LATEST BLOG ON CATEGORY "BIG DATA"

Data Science Analytics Certification for Data Governance

Data governance becomes very important in such scenarios. What’s data governance? It’s the complete administration of usability, integrity, availability, and data security in an organization.

How Big Can Big Data Get?

At the most significant point of its history, the Ancient Library of Alexandria may have held 500,000 papyrus scrolls, thereby making it a collection of information on par with the data that makes up today's "visible web."

Some Ways of Using Big Data in the Business Marketing Process

Big data is more than a buzzword today. It has great amounts of data that could well change all facets of life, from boosting healthcare outcomes to help manage traffic levels in metro areas.

The reason: Why Individuals and corporations worry About Big Data

For the past several years, headlines have heralded the IoT as a game changer that will transform workplaces, optimize cities, and help individuals lead more efficient, healthier lives.

How Zero Knowledge Proof Will Enable Trustless Transactions and Increase our Privacy

While the challenges facing the future viability of Bitcoin and other cryptocurrencies remain unresolved, the underpinning technology that supports Bitcoin,

10 of the Best Big Data Analytics Tools: How to Derive Meaningful Insights

Data has the power of skyrocket your business to new heights. A deep analysis of data is a powerful tool to convert information into knowledge. In fact,

Your Guide to Managing and Implementing Big Data Platforms

Big data today is the fuel and driving force of any business' growth. A company's ability to hit the right solutions at the right time may only be possible with the help of big data platforms.

Big Data Can Help Us Evolve to the Internet of People

Right now the biggest craze in tech is from big data and its role in helping the Internet of Things (IoT). However, many have said with more smart devices is consumerism on steroids.

Why Entrepreneurs Need To Start Managing Data Now

Data is the foundation for every move you make. It drives your decisions and the way you interact with customers during the sales process.

Is Your Payment Data Secure? Not Much Secure It Seems!

Mobile payments are on the rise. Both Samsung and Apple have introduced their own payment systems already in recent times and many new startups are entering the market as well, with of course Square being on top of the list.

How To Turn Your Organization Into Making Data-Driven Decisions

Most organizations are now realizing the power of data and analytics. In the past decade, a few pioneering organizations have demonstrated how making strategic decisions based on data-derived facts can push businesses and innovation forward.

5 Limiting Factors for Data-driven Businesses

Many companies today claim they are data driven just because they have a central system that stores all their data. Unfortunately, they are not.

What Is the Future of Data Warehousing?

No one can deny it that today, we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesses will succeed and grow, and which ones will fail.

3 Pillars of the Data Economy

Our industry continues to see an ongoing upsurge in data volumes. This comes with the insatiable need by industry-leading companies to exploit existing data to foster business development and growth.

Analytics Bots: What Are They and How Do They Work?

In media, the word “bot” tends to bring to mind a twitter account run by a computer program that spits out mostly nonsensical tweets at other users. Generating basic language may not seem like a big deal,...

How You Can Use Data to Improve the Customer Experience

When you want to improve user experience with your product, or when you want to improve customer experience with your service, how do you go about doing it?

Three Ways AI Will Change IT Operations and Data Center Management

Artificial Intelligence, and machine learning in particular, is predicted to have an enormous impact on many industries over the next few years, not least the industry that builds and manages the infrastructure on which machine learning algorithms...

What is the Impact of Big Data on Mobile Marketing?

Every business in one way or the other has access to data corresponding to their customers, competition, and market. Naturally, to stand out from other businesses and to ensure competitive advantage they need insights from other areas.

Big Data In Banking: Advantages and Challenges

Because of the confidential nature of data in banking services, most of the financial institutions have been slow in adapting to big data even though they do realize that there are huge benefits in terms of customer centricity.

Big Data Analytics

Big data analytics is the process of inspecting large and different data sets i.e., big data – to discover hidden patterns, market trends, unknown correlations, customer preferences and other useful information that can help organizations.

HBase Architecture: Introduction and RegionServers(Part-1)

The reason that folks such as chief financial officers are excited by the thought of using Hadoop is that it lets us store massive amounts of data across a cluster of low cost commodity servers — that’s music to the ears of financially minded people.

Big Data: HBase as Distributed, Persistent, Multidimensional Sorted Map

Now we are very well familiar with the power packed characteristics and nature of Hbase.

Big Data: ACID versus BASE Data Stores

I think back in our school days, almost all of us have studied about difference between “ACID” and “BASE” in chemistry.

Clustering and Classification with Mahout

Unlike the supervised learning method described earlier for Mahout’s recommendation engine feature, clustering is a kind of unsupervised learning — where the data labels points are not known ahead of time and should be inferred from the data without

MapReduce Driver Class:

Although the mapper and reducer implementations are all we need to perform the MapReduce job, there is one more piece of code necessary in MapReduce:

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