cost-effectively solve the big data issue. AWS was originally designed user-friendly to enable the deployment of big data analytics applications with convenience.

IT is being incorporated into businesses through the use of modern technology rapidly. Amazon web service does not fail to contribute towards the acceleration of digitization of enterprises.  Amazon helps large organizations to deploy new internal applications such as inventory management solutions, training to employees and payroll applications. Amazon user services (AWS) is located in various regions and has publicly announced to open its first data centre region in the Middle East.

Handling big data through AWS:

Amazon web services provides the ultimate package for handling big data. AWS defines three basic frameworks that exhibit well managed computing for big data namely Hadoop and Spark, ElasticSearch and Interactive Query Service that enable organizations to self-manage data.The services provided by AWS for producing, processing, storing and analyzing big data include Amazon Kinesis Streams, Amazon Machine Learning, Amazon Redshift, Amazon QuickSight, Amazon Elasticsearch Service, Amazon Elastic MapReduce, AWS Lambda and Amazon DynamoDB.Each of the services is self-sufficient and may be utilized or collectively. With frequent updates, AWS allows users to maintain data through latest technologies.

Benefits provided by the services

Amazon Kinesis Streams10 enables creating custom applications according to the business requirements. With assistance from the Amazon Kinesis Client Library (KCL), an all-encompassing application can be built that can extract data from hundreds of thousands of sources and manage to store terabytes of dataper hour.

Amazon Redshift is coupled with Dynamo DB for NoSQL storage and managed RDBMS instances that in segregation, provide managed data warehouse for its users.

Dynamo DB is a flexible NoSQL database service for applications that require single-digit millisecond latency at any scale.

Amazon EMR uses Apache Hadoop to manage and processes data through the use of Hadoop tools. It works through distributing data across many compute nodes in a Hadoop cluster.Each service application is designed to provide specific benefits that in combination, can solve every big data issue.

AWS distinguishing characteristics with other Big Data Solution Platform:

The features of AWS that differentiate it from other traditional big data solution platforms include flexibility, cost-effectiveness, scalability, elasticity and security – this enables organizations to solve big data problem at their own convenience. The applications are simple and the use is familiar to almost every user.Trainings are conducted to well-equip the customers with the use of software applications. Millions of organizations have gained excessiveadvantage from big data solution provided by Amazon Web Service (AWS) since its introduction.

 

How to choose the correct set of services?

In order to choose an appropriate set of services, an organization must have a business model that aligns with its IT which set to digitize the business.  To bridge the gap, it is important to evaluate business strategies and objectives so that they can be aligned with information technology. An individual user must fully understand this requirements and evaluate whether the service to be obtained will help achieve his objectives. Support is made available by Amazon Web Services (AWS) that makes sure that the customer receives competent service.

What is cloud computing?

Cloud computing is a type of computing that depends on sharing computing resources stored in huge servers situated and handled by big companies rather than having local servers or personal devices to handle applications.

In cloud computing, the word cloud (also phrased as “the cloud”) is used in place of “the Internet or web 2.0 ,” so the phrase cloud computing means “a type of Internet-based computing,” where different services — such as servers, storage and applications — are delivered to an organization’s computers and devices through the Internet.

 

Scope of AWS (Amazon web services) and collaboration with Think Tank Digital Optimizers-AWS Cloud computing Services:

Our Think Tank Digital Optimizers cloud computing professionals can offer various packages of services to their customers. We have freelancers in any of the multinationals countries. There is no doubt about the service quality Think Tank Digital Optimizers provide. We provide the best quality service. The professionals can handle things in a much better way. They develop solutions for the most critical problems at a much lower cost.

The cloud computing experts can provide services from offices as well as online. The skilled workmen undergo different lab training. They pursue more than one Amazon cloud certification course. There are different courses designed for meeting different industrial needs. You can identify the best possible service that your firm needs and hire the professionals for same.

Pre-installed Applications

The virtual computers provided by Amazon web service (AWS) give the added benefit of pre-installed application software including databases, servers and CRM. The installed database software normallyprovides enough storage space for the user data.

Benefits of pre-installed user friendly applications

Amazon web services hasstandardisedcertain features for all applications. These features form the tombstone in enabling businesses to bloom through the use of AWS cloud computing. Solutions provided by these Amazon web service applications include but are not restricted to highly reliable and low cost website and web application hosting, data backup and recovery options, data archiving from gigabytes to petabytes and analysing, storing and sharing massive data sets.

What is the use of Amazon Web Services?

Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. Learn more about AWS Products available in the Cloud.

How does Amazon Web services work?

  1. Amazon Web Services is the cloud computing part of Amazon.com. … With AWS, businesses no longer need to plan for and procure servers and other IT infrastructure in advance. Instead, they can instantly spin up hundreds or thousands of servers in minutes and deliver results faster – on a small budget.

A Brief History of Hadoop:

When did Hadoop come out?

Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used

text search library. Hadoop has its origins in Apache Nutch, an open source web search

engine, itself a part of the Lucene project.

The Origin of the Name “Hadoop”

The name Hadoop is not an acronym; it’s a made-up name. The project’s creator, Doug Cutting, explains how the name came about:

The name my kid gave a stuffed yellow elephant. Short, relatively easy to spell and pronounce, meaningless, and not used elsewhere: those are my naming criteria.

Kids are good at generating such. Google is a kid’s term. Subprojects and “contrib” modules in Hadoop also tend to have names that are unrelated to their function, often with an elephant or other animal theme (“Pig,” for example). Smaller components are given more descriptive (and therefore more mundane) names. This is a good principle, as it means you can generally work out what something does from its name. For example, the jobtracker keeps track of MapReduce jobs.

Why you need AWS cloud computing Services from Think Tank Digital Optimizers?

The AWS (Amazon web services) training has given livelihood to millions of people so far. You can also be the one to get a reputed job after taking the AWS (Amazon web services) training. The acquired skill set not only makes you worthier but also gives you more confidence and self-esteem. You have an extra feather in your hat with the much-needed Amazon web service training.

Why AWS (Amazon web services), Salesforce and Microsoft Azure cloud computing services?

The need for sophisticated solutions provided by Think Tank Digital Optimizers-Cloud computing Services has always been there in the IT industry. So, if you have even the slightest of interest in IT sector, do not give it a second thought. It is always a wise decision to pursue something like cloud computing. The prerequisite for most of the industry would meet once you get the needed skills.

Earlier, Installation of servers in the companies throughout the world was the solution. An enormous amount of budget used to get spent in the server maintenance. Besides, the security levels were also not up to the mark. Thus, data theft always remained a possibility. Data intrusion was the much-apprehended thing for most of the professionals. All these problems now have a solution with Microsoft Azure and cloud computing services. Installing server in a remote location is the key. Delivery of IT resources is possible as one goes to the pricing system. AWS (Amazon web services) is among the top-notch clouds in the market.

The cloud computing professionals undertake security of the data. The Cloud computing experts at Think Tank Digital Optimizers  give a sure shot solution for all the web based services and software managed by the organizations. You can choose any kind of cloud infrastructure that best suits a business. The AWS (Amazon web services) services are far cheaper than you think them to be.

All in all, AWS (Amazon web services) training is the hour`s need. You should hire the cloud computing experts Think Tank Digital Optimizers-Cloud computing Services  and the cloud computing professionals to gives a security base to your firm. The complex IT services have transformed into sophisticated ones with none other than cloud computing services.

Amazon Web Services (AWS) Products and Benefits:

IT is being incorporated into businesses through the use of modern technology rapidly. Amazon web service does not fail to contribute towards the acceleration of digitization of enterprises.The numerous services that amazon web service provides include but are not limited to Clouddrive, CloudSearch, Dynamo Database, Elastic Compute Cloud, ElastiCache, Mechanical Turk, Red Shift and Simple Storage Service (S3), each of which is designed to benefit the business in a specified way.

Unlike many other companies that provide cloud computing service, Amazon web service keeps in view the privacy, compliance, security and governance  requirements of the organisations to which it extends its service.

AWS distinguishing characteristics compared to other cloud computing platforms:

The features of AWS that differentiate it from other traditional cloud computing platforms include flexibility, cost effectiveness, scalability, elasticity and security – this enables organizations to use operating systems, programming models, architectures and databases efficiently to serve diverse business needs as the applications are simple and the use is familiar to almost every user.

Amazon Elastic Compute Cloud (Amazon EC2)

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that is designed to enable enterprises obtain and configure capacity with minimal friction. It provides resizable compute capacity in the cloud. With the auto scaling feature,Amazon EC2 allows user to scale capacity with the change in computing requirements.

Elastic Load Balancing: Amazon E2

The elastic load balancing feature assists in distributing traffic among multiple Amazon E2 instances. It also detects unhealthy instances and reroutes the traffic to alternative instances which helps in achievinggreater fault tolerance in applications.

Amazon Workspaces

Amazon web service provides a high quality desktop experience to its users and provides them the facility to access documents, databases and applications from any sort of device including laptops, iPads, Kindle Fire and android tablets.

Complementary Amazon Web Services

Amazon web service provides a number of other services that enable rapid digital business innovations. Various applications are developed by AWS and are available at a very reasonable cost – you only pay for the competent service that you receive. The applications that Amazon Web Service (AWS) provides work in corroboration with AWS cloud computing and add value to computing. They include Amazon Appstream, Amazon Simple Queue Service (Amazon SQS), Amazon Elastic Block Storage (EBS), AWS Storage Gateway, AWS Import/Export, Amazon CloudFront, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, Amazon ElastiCache, Amazon Redshift, Amazon Elastic MapReduce (Amazon EMR), Amazon Kinesis etc.Moreover, Amazon provides training through webinars and videos to make the users gain maximum benefit of the services and promote their business enterprise to unimaginable levels.

AWS Competitors:

Competitors include Rackspace Hosting, Inc. (RAX) and Softlayer, which was acquired by IBM (NYSE: IBM) in 2013. While competitors have stepped up to the plate, they have yet to score a true hit, with AWS besting them all in terms of market share, revenue growth and margins, as of 2016

 

What is meant by Hadoop ecosystem?

Apache Hadoop and the Hadoop Ecosystem

Although Hadoop is best known for MapReduce and its distributed filesystem (HDFS, renamed from NDFS), the term is also used for a family of related projects that fall under the umbrella of infrastructure for distributed computing and large-scale data processing.

All of the core projects covered in this book are hosted by the Apache Software Foundation, which provides support for a community of open source software projects, including the original HTTP Server from which it gets its name. As the Hadoop ecosystem grows, more projects are appearing, not necessarily hosted at Apache, which provide complementary services to Hadoop, or build on the core to add higher-level abstractions.

The Hadoop projects that are covered in this website are described briefly here:

Hadoop Common: A set of components and interfaces for distributed filesystems and general I/O (serialization, Java RPC, persistent data structures).

Hadoop Avro: A serialization system for efficient, cross-language RPC, and persistent data storage.

Hadoop MapReduce: A distributed data processing model and execution environment that runs on large clusters of commodity machines.

Hadoop HDFS: A distributed filesystem that runs on large clusters of commodity machines.

Hadoop Pig: A data flow language and execution environment for exploring very large datasets. Pig runs on HDFS and MapReduce clusters.

Hadoop Hive: A distributed data warehouse. Hive manages data stored in HDFS and provides a query language based on SQL (and which is translated by the runtime engine to MapReduce jobs) for querying the data.

Hadoop HBase: A distributed, column-oriented database. HBase uses HDFS for its underlying storage, and supports both batch-style computations using MapReduce and point queries (random reads).

Hadoop ZooKeeper: A distributed, highly available coordination service. ZooKeeper provides primitives such as distributed locks that can be used for building distributed applications.

Hadoop Sqoop: A tool for efficiently moving data between relational databases and HDFS.

 

Hadoop Cloud Service Providers:

The advent of the Internet leads the integration of devices. All the devices can connect to the Internet and transfer data from one end to another end.  Hadoop is essential for IoT- Internet of Things to explores the possible potential outputs. The sensors and devices connected to networks sending streams of data. The Hadoop process all these data automatically and guide you to take appropriate action.

The companies are facing the daunting task to analyse the data from IoT devices. Every million second tons of bytes data transfer from one place to another. The companies never face this kind of problem ever before. For example, an automotive company sends millions of data from its sensor readings. These stream of data stores in the data base. The Hadoop can help you to stores this information in one place for computation. Simultaneously, Hadoop processes these data and send relevant information to the user.