If you are an individual who is seeking to harness the best aspects of project managing, you are definitely going to want to consider Big Data certification programs. The International Institute of Executive Careers credits U.S.-based Big Data programs. By using these methods, you can earn Big Data on your own and online! You can do so at Courses10.com
- 1 Big Data Certificate Program
- 1.1 Big Data Careers
- 1.2 What is Big Data?
- 1.3 How Does Big Data Work?
- 1.4 Why Does It Matter?
- 1.5 The Big Data Challenge
- 1.6 Big Data Use Cases
- 1.7 How Big Data Can Help Business?
- 1.8 How to store and oversee it?
- 1.9 How to analyze it?
- 1.10 How to Use the Data You Uncover?
- 1.11 The Future of Big Data
Big Data Certificate Program
The US-based International Institute of Executive Careers (IIEC) offers three accredited Big Data Certification programs. Offered 100% online, the courses can be taken at your own pace. Visit Courses10.com to learn more.
Also, we offer a Big Data FREE, online course. Go to Courses10.com or use the registration form available in this article.
IIEC Certified Big Data Professional
The Certified Big Data Professional allows you to demonstrate your professional knowledge as a data professional. Thousands have already earned this professional certification.
IIEC Certified Big Data Expert
For professionals who want to stand out from the crowd, The Certified Big Data Expert allows adding an additional level of expertise and recognition in their career.
IIEC Certified Big Data Trainer
Designed for those who want to utilize their expertise to contribute to the professional development of others, the Certified Big Data Trainer is the highest level of expertise.
Big Data Careers
Cyber threats keep continue to develop, but an estimated 1 million cyber security jobs go unfilled. IT experts and other digital professionals are needed to fill these security roles, such as:
Chief Big Data Officer (CBDO) – oversees the security program and manages the IT security office’s operations
Specialist, Big Data – protects the organization from dangers with an emphasis on quality control inside the IT infrastructure
Architect, Big Data – in charge of arranging, breaking down, outlining, testing, and supporting the basic framework
Analyst, Big Data – incorporates arranging safety efforts and controls, ensuring advanced records, and leading both inside and outside security audits
What is Big Data?
Big Data means the very large of amount of data – both organized and unstructured -captured by a business. Also, it’s often critical for that business.
When it comes to Big Data, these days there’s a lot of information. Delivered at unprecedented rates, 90% of the information on the planet today was made in the last two years!
And, while the term Big Data is relatively new, the concept of storing a lot of data isn’t. The idea gained popularity in the mid-2000’s when industry expert Doug Laney defined the now-standard meaning of Big Data as the 3 Vs. Later, those 3 Vs were extended to 6 Vs:
Velocity means the speed of data generation and frequency of delivery. Large amounts of data are continuously generated which is beneficial to businesses when making decisions. Generated in real time, geolocation and customer data can be classified as structured or unstructured.
Also, to get the best result process data quickly.
Volume refers to the amount of data generated through online sources and the ability to consume, analyze and store data. Conventional database technology can no longer be used to store data.
For example, Facebook generates 10 billion messages, 4.5 billion “likes” and more than 350 million new pictures each day.
Value refers to what you get from your data and you use it. Unless stored data can be used and transformed it has no value.
Also, you should understand the cost and advantages of collecting and analyzing data to increase profit.
The different sources and types of data collected, either structured or unstructured, refers to variety. But most data today, about 80% can be classified as unstructured and includes photographs, emails, videos and more.
Also, Big Data innovations allow both types of data to be gathered, stored and used at the same time.
Differing speeds and conditions affect data streams. Variations can be expected, but information should be accessible in varying conditions. These variations create challenges especially when working with unstructured data.
Veracity means the quality or dependability of data. Only cleansed data can be stored and used.
For example, consider all the Twitter posts with hash labels and grammatical mistakes. That type of content lacks quality and therefore isn’t useful.
How Does Big Data Work?
The more you know about Big Data, the more you can use it to make decisions in the future. It often uncovers information that wasn’t seen before.
Mostly, analyzing data happens through building models, looking at the information and then checking to see how it impacts outcomes.
Until recently, information was restricted to spreadsheets or databases. And it was perfect.
But new technology allows businesses to store and work with many types of information – such as photographs, recordings, composed content and sensor data.
Why Does It Matter?
It’s not how much data you have, but what you do with it.
- Determine underlying drivers of disappointments, issues and imperfections in real time.
- Generate coupons that produce an offer based on the client’s purchasing habits.
- Recalculate whole hazard portfolios in minutes.
- Detect fake conduct before it influences your organization.
Big Data influences almost all industries and associations and they can profit from this information.
The Big Data Challenge
The amount of data generated and stored worldwide continues to increase. This means that there’s a lot more potential to gather key information from business data. Yet, only a small amount of information is often used.
What does that mean for organizations and how might they improve the use of the data they see daily?
Consider addressing these challenges:
- Data protection – The Big Data currently produced contains a lot of information about our own lives – much of which we want to keep private. We need to be careful not to revel too much private information by controlling applications used to analyze Big Data.
- Data security – Maintain trust by keeping information safe.
- Data separation – With all this information, will we be able to control who sees what we want them to see? For example, we now use credit scoring to give loans. Companies need to see the information they need and also protect it.
Check out this video which explains the importance of Big Data.
Big Data Use Cases
The constant stream of sensor data including photos, content, voice and video information, allows us to use data in ways that weren’t possible even a couple of years ago.
Organizations in almost every industry can now predict clients’ need to purchase and when. What’s more, Big Data helps organizations run their tasks more efficiently.
Some of the ways Big Data has changed our world:
- Improving healthcare – Information-driven medication includes breaking down large quantities of records to help spot ailments early and grow new medicines.
- Predicting and reacting to regular and man-made errors – Analyzing sensor information to predict where seismic tremors might occur and how relief organizations can provide resources to survivors.
- Preventing crime – Police receive information to help them convey assets more easily while lowering crime.
Banks should find new and inventive approaches to oversee Big Data. While it’s critical to acquire new clients and keep them satisfied, it’s also important to protect client data and maintain consistency.
Big Data brings many pieces of information. Also, financial organizations need to remain step ahead with cutting-edge analytics.
Educators who are data-driven can have a positive effect on educational systems. By using Big Data, they can uncover danger understudies, ensure understudies are gaining sufficient ground and can use a superior framework for assessment and support of educators and principals.
When government organizations use Big Data effectively, they increase efficiency in utility usage, running offices, managing activity or preventing unwanted activity.
Patient records, treatment options, and medical data all require quick and accurate maintenance, often under strict industry standards. When overseen correctly, medical services suppliers uncover new data which allows them to increase their level of care.
Manufacturers can increase quality and yield while limiting waste by using Big Data – helping them compete in an aggressive market.
Customer relationship building is crucial to retail businesses. Big Data helps retailers know the best way to market to clients, how to deal with exchanges and the best approach to recoup lost business.
How Big Data Can Help Business?
Data can help your business, but you should know where it comes from first. The top three categories are:
Generated from many web sources, this data requires being broken down. Also, when this information arrives, you need to decide what to keep, what to delete and what needs advance analysis.
Social Media Data
This data can be unstructured or semi-structured and can be challenging to use and analyze.
Publicly Accessible Sources
Open sources generate large amounts of data and are accessible from the U.S. government’s data.gov, the CIA World Factbook and the European Association Open Information Portal.
Next, you’ll need to make a decision on what to do with all the data collected. These include:
How to store and oversee it?
Although stockpiling used to be an issue, there are now easy ways for storing information.
How to analyze it?
Some organizations don’t hide any information from their examinations, which makes sense with current advances. For example, using lattice figuring or in-memory investigation.
Also, another approach is to decide which information is important before breaking down it.
How to Use the Data You Uncover?
Data helps make business decisions easier by telling you what you need to know. Look at the following ways to make Big Data work for you:
- Large, cheap storage
- Faster processors
- Affordable, open-source, Big Data platforms like Hadoop
- Cloud figuring and other adaptable asset assignment arrangements
The Future of Big Data
Data has already changed our reality at a phenomenal rate – so think of what it will do tomorrow. We’ll continue to be able to access more information and advance how we use it.
Efficiently using this technology will become easier for businesses. Companies that see information as a key resource will thrive. Those that fail to adapt will get left behind.
When analyzed and used correctly, data can be a powerful tool in making strategic business decisions. It can help you gain new insights about your organization and help you predict what the future might bring.
Also, businesses should gather more data to get more insight.