Hadoop, Hadoop distros and the technologies and analytics around big data keep getting more widespread and more pragmatic to use because the benefits of leveraging them are now both proven and obvious.
Rather than pontificate further, we’ll just bring you the notable news we think is worthy of your attention.
Data Torrent Hooks a Big Fish
Data Torrent hooked a big fish last week when it landed Hortonworks cofounder and Hadoop pioneer Eric Baldeschwieler as its strategic adviser.
Baldeschwieler will offer expert counsel to the Santa Clara, Calif.-based start-up as it continues to refine and build out its big data streaming Hadoop 2.0 YARN-native application platform. Unlike anything else on the market, it can monitor tens of millions of real time events on a per-second basis which is becoming increasingly important with the advent of the Internet of Things (IoT).
This will allow managers to make decisions based on information as it flows in versus making predictions based on what has happened in the past.
Last Friday Data Torrent was selected to present in the Lightning Round at TiEcon, the world’s largest innovation conference. In addition to that, in April it was selected as one of 10 “Hot Hadoop Startups to Watch” by CIO Magazine. The company also won GigaOm’s Structure Data Reader’s Choice Award in February.
You can bet that we’ll keep an eye on the start-up.
SnapLogic Makes Big Data More Exploitable via SnapReduce
We know, “exploitable” seems like a bad word, but in this context it just means that you get to work with and glean insights from more data. That’s what SnapLogic makes possible because it connects clouds.
And while more data is important, so is speed.
SnapLogic, which calls itself an Elastic Integration company, does something special: it busts silos. Its integration platform as a service (iPaaS) connects cloud applications (such as Salesforce, ServiceNow and WorkDay) APIs, and disparate data sources with the rest of the enterprise thereby making it possible for you to work with and gain insights from more, and more kinds of, data. SnapLogic has now introduced SnapReduce 2.0, which the company says makes SnapLogic a Hadoop 2 YARN application.
The win here is that enables Hadoop users to take advantage of an HTML5-based drag-and-drop user interface, breadth of connectivity and modern architecture.
SnapReduce 2.0 offers:
- Improved big data acquisition via instantaneous access to more than 160 data sources from within Hadoop via pre-built connectors, called Snaps. Going beyond developer tools like Sqoop and Flume, SnapLogic allows Hadoop users to access and inspect cloud and on premises data sources in an easy-to-use graphical interface. Updates to the SnapLogic Hadoop Distributed File System (HDFS) Snap also take advantage of Hadoop 2.0 innovations.
- Double Data Scientist Productivity: Most data scientists spend the majority of their time on cumbersome coding tasks, data gathering and data preparation. SnapReduce 2.0 doubles data scientist productivity by simplifying complex data shaping tasks such as transformations, joins and unions.
- Universal Big Data Delivery: Make Hadoop data and analytics results easily available to off-cluster applications and data stores such as statistical packages and business intelligence (BI) or visualization tools.