Hadoop successor sparks a data analysis evolution

2015 could be the year for Apache Spark

If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.

"There is a strong industry consensus that Spark is the way to go," said Curt Monash, head of the IT analyst firm Monash Research.

"Next year, you will see a lot of [Hadoop] use cases that transcend Hadoop," said Ali Ghodsi, CEO and co-founder of Databricks, a company formed by a number of the creators of Spark that offers a hosted Spark service, as well as technical support for software distributors selling Spark packages.

Spark is an engine for analyzing data stored across a cluster of computers. Like Hadoop, Spark can be used to examine data sets that are too large to fit into a traditional data warehouse or a relational database. Also like Hadoop, Spark can work on unstructured data, such as event logs, that hasn't been formatted into database tables.

Spark, however, goes beyond what Hadoop can easily do, in that it can analyze streaming data as it is coming off the wire.

As such, it can serve as a faster replacement to the Hadoop MapReduce framework for data analysis. In the annual Daytona Gray Sort Challenge, which benchmarks the speed of data analysis systems, Spark easily trumped Hadoop MapReduce, and was able to sort through 100 terabytes of records within 23 minutes; It took Hadoop over three times as long to execute the same task, about 72 minutes.

Initially, real-time processing may not seem like a big distinction, however, such capabilities have been used to create entirely new lines of businesses.

"We've built our intellectual property around Spark," explained ClearStory Data CEO and co-founder Sharmila Shahani-Mulligan. ClearStory Data offers a new business intelligence service that allows teams to assemble a series of data visualizations into a narrative, as if they were a PowerPoint presentation. The data can come from many sources and can be updated as new data comes in.

"People want fast response times. They don't want to wait a day for an answer," Ghodsi said. For instance, Spark could be used to help digital advertisers decide what ad to serve to users based on their last few clicks, rather than on what sites they clicked on a few days or weeks prior. Spark's data processing speed is important, because while the amount of data we collect is growing rapidly, the advancement of computer processing power is tapering off.

Spark also offers a richer palate of ways to analyze data, Monash said. Hadoop's default analysis engine, MapReduce, is chiefly capable of executing one kind of problem, involving the filtering and sorting of data across different servers (the "map" portion of the job) and the summarizing of the results (the "reduce" side of the problem).

In contrast, Spark was designed to tackle more complex queries involving techniques of machine learning and predictive modeling, among others. "Things that Hadoop MapReduce was pretty good at, Spark is potentially better at," Monash said.

Another early adopter of Spark has been music streaming service Spotify, which uses the technology to generate playlists of music based on the user's specific tastes based on a set of machine learning algorithms.

Even Hadoop users are getting the message. Hadoop distributor Cloudera, which also includes Spark in its releases, has about 60 enterprise customers using Spark in some form or another, according to Monash. Other Hadoop distributors, notably Hortonworks and MapR, also offer Spark in their distributions.

The Spark project was started in 2008 at the University of California, Berkeley's AMPLab (the AMP stands for Algorithms, Machine and People). Now under the guidance of the Apache Software Foundation, the project gets more contributions than any other Apache software project. Core contributors include engineers and developers from companies such as Intel, Yahoo, Groupon, Alibaba and Mint.

Spark can be used in conjunction with Hadoop, to analyze data on the Hadoop File System (HDFS), or it can be run on its own. Developers build applications off of Spark using either Python, Java or the Scala programming languages.

"Part of the attraction of Spark is that it has a pretty nice API [application programming Interface] that makes it accessible to use for developers and engineers," said Reynold Xin, a Databricks co-founder.

We will see many more products and services based on Spark next year, predicted Databricks' Ghodsi. Programmers are often are asked about their Spark chops.

"We've had multiple [job] candidates out there say that they have seen multiple exciting Spark projects," Ghodsi said.

Joab Jackson covers enterprise software and general technology breaking news for The IDG News Service. Follow Joab on Twitter at @Joab_Jackson. Joab's e-mail address is Joab_Jackson@idg.com

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.
Show Comments
cmo-xs-promo

Latest Videos

More Videos

Anyone can become a victim of the sophisticated schemes set up by these scam websites. It's not about being smart; I don't consider mysel...

Mathieu Lecompte

ACCC takes Meta to court over scam cryptocurrency advertising

Read more

Nice blog!Blog is really informative , valuable.keep updating us with such amazing blogs.influencer agency in Melbourne

Rajat Kumar

Why flipping Status Quo Bias is the key to B2B marketing success

Read more

good this information are very helpful for millions of peoples customer loyalty Consultant is an important part of every business.

Tom Devid

Report: 4 ways to generate customer loyalty

Read more

Great post, thanks for sharing such a informative content.

CodeWare Limited

APAC software company brings on first VP of growth

Read more

This article highlights Gartner’s latest digital experience platforms report and how they are influencing content operations ecosystems. ...

vikram Roy

Gartner 2022 Digital Experience Platforms reveals leading vendor players

Read more

Blog Posts

​Why we need to look at the whole brand puzzle, not just play with the pieces

Creating meaningful brands should be a holistic and considered process. However, all too frequently it’s one that is disparate and reactive, where one objective is prioritized at the expense of all others. So, what are the key pieces to the ‘good’ brand puzzle?

Marketing overseas? 4 ways to make your message stick

Companies encounter a variety of challenges when it comes to marketing overseas. Marketing departments often don’t know much about the business and cultural context of the international audiences they are trying to reach. Sometimes they are also unsure about what kind of marketing they should be doing.

Cynthia Dearin

Author, business strategist, advisor

From unconscious to reflective: What level of data user are you?

Using data is a hot topic right now. Leaders are realising data can no longer just be the responsibility of dedicated analysts or staff with ‘data’ in their title or role description.

Dr Selena Fisk

Data expert, author

Sign in