LATEST BLOG ON CATEGORY "BIG DATA"

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 run.

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:

YARN’s Resource Management

The most key component of YARN is the Resource Manager, which governs and maintains all the data processing resources in the Hadoop cluster. In other words, the Resource Manager is a dedicated scheduler who has a task to assigns resources to requesti

Data Replication in Hadoop: Slave node disk failures (Part -2)

Hadoop was originally designed with an intention to store petabyte data at the scale, with any Potential limitations to scaling out are minimized.

Writing and Reading Data from HDFS

For creating new files in HDFS, a set of process would have to take place (refer to adjoining figure to see the components involved

HDFS Federation and High availability

Before Hadoop 2 comes to the picture, Hadoop clusters were living with the fact that Name Node has placed limits on the degree to which they could scale.

Storing Data in HDFS

Just to be clear, storing data in HDFS is not entirely the same as saving files on your personal computer. In fact, quite a number of differences exist — most having to do with optimizations that make HDFS able to scale out easily across thousands of slave nodes and perform well with batch workloads.

Hadoop Distributions: Cloudera

We have seen that the Hadoop ecosystem has several component parts, all of which exist as their own Apache projects. Since Hadoop has become extremely popular and widely used, it also going through few significant further changes, various versions of these open source community components may not be fully compatible with the rest of the components.

Pros and Cons of Hadoop System

As with any tool, it's important to understand when Hadoop is a good fit for the problem in question.

Hadoop 

Graph Analysis with Hadoop

We all are already familiar with log data, relational data, text data, and binary data, but we will soon hear about another form of information: graph data.

Image Classification with Hadoop

Image classification starts with the notion that we build a training set and that computers are equipped to recognize and categorize what they’re processing at. In the context, that having greater data helps generate better fraud detection and risk-predictive models, the same way it also helps system to better classify images.

Social Sentiment Analysis with Hadoop

Social sentiment analysis is simply the most overrated of the Hadoop applications, which should be no surprise, given that we breathe in a world with a constantly connected and expressive population.

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