Author: Steve Upkin

Steve is a product-marketer and Engineer at Cloudysave who works with Cloud Management and Adoption team. Over the past years, he has collaborated with multiple teams to provide a robust and cost-effective architecture patterns to influence business and engineering decisions. His key areas of interests include Cloud Costs Management, Security and DevOps Best-Practices.
What is Big Data Analytics Course

What is Big Data Analytics Course?

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Today, big data analysis has become extremely vital for gauging the success of any business. Using big data analytics, businesses can minutely analyze information from particular marketing campaigns to find out the pros and effectiveness of their business strategies and operations. Big data analytics helps businesses to make better-informed decisions and set realistic business goals. Hence, increasing numbers of enterprises are looking for professionals who are trained in it. This has resulted in an increased demand for big data analyzers who are certified after undergoing a big data analytics course.

Data analysis is however complex expertise as it is considered to be a blend of art and science. To become a skilled big data analytics professional, you need the skill to analyze the data and glean relevant and important information from it. 

As a data analytics professional your main responsibility is to organize and analyze large volumes of data, by using special data analysis software. The end result of your analysis should be easy and sufficiently simple for business owners and managers to include in their business decision-making. 

Why choose Big Data Analytics Course?

Big data analytics is an immense field that is growing in popularity quite fast today. Increasing numbers of business organizations are realizing the need for implementing big data analytics to their operations. Hence, there is a huge scope for big data analytics professionals in the industry. 

Let’s check out some of the top reasons to choose big data analytics course today:

1 – High in demand

This is the just the beginning of the demand for expert big data analytics professionals. There is a high demand for professionals who are trained in big data analysis as businesses are searching for new and innovative ways to use their accumulated sales, service and customer feedback data more effectively. 

What is Big Data Analytics Course - High in demand

What is Big Data Analytics Course – High in demand

Research shows that there is a marked increase in business organizations adopting big data analysis into their daily business operations for the past few years. Almost every large, the multinational enterprise is now using big data analytics, while the rest are looking for the services too.

2 – Better job opportunities 

There has been a steady increase in the demand for big data analytics professionals but their numbers are just not sufficient to fulfill it. Despite the huge demand for big data analysis experts, there are numerous companies who are still searching for certified data analytics professionals. Studies have predicted that the demand is set to increase for big data analyzers and India is set to be one of the foremost suppliers of professionals who are certified in big data analytics courses. 

Owing to the scarcity of professional big data analyzers, there is an expected rise in demand for big data analysis outsourcing as well which will benefit professionals immensely. 

3 – Lucrative job profile

Increasing demand for big data analytics professionals is resulting in intense salary growth for existing certified professionals. According to a research study, the salary for a big data analytics professional is set to rise by 4% every year, which is certainly an exponential growth. 

4 – Big Data is vital

According to research, around 77% of top business enterprises rank big data analysis as one of the most vital aspects for the successful growth of the business. Big data analytics professionals are responsible for sifting through immense volumes of data to provide in-depth insight to businesses for making better business decisions and set practical business goals. An ideal big data analytics course teaches you to provide the relevant derivative which helps business owners and managers to improve their business policy and combat marketing challenges more effectively. 

A surprising conclusion from a report by the Bureau of Labor Statistics shows that only 9% of professionals working in math and computers are officially certified. Skill is not enough to succeed. You need to have relevant certification to excel in this field. 

5 – Multi-sector opportunity

Data analysis is being used in multiple industries today. Hence, certified big data analysis professionals will find lucrative job opportunities in numerous fields, which is extremely beneficial from the perspective of career growth. Finance, healthcare, logistics, retail and human resources are just some of the fields where big data analytics professionals are in high demand. 

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Best Big Data Analytics Tools

10 Best Big Data Analytics Tools

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Gone are the days when the data collected by businesses could be counted in kilobytes and gigabytes. Today, almost every organization collects data worth many terabytes. However, collecting data is pointless unless it can be processed to glean relevant and precise information from it. This is where big data analytics tools become handy.

Top 10 Best Big Data Analytics Tools

Let’s check out the top 10 best big data analytics tools for 2020:

1 – Apache Hadoop

Apache’s Hadoop ranks as the best big data analytics tools on our list for 2020. This software is modeled for clustered file systems and managing big data. It uses the MapReduce programming technique to process datasets in big data. Hadoop big data analytics tool is the open-source software designed in Java to provide cross-platform support successfully.

Best Big Data Analytics Tools - hadoop

Best Big Data Analytics Tools – hadoop

Pros:

  • Hadoop’s core strength is in its Hadoop Distributed File System (HDFS) which can hold various types of data, from videos and images to XML, JSON and plain text in the same file system.
  • Hadoop is extremely useful for research and development (R & D) uses.
  • It provides fast access to stored data.
  • It is highly flexible and scalable.
  • Hadoop is in high demand and works on a cluster of computers.

Price:

Hadoop is free to use under Apache License.

2 – Cloudera Distribution for Hadoop (CDH)

Cloudera Distribution for Hadoop (CDH) is designed to deploy enterprise-standard technology. It is completely open-source software with a free platform distribution that involves Apache Hadoop, Apache Impala and Apache Spark among others.

Using CDH, business organizations can compile, process, administer, manage, find, create and distribute data without restriction.

Pros:

  • Complete distribution facility
  • Hadoop cluster can be administered with Cloudera Manager
  • Easy to use
  • Lowered complicated administration
  • Higher governance and security

Price:

Cloudera Distribution for Hadoop (CDH) is completely free however if you wish to buy Hadoop cluster then its per-node cost is around US$ 1,000 to US$ 2,000 per terabyte.

3 – Cassandra

Cassandra, another product from Apache, is completely free and open-source. It is distributed with NoSQL DBMS made for managing large volumes of data from several different commodity servers to deliver high availability. Cassandra uses Cassandra Structure Language (CQL) to interact with the data.

Pros:

  • Non-singular failure point
  • Swiftly manages immense data volumes
  • Storage is log-structured
  • Replication is automated
  • Linear scalability available
  • Simple ring architecture

Price:

Cassandra is a completely free big data analytics tool.

4 – Knime

Short for Konstanz Information Miner, KNIME is another best open source and free big data analytics tools. It is extremely useful for enterprise reporting, integration, research, data mining, CRM, text mining, data analytics and business intelligence. It runs perfectly well on Windows, Linux and OS X operating systems.

Best Big Data Analytics Tools - Knime

Best Big Data Analytics Tools – Knime

Pros:

  • Easy ETL operations
  • Easy to integrate with other technologies and languages
  • High-end algorithm set
  • Easy to use with organized workflows
  • Extremely stable
  • Manual work gets automated
  • Easy to install

Price:

KNIME platform is completely free however if you wish to get extensions for the product to enhance its features, then it is chargeable accordingly.

5 – Datawrapper

Datawrapper is an excellent tool for data visualization and helps to generate simple, accurate and embeddable charts swiftly.

Pros:

  • Device-friendly for mobiles, desktops and tablets
  • Swift
  • Interactive
  • Needs no coding
  • Excellent customization and export options
  • Collects all charts in a single location

Price:

Datawrapper is completely free however it does come with paid options to customize it.

6 – MangoDB

MangoDB is a document-centric, NoSQL database written in C, C++ and javaScript. It is a completely free and open-source and works perfectly well with popular operating systems. It uses the popular and efficient BSON format, along with Indexing, Sharding, Replication, etc.

Pros:

  • Easy to learn
  • Supports different platforms and technologies
  • Reliable
  • Low cost
  • Easy to install and maintain

Price:

MangoDB is not free and its price is available on request.

7 – Lumify

Lumify is yet another one of the great open-source and completely free big data analytics tools in the market today. It is designed for big data fusion/integration, visualization and analytics.

Pros:

  • Secure
  • Scalable
  • The dedicated full-time development team
  • Supports cloud-centric environments

Price:

Lumify is completely free to use.

 

8 – HPCC

High-Performance Computing Cluster, known as HCCP for short, is one of the best open-source and free big data analytics tools. It offers a complete big data solution over a flexible supercomputing platform. It is also known as Data Analytics Supercomputer or DAS, for short.

Best Big Data Analytics Tools - HPCC

Best Big Data Analytics Tools – HPCC

Pros:

  • Based on commodity computing clusters for higher performance
  • Parallel data processing
  • Swift, strong and extremely flexible
  • An inexpensive and complete big data analytics solution

Price:

HPCC is completely free of charge.

Here is the HPCC Big Data Analytics Tool

9 – Apache Storm

Yet another excellent product from Apache, the Storm is a cross-platform, fault-tolerant, distributed-stream processing computing model. It is completely free and open-source. It is written in Java and Clojure.

Pros:

  • Scalable
  • Reliable
  • Guaranteed fast processing
  • Fault-tolerant
  • Multiple-use cases

Price:

The storm is completely free to use.

10 – SAMOA

The Apache SAMOA (Scalable Advanced Massive Online Analysis) is an open-source platform designed for machine learning and big data stream mining.

Pros:

  • Fast
  • Scalable
  • Simple and easy to use
  • Actual real-time streaming

Price:

SAMOA is completely free for use.

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Why Big Data Analysis is Important

Why Big Data Analysis is Important?

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Today, data has replaced gold as the most precious product in the world. From small businesses to huge IT corporations, every kind of business is using data analysis to ensure optimal revenue and efficient operations for their enterprise. Analysis of data is an excellent way to get a deeper insight into the current consumer trend. Businesses can use this analysis and insight to fine-tune their daily operations for increased efficiency. The details and information collected by businesses for analysis purposes are known as “big data” and it has become the buzzword in business circles today.

Big data analysis is extremely useful to bring efficiency and speed to business operations. Earlier, businesses tended to gather information about sales, revenue, customer feedback, etc and collated them into a conventional spreadsheet to check for current buying trends. Today, this process has become completely automated thanks to some of the best big data analytics services.

With the help of big data analysis, businesses can now work faster, stay agile and have a competitive edge over the competition.

How Big Data Analysis works?

By definition, big data is the term used to describe the large volume of data that a business collects in their day-to-day operations. However, the amount of data collected is not important. What matters is the way the business organization uses this data. This accumulated data can give in-depth insight that helps business owners and managers to make informed decisions and form efficient business strategies.

How Big Data Analysis works

How Big Data Analysis works

Big data analytics is considered to be a revolution in information technology. Every year businesses are finding new and useful ways for their collected data. Big data contains large variety, high velocity and huge volume. Hence, there is a need for sophisticated analytic techniques, such as data mining, machine learning, statistics and natural language processing to process big data. Big data can help perform numerous operations simultaneously on a single platform. It becomes easier to store terabytes of data, process it, analyze it and visualize the data using a few big data analysis tools.

The big data is first extracted, pre-processed and prepared before it is mixed to provide analysis for businesses. Larger businesses and multinational companies use this process frequently now.

With the help of big data analysis, companies are able to use their collected data with increased efficiency and also determine new and lucrative business opportunities. There are a variety of algorithms and techniques which can be applied to remove relevant and useful information from big data. This helps to devise effective business strategies for the future with smart business decisions, efficient operation and increased profits.

These are the three main reasons that show the importance of big data analysis:

1 – Reducing data storage cost

Big data techniques, such as cloud-based analytics, can help to cut down costs for storing large volumes of data and make better business decisions.

2 – Faster business decision-making

The immensely high speed of in-memory analytics coupled with analyzing new data sources helps businesses to analyze data faster and results in quicker decision-making.

Faster business decision-making

Faster business decision-making

3 – New services and products

As big data analysis helps to measure current customer needs, it is excellent to formulate the more relevant and in-demand services and products by businesses for optimal customer satisfaction and maximum consumer retention.

In addition, big data analysis is extremely flexible and has resulted in immense growth in numerous industries to date. Some of the industries which have benefited directly from big data analytics are:

  • Technology
  • Manufacturing
  • Banking
  • Consumer
  • Healthcare
  • Life Sciences
  • Retail
  • Government

The banking sector has been immensely benefited from the use of the latest big data analysis technology. It helps to perform multiple operations on transactional data. In addition, it has tools that help users to resolve their queries on their data and get results faster. Users can easily customize query tools for better solutions.

The educational sector has also benefited greatly from big data analysis. New options for research and analytics using data analysis have arisen. The insight provided by big data analysis has helped to understand the specific needs and requirements of consumers more successfully.

Bottom Line

Experts advise large and small business enterprises to adopt the latest big data analysis techniques and tools to ensure optimal marketing strategies and more effective sales operations.

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cloud cost management

Management Cloud Effective Tips

5 Effective Tips for Cloud Cost Management

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As cloud computing technology gets more advanced every day increasing numbers of small and large businesses are shifting their apps and websites to the cloud servers. Today, Amazon Web Services (AWS) is the leading provider of premium quality and reliable cloud storage and cloud computing services around the world. A management cloud from AWS offers incredible cloud computing power and efficient cloud storage space for your databases.

Normally, businesses tend to allocate a specified budget for AWS cloud computing and the way the cloud storage resources are to be utilized. Despite this, there are many businesses that feel the need for lowered operational costs. Our experts analyze and report the areas where management cloud can actually help to cut back on operational costs for cloud storage with AWS.

Realities of Cloud Cost Management

Too many businesses report being disappointed with the meager sum that they were able to save instead of the significant savings when they switched to cloud storage. According to IT experts, there are no guarantees that cloud computing will save money. Instead, business organizations should focus on guiding cloud cost goals back on the road with the help of advanced planning and by setting practical expectations with the end results.

Realities of Cloud Cost Management

Realities of Cloud Cost Management

5 Effective Tips for Management of Cloud Services

If you feel that your business is wasting money by not managing your cloud services in a better way then you can try these following effective tips to help manage your cloud resources more efficiently.

1 – Protect your applications

The cloud computing applications library is extremely dynamic and lets multiple users access updated software without the need to pay the additional cost for upgraded patching versions. One of the most beneficial aspects of AWS cloud computing and cloud storage is that it is extremely convenient and affordable too.

Management Cloud - protect your application

Management Cloud – protect your application

However, you need to know that majority of the cloud-powered apps are released with little testing. This means that there is a risk of application performance problems, security lapses and exposure to malware attacks which are extremely expensive to resolve. Hence, to ensure optimal security for your applications, it is highly recommended to regularly scan the apps for any risks.

2 – Supervise Cloud Computing Resources

To ensure that cloud computing resources are used optimally you need to put restrictions for reducing inefficient use of the resources. There should be effective communication between different business departments within an organization that highlights the guidelines and regulations to restrict unwanted use of cloud resources.

One of the best ways to supervise computing resource usage is to decrease the number of users authorized to access cloud controls and giving an employee the responsibility of managing cloud resources and enforcing the company’s cloud resource usage guidelines.

3 – Motivate to Collaborate

According to reports by big companies, the efficiency and productivity within a business organization increased with collaboration and employing cloud computing services. The efficiency was even greater than when employees were working in close proximity to each other.

A major reason for this drastic change in performance is that employees do get access to a centralized location for opening and editing files in real-time. However, with conventional technology, you need to first save the copy and then share the copy while making changes in the original file version.

4 – Simplify File Sharing

The advanced management cost technique at AWS extends the limit for sharing large-sized files. Normally, email servers restrict file sharing of over 25 MB size. However, there are no such restrictions with cloud storage servers. You can easily store large-sized files on cloud servers and accessed by those authorized to do so.

Management Cloud - Simplify File Sharing

Management Cloud – Simplify File Sharing

Training to rely more on cloud and less on email helps to enhance productivity and efficiency among your employees.

5 – Real-Time Updating

As mentioned earlier, there is no need to first save a file before sharing with teammates or with clients and vendors. Cloud servers allow every authorized team member to access the project files from a singular source.

This way, there is no chance of confusion about the latest project. Encouraging group projects in cloud storage ensures excellent collaboration and increased efficiency for employees and businesses alike.

Bottom Line

As your business grows and the requirement for advanced technology and more efficient operations arises, managed cloud services can help in the most cost-effective way.

cloud cost management open source tools

AWS cost reduction strategies

What are the Popular Open-Source Tools for Cloud Cost Management

3 Most Popular Cloud Cost Management Open Source Tools

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Cloud technology is much more than simply a cost center. Shifting to cloud servers makes it possible to enable innovation at a larger scale, ensure faster production and drives competition by the swift response to customers. Hence, increasing numbers of businesses are looking to convert their organization’s digital strategy quickly. This is where cloud cost management tools come handy.

Although it is highly beneficial to shift to cloud servers from on-site servers, some certain key factors and parameters need to be reviewed before making the move. Also, if you are already based on cloud servers then you may want to find ways to optimize cloud costs for your enterprise.

About Open Source Cloud Cost Management Tools

Open source cloud cost management tools are advanced software and tools that businesses can use to monitor and control their cloud computing services. Recently, increasing numbers of business organizations have started facing new challenges in visibility after shifting to cloud computing.

About Open Source Cloud Cost Management Tools

About Open Source Cloud Cost Management Tools

As more and more business organizations want increased integrity, usability and security, there is an increasing demand for cloud cost management tools. Open source cloud cost management tools are designed to help companies get more control over their cloud computing resources. A business can use cloud cost management solutions in private and public cloud computing services. There are large varieties of cloud cost management tools that help business organizations in the building, buying, managing, monitoring, tracking and ultimately optimizing their cloud resources.

With the help of these cloud cost management tools, businesses can now save on time and resources while ensuring that their IT departments can focus on the core business goals. These cost management apps are extremely useful to monitor the user interaction with the cloud storage and to manage their resources in the best possible manner.

Some of the major features of the top cloud cost management tools include:

  • Unified management across different clouds
  • Easy to integrate with 3rd-party monitoring and configuration tools
  • Dashboards and reports with detailed information about the consumption of cloud resources
  • Alerts and notifications when pre-set limits of resource use are reached
  • Controlled access to resources for prevention of over-use or non-authorized access
  • Simplifying management of cloud environments
  • Decreasing complexity and cost of managing numerous activities
  • Speed
  • Flexibility
  • Security
  • Cost efficiency

Advantages of Open Source Cloud Cost Management Tools

It is obvious for the question to arise, “Which is the best cloud cost management tool for me?”

Advantages of Open Source Cloud Cost Management Tools

Advantages of Open Source Cloud Cost Management Tools

Actually, an open-source cloud cost management tool is highly advised by experts. As open-source technology has become the center of cloud computing services, administrators have started preferring these to commercial cloud cost management apps. The open-source apps are extremely useful as they ensure detailed system analysis and complete network security. Keep in mind the specific requirements of your business organization for choosing the best-suited cloud cost management tool in open source technology.

The global cloud cost management tools market is growing remarkably every year. The reasons for the growth are the need of business enterprises to have better control over their IT expenditure, as well as the increase in the adoption of multi-modal IT service delivery environments and the swift deployment of virtual workloads.

List of Popular Open Source Tools for Cloud Cost Management for 2020

Check out the list of the most popular and reliable open-source cloud cost management tools:

List of Popular Open Source Tools for Cloud Cost Management for 2020

List of Popular Open Source Tools for Cloud Cost Management for 2020

1. Apache CloudStack

The Apache CloudStack is an open-source, multi-tenant, multi-hypervisor, highly-available IaaS (Infrastructure as a Service). It is designed for creating, deploying and managing cloud-based services using a complete set of advanced features and components for cloud-based servers.

Apache CloudStack uses existing hypervisors, such as VMware, KVM, VMWare vCenter, VMware cSphere and XenServer/XCP for virtualization. It can also conduct non-technical aspects of cloud-based services, such as metering and billing.

2. OpenStack

The OpenStack cloud cost management tool includes software tools that help in creating and managing cloud computing services, using pooled virtual resources. It contains ‘projects’ which are tools made in the OpenStack platform which help to manage core cloud services, such as computing, storage, networking, identity and images.

OpenStack tools can help to control large batches of computing, storage and networking using resources from the data center and are managed with OpenStack API or a dashboard.

3. ManageIQ

The ManageIQ is another top open-source cloud cost management tool. It offers help with managing small and large virtual environments and also supports advanced technologies, such as public clouds, virtual machines and containers.

With ManageIQ users can download any virtual appliance and deploy copies of the virtual appliance into virtualization platforms like VMware or OpenStack.

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cloud cost management open source vs proprietary tools

AWS cost reduction strategies

Everything to Know About AWS Cost Management

What is AWS Cost Management Solutions?

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Cloud computing and storage is an immensely beneficial service today. Thanks to cloud-based technology now it has become easier to organize your expenses. Normally, you need to pay a set amount of money for renting server space however with AWS you only need to pay for the specific services you use. This is how AWS cost management works.

As AWS provides immense scalability, the varying expenses get decreased too. For those who started out with cloud technology, and for those who are looking for migration to cloud servers, AWS cost management solutions are the best for decreasing your expenses.

Features of AWS Cost Management Solutions

At a time when businesses are experiencing unprecedented disruption to their regular operations, revenue and budget AWS cost management solutions help to optimize spending. These solutions include specialized services, resources and tools that help to organize and track usage data and cost, increased control on spending with combined billing and access permits, better strategies with forecasts and budget as well as lowering cost for resources through optimizing pricing.

Advantages of AWS Cost Management Solutions

Let’s check out the main benefits and advantages of using AWS cost management solutions:

1. Customized Methods to Organize and Report Usage and Cost

A comprehensive, real-time report on usage information and expenses can help business owners and managers to make firm and fruitful decisions. With the organization tools from AWS you can now easily procure resources as per your needs, analyze and visualize cost and usage data on a single plane and accurately charge the appropriate vendors.

Customized Methods to Organize and Report Usage and Cost

Customized Methods to Organize and Report Usage and Cost

Instead of monitoring the cost centrally, the AWS cost management solutions provides specified costing to various departments, such as application, engineering and business for optimal accountability. This detailed cost data is essential for teams to get the desired details and visibility of their individual expenses.

2. Built-In Control for Billing

Billing information is most useful when it is in its simplest form. The AWS cost management unit provides extensive billing information, such as spending summary, breakdown of individual service costs by different accounts within the organization as well as any discount or credit offered to vendors or clients.

You can also choose to consolidate your bills so that the advantages of higher volume discounts can be rightly received. Business managers and owners also need to establish spending guidelines to maintain control over security, organization and cost. Business organizations get extensive control over granular user permission with the AWS cost management solution.

3. Better Planning and Precise Predictions in Budgeting

The cost of cloud computing for your applications, projects, etc needs to be planned properly. With the advent of cloud technology businesses and organizations have been able to acquire and replace conventional computing resources without having to rely on teams for approval, procurement and to install infrastructure.

Better Planning and Precise Predictions in Budgeting

Better Planning and Precise Predictions in Budgeting

However, business organizations need to adopt new budgeting procedures and more versatile predicting techniques to achieve this flexibility. Amazon Web Services gives forecasts according to your usage history and cost so that you can easily set budget limits. You can even set alerts in case you want to be notified when your usage exceeds the cost limits. In addition, you can also set limits for usage or coverage for your Reserved Instances and Savings Plans and supervise the progress to the goal.

4. Excellent Resource and Pricing Suggestions to Optimize Costs

Customers of AWS can get control of their cost and constantly optimize their spending. There are various AWS pricing models and tools that can help to meet requirements of cost efficiency and performance and can also be adjusted as needed.

When appraising your commercial needs customers get the flexibility of choice from several elements, including operating systems, availability zones, instance types and purchase options. The brand also offers resource optimization solutions that help to simplify the appraisal process so the most cost-efficient resource can be selected at all times. In addition, users can choose from various pricing models that are designed according to usage habits which can drive down the cost without affecting performance in any way.

Bottom Line

In conclusion, AWS cost management tools help to organize your cost allocation and governance foundation with a customized tagging tactic. It raises awareness and accountability reports of the expenses of your cloud computing usage with details of allocated data cost. AWS cost management is a truly effective way of cost-cutting without compromising your workload performance.

cloud cost management

AWS cost reduction strategies