Contributor: Nitin Bandugula

MapR Converge Blog author, Nitin Bandugula

Nitin Bandugula, Sr. Product Manager at MapR is responsible for strategy and go-to-market for MapR Worldwide Services covering Professional Services, Education and Support Services. Nitin leverages his experience in Engineering, Management Consulting and Marketing to bring new big data services and solutions to the Hadoop market. Nitin has a master's degree in Computer Science and holds an MBA from the Johnson School at Cornell University.

Blog Posts by Nitin Bandugula

October 13, 2015 | By Nitin Bandugula

How to Deploy Hadoop with Apache Spark in Production - Webinar Q&A

The recent Attunity and MapR webinar ”Give your Enterprise a Spark: How to Deploy Hadoop with Spark in Production” proved to be highly interactive and engaging. As promised, we have provided answers to questions that we were not able to get to during...

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August 11, 2015 | By Nitin Bandugula

Game-Changing Real-time Use Cases with Apache Spark on Hadoop

Apache Spark on Hadoop is great for processing large amounts of data quickly. The story gets even better when you get into the realm of real time applications. If your business depends on making decisions quickly, you should definitely consider the MapR...

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June 23, 2015 | By Nitin Bandugula

The 5-Minute Guide to Understanding the Significance of Apache Spark

In this blog, I’d like to talk about the differences between Apache Spark and MapReduce, why it’s easier to develop on Spark, and the top five use cases. So what is Spark? Spark is another execution framework. Like MapReduce, it works with the filesystem...

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June 05, 2015 | By Nitin Bandugula

Rapid Application Development with Apache Spark

You already know Hadoop as one of the best, cost-effective platforms for deploying large-scale big data applications. But Hadoop is even more powerful when combined with execution capabilities provided by Apache Spark. Although Spark can be used with...

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May 26, 2015 | By Nitin Bandugula

Apache Drill 301: Discover Schema on the Fly

This is the third and final entry in our three-part series focused on building basic skill sets for use in data analysis. The series is aimed at those who have some familiarity with using SQL to query data but limited or no experience with Apache Drill...

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May 18, 2015 | By Nitin Bandugula

Apache Drill 202: Taking Basic Data Analysis Further

This is the second in our three-part series focused on building basic skill sets for use in data analysis. The material is intended for those who have no prior, or very limited, experience with Apache Drill, but do have some familiarity with running SQL...

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May 07, 2015 | By Nitin Bandugula

Apache Drill 101: Data Analysis for (Almost) Everyone

Big Data analysis is intimidating to some people. They assume you need a background in statistics, deep technical knowledge, and other complex skills. But you don’t need to be a data scientist to extract insights and value from Big Data with Hadoop and...

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April 17, 2015 | By Nitin Bandugula

4 Critical Things to Consider When Building a Hadoop RFP

So you’ve researched the general capabilities of Hadoop, and have worked with your colleagues to identify the first set of big data use cases to tackle. Now, you’re ready to take the plunge and select the right Hadoop solution to invest in. After thoroughly...

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March 31, 2015 | By Nitin Bandugula

Apache Drill: Introduction, Differentiation and Use Cases – Webinar Q & A Follow Up

We recently wrapped up a webinar series, covering global audience, on the topic of “Apache Drill: Introduction, Differentiation and Use Cases” that proved to be highly interactive and engaging.The webinar provided a quick introduction to Drill, covered...

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February 13, 2015 | By Nitin Bandugula

Insights from Apache Drill Beta Part 2: Tech User Feedback and Feature Requests

This is part two of the MapR - Apache Drill beta blog. You can read part one of the series here that talks about the different use cases we uncovered during the Drill Beta program at MapR. This blog delves into the Drill features that our beta customers...

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January 28, 2015 | By Nitin Bandugula

Insights from Apache Drill Beta – Part 1: Initial Drill Use Cases

This is a two-part series that covers what we have learned so far in our ongoing Apache Drill beta program at MapR. Part one covers the use cases we are uncovering from our beta customer usage and interactions, and the second part will cover the new product...

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December 16, 2014 | By Nitin Bandugula

A Look Back at Spark as an Open Standard

This blog post was jointly written by Cloudera (Alex Gutow), Intel (Weihua Jiang), and MapR (Nitin Bandugula) – all companies that are part of the Hive-on-Spark Team. As one of the most popular tools in the Apache Hadoop ecosystem, there’s been a lot...

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December 12, 2014 | By Nitin Bandugula

Apache Storm Now Part of the MapR Distribution including Hadoop

So, we did it again! Another rapidly growing open source project is now formally supported and packaged in the MapR Distribution including Apache Hadoop. This time the project is Apache Storm. I must say, the Storm project is special, given that we were...

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December 01, 2014 | By Nitin Bandugula

Latest Open Source Updates Include Impala, Spark, Pig and Hive

The November release of the Apache open source packages in MapR was made available for customers earlier this month. We are excited to deliver some major upgrades to existing packages. Here are the highlights: Impala has been upgraded to the 1.4.1 version...

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December 01, 2014 | By Nitin Bandugula

Apache Hadoop Version 2.6 Has Been Released

The community version of Apache Hadoop 2.6 was released recently. Some of the cool new things that are part of the Hadoop 2.6 release include changes to YARN to support rolling upgrades, where the ResourceManager and the NodeManager will now preserve...

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September 29, 2014 | By Nitin Bandugula

Apache Storm Now an Apache Top Level Project

The capability to process live data streams enables businesses to make real-time, data-driven decisions. The decisions could be based on simple data aggregation rules or even complex business logic. The engines that support these decision models have...

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July 18, 2014 | By Nitin Bandugula

Why Spark on Hadoop Matters

M.C. Srivas, CTO and Co-Founder of MapR Technologies, spoke recently at Spark Summit 2014 on “Why Spark on Hadoop Matters.” Spark, with an in-memory processing framework, provides a complimentary full stack on Hadoop, and this integration is showing tremendous...

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July 03, 2014 | By Nitin Bandugula

Apache Open Source Projects Release Update

The latest updates for the Apache open source projects in the MapR Distribution for Hadoop are now out. This release includes patches for Hive version 0.11 and 0.13, Httpfs, Pig, along with the 0.9 (pre 1.0) release of Mahout. The new additions to Mahout...

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September 25, 2013 | By Nitin Bandugula

M7 Dramatically Boosts Apache HBase™ Application Performance Across Every Workload

As part of the latest MapR M7 release for NoSQL and Apache Hadoop, MapR conducted benchmark tests to measure and validate its Apache HBase™ application performance. The MapR M7 Edition dramatically boosted the performance of applications originally written...

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September 19, 2013 | By Nitin Bandugula

5 Warning Signs that your Database is Outdated

The following is an excerpt from a blog on ITProPortal.A company's database is an important component of business intelligence and helps to integrate the various departments within the enterprise. For years, companies relied on databases with ETL...

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July 16, 2013 | By Nitin Bandugula

Where are Snapshots Stored?

The MapR Distribution for Hadoop includes advanced high availability and data protection features such as JobTracker HA, no-NameNode Architecture, Snapshots and Mirroring. We are often asked where Snapshots are stored in the MapR Distribution for Hadoop...

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May 09, 2013 | By Nitin Bandugula

Building Scalable, Mission-Critical NoSQL Databases

NoSQL databases are becoming increasingly popular for analyzing big data. There are very few NoSQL solutions, however, that provide the combination of scalability, reliability and data consistency required in a mission-critical application. As the open...

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November 19, 2012 | By Nitin Bandugula

Breaking the Minute Barrier for TeraSort

The following is a re-post from Wired Innovation Insights_._ A new TeraSort world record was established using about $9 of Google Compute Engine resources and the MapR Distribution for Hadoop. TeraSort is a common technique used to benchmark Hadoop...

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November 13, 2012 | By Nitin Bandugula

MapR: Delivering on the Promise of Enterprise-Grade Hadoop

Apache HBase is a NoSQL database solution for large key-value based data sets that provides scale and strong consistency, combined with MapReduce functionality over Hadoop. About half of Hadoop users today deploy Apache HBase for their NoSQL operations...

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