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When you need to get ahead, ramp up!
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Recognizing and Rescuing a Failing Big Data Project
Recognizing and Rescuing a Failing Big Data Project
If you ran an analysis, you may discover there is a good chance your big data project will not proceed according to plan. According to an…
Jim Scott
Nov 23, 2015
5 Google Projects That Changed Big Data Forever
5 Google Projects That Changed Big Data Forever
“Google is living a few years in the future and sends the rest of us messages,” — Doug Cutting, Hadoop founder
Jim Scott
Nov 3, 2015
Apache Spark: A Key to Big Data Initiatives
Apache Spark: A Key to Big Data Initiatives
Apache Spark continues to gain a lot of traction as companies launch or expand their big data initiatives. There is no doubt that it’s…
Jim Scott
Dec 2, 2015
Apache Spark vs. Apache Drill
Apache Spark vs. Apache Drill
Editor’s note: If you would like to learn more about using Spark there is a free book titled Getting Started with Apache Spark: From…
Jim Scott
May 25, 2016
Using Python with Apache Spark
Using Python with Apache Spark
Apache Spark is awesome. Python is awesome. This post will show you how to use your favorite programming language to process large datasets…
Jim Scott
May 27, 2016
Latest
Turning Data Into Value with Hadoop and Spark — Infographic
Turning Data Into Value with Hadoop and Spark — Infographic
The faster questions can be asked the faster you can get answers. Waiting for data to be shipped off of servers to a central processing…
Jim Scott
Jul 18, 2016
Apache Spark in a Hadoop-based Big Data Architecture — Infographic
Apache Spark in a Hadoop-based Big Data Architecture — Infographic
Note: If you’re interested in learning more about Apache Spark, download this free interactive ebook — Getting Started with Apache Spark…
Jim Scott
Jul 15, 2016
Big Data on the Road
Big Data on the Road
Getting from point A to point B has been one of humanity’s greatest preoccupations throughout history. While we’ve developed new methods of…
Jim Scott
Jul 13, 2016
A Guide to Spark Streaming — Code Examples Included
A Guide to Spark Streaming — Code Examples Included
Apache Spark is great for processing large amounts of data over large clusters, but wouldn’t it be great if you could process data in near…
Jim Scott
Jul 8, 2016
A Closer Look at RDDs
A Closer Look at RDDs
Apache Spark has gotten a lot of attention for its fast processing of large amounts of data. But how does it get up to speed? The biggest…
Jim Scott
Jul 6, 2016
How the Internet of Things Impacts Big Data Strategies
How the Internet of Things Impacts Big Data Strategies
What exactly is the Internet of Things? Put simply, the Internet of Things (IoT) connects devices such as everyday consumer objects and…
Jim Scott
Nov 17, 2015
NoSQL Databases: 4 Game-Changing Use Cases
NoSQL Databases: 4 Game-Changing Use Cases
Sure, you’ve heard about NoSQL, but is it just another technology fad that’s all hype? What can you actually do with a NoSQL database? With…
Jim Scott
Jun 29, 2016
NoSQL and Real-Time Analytics: What You Need to Know
NoSQL and Real-Time Analytics: What You Need to Know
If you’re in business, you need to know what’s going on both inside and outside your company operations. You need some kind of analytics to…
Jim Scott
Jan 10, 2016
Running at Google Scale With the Zeta Architecture
Running at Google Scale With the Zeta Architecture
Google has set the standard for most of the world when it comes to running systems at scale. It has created a number of different…
Jim Scott
May 18, 2015
Powering Personalized Medicine with Hadoop and Apache Spark
Powering Personalized Medicine with Hadoop and Apache Spark
The Obama administration plans to dedicate $215 million in the 2016 budget to the “Precision Medicine Initiative.” This project centers on…
Jim Scott
Jun 20, 2016
Lower Big Data Hardware TCO with Hadoop
Lower Big Data Hardware TCO with Hadoop
Apache Hadoop unquestionably delivers ROI by increasing the flexibility of data management/storage, processing, and analytics abilities…
Jim Scott
Jun 17, 2016
Vendor Lock-in and the Big Data Ecosystem — What Does it Really Mean?
Vendor Lock-in and the Big Data Ecosystem — What Does it Really Mean?
I read a lot of propaganda these days. Not in a national or international political sense, but within the business world. Here’s an…
Jim Scott
Jun 15, 2016
Solving Problems with the Right Technology: Hadoop and RDBMS
Solving Problems with the Right Technology: Hadoop and RDBMS
In some circles today there is a sort of ‘Hadoop vs. RDBMS’ debate ongoing. Often the discussion casts Hadoop as the obvious heir apparent…
Jim Scott
Jun 10, 2016
How to Evolve from RDBMS to NoSQL + SQL
How to Evolve from RDBMS to NoSQL + SQL
For the past 25 years, applications have been built using an RDBMS with a predefined schema that forces data to conform with a schema…
Jim Scott
Jun 13, 2016
Big Data: The Key to Unlocking Facial Recognition in Business
Big Data: The Key to Unlocking Facial Recognition in Business
Companies everywhere are looking for ways to improve customer service. For example, companies with call-in support centers might track how…
Jim Scott
Jun 8, 2016
Streaming in the Extreme
Streaming in the Extreme
Are you ready to start streaming all the events in your business? What happens to your streaming solution when you outgrow your single data…
Jim Scott
Jun 6, 2016
MapR Streams vs. Apache Kafka — Whiteboard Walkthrough
MapR Streams vs. Apache Kafka — Whiteboard Walkthrough
In this week’s Whiteboard Walkthrough, Jim Scott, Director of Enterprise Strategy and Architecture at MapR, discusses a business use case…
Jim Scott
Jun 3, 2016
Stream Processing Everywhere — What to Use?
Stream Processing Everywhere — What to Use?
Processing data from social media streams and sensors devices in real time is becoming increasingly prevalent, and there are plenty of open…
Jim Scott
May 31, 2016
A Look at SparkSQL
A Look at SparkSQL
If you’ve been reading about Apache Spark, you might be worried about whether you have to relearn all of your skills for using it to…
Jim Scott
May 30, 2016
Apache Flink GA — Planning for the Future
Apache Flink GA — Planning for the Future
The distributed computation world has seen a massive shift in the last decade. Apache Hadoop showed up on the scene and brought with it new…
Jim Scott
May 23, 2016
A Quick Guide to Spark Streaming
A Quick Guide to Spark Streaming
Stream processing is a power that has been added alongside Spark Core and its original design goal of rapid in-memory data processing…
Jim Scott
Dec 14, 2015
Impacting Business As-It-Happens
Impacting Business As-It-Happens
To get value out of today’s big and fast data, organizations must evolve beyond traditional analytic cycles that are heavy with data…
Jim Scott
Dec 7, 2015
Using Apache Spark for the First Time
Using Apache Spark for the First Time
If you read our recent blog post, “Spark 101: What Is It, What It Does, and Why It Matters,” you know that Spark is a general-purpose data…
Jim Scott
Nov 30, 2015
Calculating the Soft Costs of Hadoop
Calculating the Soft Costs of Hadoop
Estimating the total cost of ownership (TCO) for Hadoop has been a challenge. Costs can be hidden or unanticipated during the planning and…
Jim Scott
Nov 29, 2015
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