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YANIV MOR

The New Xplenty

We have been working on creating a new, improved platform for the past 12 months, and we are excited to announce that it is finally ready to launch.

Features and Updates

Xplenty Announces $4 Million in Venture Funding and Acquires Driven, a Leader in Big Data Application Infrastructure

Xplenty, the data integration platform helping organizations make raw data “analytics-ready,” today announced it has received a $4 million Series A extension from Bain Capital Ventures, True Ventures and Rembrandt...

Features and Updates

Data Hoarding: A Bad Habit Companies Need to Overcome

In an interview with Datanami, Xplenty CEO Yaniv Mor explains the pitfalls of data hoarding and how to overcome it.

Features and Updates

How to Use Data to Create Personalized Marketing Campaigns and Increase ROI

This post takes a look at how you can use Xplenty, a data integration tool, to create personalized data-driven marketing campaigns to increase your ROI.

Features and Updates

Recap: Xplenty Data Panel → Big Data's 'Janitor' Problem - Is it Killing ROI?

May was a crazy month here at Xplenty. We started our event tour at Collision in Las Vegas. Then we headed over to NYC for the Data Summit where CEO,...

Features and Updates

Cloud Data Integration - Myth vs. Reality

So you’re on the cloud or plan to move there very soon.

Features and Updates

Top 5 Big Data Events

Every year, dozens of Big Data conferences take place all over the world, from San Francisco to Shanghai. Now that 2015 is finally here, it’s time to open up your...

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Xplenty’s Data Processing Survey

We want to know more about the Big Data community: what causes them headaches? What makes them happy? Which tools and technologies do they use? When we had our booth...

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5 Reasons You Need to Process Small Data with Hadoop

Big Data is mostly famous, well, for being big. So if you have anything under a petabyte, why would you even think about using Apache Hadoop? But you should.

Features and Updates

How To Offload Data Processing from Google BigQuery

Google BigQuery is a great Big Data warehouse on the cloud for the SQL-savvy. But it’s not right for everything. Google itself recommends using Hadoop’s MapReduce rather than BigQuery for...

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Mining Dark Data without Hadoop

Hadoop is definitely a great solution for processing dark data, but what if you don’t know how to use it? Hadoop requires you to buy new hardware, provide expert maintenance,...

Features and Updates

World Cup 2014 - Australia vs. Netherlands Twitter Analysis

(Image by gi.te63 , Some rights reserved ) The 2014 World Cup is the hottest World Cup ever. Not just because of the soaring temperatures in Brazil that send players...

Features and Updates

Designing a Big Data Warehouse on the Cloud

In our previous post , we discussed Mad Men and how to design a data warehouse in the space age of Big Data. This post will take another step forward,...

Features and Updates

Designing a Data Warehouse in the Age of Big Data

In "The Monolith", the fourth episode in Mad Men’s final season, a huge computer is installed in the center of the floor. The computer was brought in because a competing...

Features and Updates

What's the Cheapest Way to Store Big Data in the Cloud?

There are three ways to collect data on the cloud: storing it directly in the database, uploading log files, or logging via S3/CloudFront. Although we reviewed the pros and cons...

Features and Updates

Hadoop ETL with Apache Pig

What does it mean to be a pig? Well, according to the philosophers behind the Apache Pig project pigs eat anything, live anywhere, and are domestic animals. They even claim...

Features and Updates

Inmon vs. Kimball - The Big Data Warehouse Duel

In his recent article "Turbocharge Your Porsche - Buy An Elephant", Bill Inmon, "the father of data warehousing", criticizes Cloudera for associating Big Data with the data warehouse, two totally...

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