Do I need Big Data? And if so, how much? Many companies follow the hype of big data without understanding the implications of the technology. Read the full article and you will understand.
I call myself a “Big Data Expert”. I have tamed many animals in the ever growing Hadoop zoo like HBase, Hive, Oozie, Spark, Kafka, etc… I helped companies to build and structure their Data Lake using appropriate subsets of these technologies. I like to wrangle with data from multiple sources to generate new insights (or to confirm old insights with evidence). I love to build Machine Learning models for predictive applications. So, yes, I would say that I am well experienced with many facets of what people would call “Big Data”.
But at the same time, I became more and more skeptical of blindingly following the promises and the hype without understanding all the consequences and without evaluating the alternatives.
It provides huge storage for any form of facts, enormous processing power and the capacity to deal with without a doubt countless concurrent duties or jobs.
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We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought