Which BI architecture is better for your organization, ETL or ELT? This article explains the considerations and also how they relate to Data Warehouses and Data Lakes.
Welcome to Xplenty's Blog
All things data
Matt Mueller, President of a BI and analytics recruitment firm, shares his tips and best practices on how to hire a ‘Head of BI’.
Today, we have great news to share - Xplenty was included in StartUp50.com’s Annual StartUp Big 50 List. To earn our well-deserved spot in the Big 50 we had to battle our way through three rounds of tough competition with over 200 applicants vying for 50 spots..
Data warehouses (DWHs) are widely recognized as essential components of business intelligence and analytics operations. But the question of whether the optimal deployment route is in the cloud or on-premise remains hotly debated.
Like so many things, the truth is that there is no one-size-fits-all solution. Every business is different, and there are advantages and disadvantages in both approaches. On the one hand the cloud offers scalability and low entry cost advantages. On the other, there’s the security and flexibility that only an on-prem solution can offer.
Is Apache Spark as hot as you think it is? Although it shines so bright across the Big Data galaxy that some folks think that it may have killed the MapReduce star, Spark is still in its teenage years and has yet to fully mature as a platform. To find out the current state of Spark, we talked to Big Data specialist Uzy Hadad, founder of Inroid.
Xplenty notification emails now include “View Job” and “View Cluster” action buttons. The buttons are available at the inbox level, so you can easily interact with jobs and clusters in Xplenty without having to open emails.
New Xplenty features: Redshift merge, Google AdWords Reporting integration and scheduler enhancements
New Xplenty features: processing small files, importing Heroku connections, MongoDB secondary replica sets and more.
Many new functions are now available and also run-time variables in the job history.
We now have these additional features for you..
Analyzing the large amounts of data in your data warehouse is now easier than ever with support for the Cube and Rollup functions. You can now aggregate your data across multiple field combinations in one step. Besides reducing the steps required, the processing is now more efficient.
We've been busy adding new features since the last announcement.
Xplenty now provides the capability to directly access source data from relational databases. You can use the new Database Source component to read data directly from Postgres, MySQL and Amazon RDS.
On Monday April 7th an OpenSSL security update was released for the "Heartbleed" vulnerability. Here at Xplenty we've immediately installed the security update to protect ourselves from this vulnerability and are reissuing our SSL certificate.
Xplenty now supports the capability to join dataflows using non-equality conditions to compare values between the dataflows. This is done using the new cross join component to define the data sources to join and then applying a filter to the joined dataflow.
Hey all you out there in Xplentyland. We haven't forgotten about you. In fact, we've been thinking about you since the last update regarding new features, because we've been adding...you guessed it, new features! So away we go...
We haven’t forgotten about you. In fact, we’ve been thinking about you since the last update regarding new features, because we’ve been adding…you guessed it, new features! So away we go…
Xplenty is excited to announce we now support Rackspace’s public cloud offering. Rackspace users can now use Xplenty’s Data Integration-as-a-Service to process their data. Xplenty provides you with out of the box connectivity to Rackspace Cloud Files, Rackspace Cloud Database-as-a-Service, Mongo DB or any other relational database that you have on the cloud.
We've decided to end the year with some platform upgrades for you. Just a few more tweaks to make Xplenty Hadoop-as-a-Service that much more functional.
We’ve decided to end the year with some platform upgrades for you. Just a few more tweaks to make Xplenty Hadoop-as-a-Service that much more functional.
Happy holidays everyone! We've been working hard to make the Xplenty Hadoop-as-a-Service platform better and more user friendly for you. We hope you're enjoying your experience with us, and these updates and improvements will make it that much better. Enough small talk, let's cut to the chase.
Happy holidays everyone! We’ve been working hard to make the Xplenty Hadoop-as-a-Service platform better and more user friendly for you. We hope you’re enjoying your experience with us, and these updates and improvements will make it that much better. Enough small talk, let’s cut to the chase.
Let us just get this out of the way right now - it’s been a while since we've written. But we have a good reason, honest we do. We've been making mad upgrades and system tweaks for your benefit.
It’s been a while since we've written. But we have a good reason, honest we do. We've been making mad upgrades and system tweaks for your benefit.
Here, at Xplenty we’re gearing up for the release of our Hadoop-as-a-Service platform in a few days’ time. We’re very excited after working really hard in the past year to make our product as great as it possibly can be. We’re true believers in enabling Big Data technologies in general, and Hadoop in particular to the real users of data.
We are proud to announce a few enhancements we've just rolled out.
- Account Members - you can invite your friends and colleagues to help you solve your big data problems. Just go to your account settings, click members and invite them.
- We also added new Watchers API endpoint which enables you to list a cluster or job watchers, add the authenticated user as a watcher, or remove the authenticated user from the watchers list. Check out theWatchers documentation.
We’ve rolled out some new features for you to manage your cluster and jobs.
We’ve been busy upgrading the platform and have some nifty new features for you.
Xplenty is pleased to announce we are launching a public release. Now anyone can sign up, get a free 14 day trial period in which they can build packages and test them. Then, once you've realized how easy it is to process large amounts of data using Xplenty, you can pick a pricing plan and become an actual paying customer. The pricing plans determine the maximum size and number of clusters that can be created in an Xplenty account. Existing customers will not be affected by the changes.
We're very happy to launch the Xplenty site and to share our vision - and of course our product - with you.