Learn basics of Big Data
Big Data is an umbrella term that covers all the strategies, technologies and methodologies to gather, process large datasets. LiveEdu.tv is a great place to start learning or improve your big data skills with a section dedicated to big data tutorials and resources. Here you can watch how big data works. You can also search for any big data topic in our video library. Join this amazing big data community and improve your career prospects.
Big Data Introduction
Big Data is an umbrella term that covers all the strategies, technologies and methodologies to gather, process large datasets. Big data is widely used by almost every big company. Since the internet is growing at a rapid pace, big companies are capturing tons of data on a daily basis. Different methodologies and algorithms are used to make sense out of the data.
There are a lot of challenges when it comes to handling big data. Big data is all about large datasets and usage of technologies and computing strategies that work well for the large datasets. In the end, it is used to find a connection in the pool of complex data with the help of conventional methods.
History of Big Data
The history of big data dates back to the 7000 years ago. The major usage of big data occurred in the year of 1937 when Franklin D.Roosevelt’s administration in the USA worked on a project which launched the U.S. government on its most ambitious data-gathering project ever. The Social Security Act enabled the government to gather the records of 3 million employers and 26 million Americans. To make everything work properly, the contract was awarded to IBM. IBM went forward and developed the punch-card machine.
Other key instances of history where BigData was a major part of the World War II. The first data-processing machine appears during the time which was used to break Nazi code. The device was named Colossus.
Fast forward to the 21st century, the term “Big Data” was first coined by Roger Mougalas. He also coined the term, “Web 2.0”. Yahoo known as Hadoop develops the first technology that revolutionized how Big Data is managed. It utilized the popular Google’s MapReduce. These two technologies enabled easy World Wide Web indexing and managed to crunch huge amount of data.
Big Data Tools
To work effectively, you need the right tools. There are plenty of Big Data tools available that you can use. To make your journey easier, we will list the best five Big Data tools.
- Jaspersoft BI Suite Jaspersoft BI Suite is one of the finest open source packages in the industry right now. Its suite can help you produce meaningful reports from data and help the business stay at the top of their game by enabling SQL tables to friendly PDF, ready for meetings.
- Pentaho Business Analytics Pentaho Business Analytics helps business work more efficiently with their Big Data. The package evolves from the Jaspersoft BI suite and works great with different databases such as Cassandra and MongoDB. Pentaho also works with Hadoop clusters.
- Karmasphere Studio and Analyst If you are looking for an IDE that can help you run Hadoop jobs, then this is what you need. Karmasphere not only helps you to configure a Hadoop job but also provides good debugging tools. It also comes with Analyst part which offers unique data processing capabilities with Hadoop clusters.
- Talend Open Studio Talend is also an Eclipse-based IDE that lets you work with Hadoop. You can also do other operations such as data management, data quality and data integration.
- Skytree Server A tool which will not help you generate reports but also help you work with machine learning algorithms. You can work with the server using the command line, and that can take some practice.
Education Ecosystem Big Data Project Creators
If you are wondering where to get started to learn Big Data, then you should visit Big Data section on Education Ecosystem to watch Big Data streamers. Let’s list top 5 data visualization streamers on Education Ecosystem.
Big Data Best Books
There are plenty of Big Data books online. The best way to start learning Big Data is to invest in the books. So, why the wait? Let’s go through the best books for learning Big Data. These books are categorized into Beginner, Intermediate and Advanced. So pick the book that best suits you.
Big Data For Beginners: Understanding SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More!
Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More? If So this book is for you regardless Of How Little Experience You May Have!
We've had a drastic growth in volume of information in recent years, So it could be a challenge or in an another view an opportunity for big companies and high turnover corporations. Although we've had different types of databases and also frameworks for analyzing data, this amount of data could make a indissoluble problem for those traditional systems. This book will show you a new way for analyzing these amount of data.
by Ronald Davis
This book covers from understanding the best hours for your business to keep, to managing payroll, big data and data analytics can vastly improve the efficiency of any business. This concept has been well known to the world’s largest businesses, but for years has been gated behind the cost of expensive software solutions. Today there are more software solutions for small and medium size businesses than ever before. Whether you want to solve for optimization problems to better understand your business and customer base, or if you merely want to automate ordering items and paying your employees, big data and data analytics is the solution that you need. Continue reading and soon you will have the knowledge to secure your business for long into the future.
Big Data is the first major book about this earthshaking subject, with two leading experts explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.
“An optimistic and practical look at the Big Data revolution — just the thing to get your head around the big changes already underway and the bigger changes to come.”
— Cory Doctorow
This methodology describes big data analytics applications as realization of the proposed Alpha, Beta, Gamma and Delta models, that comprise tools and frameworks for collecting and ingesting data from various sources into the big data analytics infrastructure, distributed filesystems and non-relational (NoSQL) databases for data storage, and processing frameworks for batch and real-time analytics.
by Scott Murray
Build maintainable and performant user interfaces for your web applications using React.js. Create reusable React.js components to save time and effort in maintaining your user interfaces. Learn how to build a ready-to-deploy React.js web application, following our step-by-step tutorial
by Phil Simon
Too Big to Ignore: The Business Case for Big Data is geared towards CIOs, CEOs, presidents, and IT professionals. At a high level, the book makes a compelling business case for that which we are calling Big Data. Simon provides commonsense advice for organizations looking to make sense out of the information streaming at us with unprecedented volume, velocity, and variety.
Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications (Wiley and SAS Business Series)
by Bart Baesens
The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic.
Big Data Projects
The best way to learn is to evolve yourself with Projects. Let’s take a look at some of the best Big Data projects you can follow. You can also find Big Data projects on Education Ecosystem. If you are interested, check the Education Ecosystem Big Data streamers section for more information.
The impact of Big Data on medicine and health has always been there. And, now it is being used in a project sponsored by Google to ensure the wellbeing of malaria-affected regions such as Africa.Explore this project!
Happiness can be directly correlatable with the language, and this is what the project is all about. The project uses Big Data to find out which world languages contains more positive words than negative.Explore this project!
Big Data Community
There is a big community for Big Data. Not only will you find multiple websites that can help you meet up with like-minded people, but also offline meetups that can help you grow in Big Data.
- Big Data Community Group W3C Big data community group is where you can find emerging ideas. They also focus on developing new methodologies, tools and much more.
- Big Data Community - Oracle Oracle is also heavily invested in Big Data growth. They have their own discussion forums, blog, and newsletter that you can follow.
- Education Ecosystem Here you can find all the awesome streamers who love to share their knowledge about BigData.
Big Data Gurus
Nate Silver is one of the profound Big Data specialists. He is the Editor in Chief of the famous publication FiveThirtyEight. His work includes predicting elections, sports, economics and everything that works in tandem with data.
Simon Porter is a sales executive with experience working on sales. He has experience working with big companies such as IBM. He has also contributed to many small to medium scale companies. Until now, he has worked for more than 15,000 business partners over diverse areas including business analytics, cloud, etc.
Vala Afshar is the Chief Digital Evangelist at Salesforce. He is also a writer and regularly contributes to Huffington Post and Inc. Magazine. He also does weekly video show with cxotalk.com.
Kirk Borne is a unique Big Data entity. His works revolve around the data science and astronomy. Currently, he is now working as the principal data scientist at Booz Allen Hamilton. He also work as a technology consultant and helps big companies to use his knowledge to success.
Timothy Hughes works for Oracle as the UK Business Development Director. He uses his knowledge to help Oracle create a pipeline that creates millions of dollars using his savvy marketing techniques.
Big Data Conferences
Since Big Data is a trending topic in the market, there are many conferences out there for you to attend. Let’s list some of the best data visualization conferences out there.