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Month: June 2018
The last two weeks have been really exciting to be part of Big Data and Analytics at IBM. We have just launched IBM Cloud Private for Data, an integrated data science, data engineering and app building platform. Our broader offering, IBM Cloud Private is helping our clients and partners to harness everything cloud has to … Continue reading 3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey
With the entire on-going buzz around Hadoop, you might ask, “What is Hadoop and what does it need to do with cloud?” Before I answer this, we ought to talk about huge information. Investigation gives a way to deal with basic leadership through the use of measurements, programming and research to recognize designs and evaluate … Continue reading Relation Between Big Data Hadoop and Cloud Computing
Interest in Hadoop continues to increase as business recognize the benefits it brings to their organizations and their big data analytics practices. Recent numbers bear this out as well. According to a recent survey from TDWI, overall Hadoop adoption by enterprises is on the rise, with 60 percent of respondents planning on having Hadoop clusters … Continue reading 6 Essential Steps to Successfully Implement Hadoop
Big Data has taken the technology world by storm! In Layman’s terms, big data can be defined as any set of structured or unstructured data that is too big for regular database tools to handle and process. With huge chunks of data being generated regularly from various digital sources, it is essential for companies to … Continue reading 3 Real Time Big Data Applications
Data management including capturing , storing and analyzing data was very expensive and complicated prior to its management by Hadoop. With the entry of Hadoop in the industry, data management became to handy as well as less expensive. Hadoop’s processing part that is the MapReduce makes it possible for doing the entire data management process … Continue reading Why is Hadoop the Best Platform for Data Management?
Hadoop greatly helps in storing and processing large data sets in a distributed computing environment. Today, the framework is largely adopted in IT solutions and hence the need for Hadoop experts who are trained in the field. Given below are some of the reasons why Hadoop training has become important. Importance of Hadoop training Hadoop … Continue reading 13 Reasons Why System/Data Administrators should do Hadoop Training
Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the separate operational issue of islands of big data storage. Here are some tips on how … Continue reading Top 10 Tips for Scaling Hadoop
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