Welcome to Xplenty's Blog.

Challenges With Leading the R&D Team in a Technology Startup

Challenges With Leading the R&D Team in a Technology Startup

Running an R&D team is always challenging, no matter how experienced you are.

Xplenty Asana Integration

Xplenty Asana Integration

Xplenty, swoops in as a superhero in the world of ETL, to save you time (which means money) getting all that data into your company’s analytic data store. Grab data...

Xplenty HipChat Integration

Xplenty HipChat Integration

Xplenty integration with HipChat is super fast and incredibly easy using Xplenty’s HipChat hooks. Xplenty’s HipChat hooks allow you to get real-time updates about your account activity into your HipChat...

Xplenty Salesforce Integration

Xplenty Salesforce Integration

Xplenty's integration with Salesforce is the easiest way to read and process your data from Salesforce and move it to an analytic data stores such as Amazon Redshift or Google...

Xplenty PagerDuty Integration

Xplenty PagerDuty Integration

We already integrate with many tools to reduce the bulk of time you likely spend on cleaning your data and preparing it for analytics. We want to continue to make...

Xplenty Slack Integration

Xplenty Slack Integration

At Xplenty, we aim to make moving and processing data as quick and seamless as possible.
We integrate with a ton of tools your teams already uses to make...

Xplenty and Segment: Processing Your Customer Behavior Data

Xplenty and Segment: Processing Your Customer Behavior Data

With Segment and Xplenty, you can sort, filter and aggregate your customer behavior data without writing any code, or installing or maintaining anything.

How to Collect, Transform, and Visualize Your Data on the Cloud

How to Collect, Transform, and Visualize Your Data on the Cloud

Data collection, data processing, data visualization, and reporting are becoming more and more challenging as data volumes grow and data formats change. Combined with the increased use of public cloud...

Top 3 Updates from AWS re:Invent 2014

Top 3 Updates from AWS re:Invent 2014

Amazon had some great news at AWS re:Invent 2014 in Vegas—and we were there to hear it. Most of them were geared toward enterprises and developers, but three stood out...

Our Top 5 Picks for AWS re:Invent Sessions on Big Data

Our Top 5 Picks for AWS re:Invent Sessions on Big Data

Next week we’ll be heading down to Vegas for AWS re:Invent 2014. We’re eager to meet the Big Data community and attend AWS sessions. There are quite a few of...

Is Hadoop Secure for the Enterprise?

Is Hadoop Secure for the Enterprise?

While Hadoop has proved its power for scalable storage and processing of Big Data, it may not be enterprise-ready when it comes to security. Hortonworks, Cloudera and MapR address this...

Hadoop YARN Turns One: Spark Killed the MapReduce Star

Hadoop YARN Turns One: Spark Killed the MapReduce Star

Hadoop YARN may be the gun that hangs on the wall in the first act and kills MapReduce in the last—Google Trends clearly shows that interest in Hadoop is still...

Hadoop YARN Turns One: Hadoop Renaissance

Hadoop YARN Turns One: Hadoop Renaissance

These days, there is a renaissance of Hadoop-based Big Data projects: Impala, Spark, Storm, Flink and HBase as well as several SQL-on-Hadoop tools. Most of these projects are still in...

Hadoop YARN Turns One: Upgrading to YARN

Hadoop YARN Turns One: Upgrading to YARN

YARN's promise was big and exciting, but did it deliver? Now that we’ve spent a year with the baby elephant, we're happy to announce YARN Week: a three post series...

How to Prepare IBM SoftLayer Data for Analysis

How to Prepare IBM SoftLayer Data for Analysis

IBM joined the cloud computing market when it bought SoftLayer in 2013. One of the services that it provides is cloud-based storage, just like Amazon S3 and Rackspace. You can...

Processing Data from Rackspace Cloud Files

Processing Data from Rackspace Cloud Files

Amazon is not alone in the cloud: Rackspace, a cloud computing company that was established back in 1998 in Texas, is one of its major competitors. It also founded OpenStack,...

Transform Data from Amazon RDS with Xplenty

Transform Data from Amazon RDS with Xplenty

How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration...

Offload Redshift ETL to Xplenty

Offload Redshift ETL to Xplenty

Xplenty can read data from SQL Server, MongoDB, SAP HANA, and many more data stores. One of the many DBs Xplenty integrates with is Redshift.

Prepare Data for Analysis in Heroku

Prepare Data for Analysis in Heroku

Some developers need to process data. Maybe you work in a small startup where people take on several roles, or maybe in an enterprise company where you are asked to...

Processing JSON Data on the Cloud

Processing JSON Data on the Cloud

We’ve processed plenty of JSON data in our blog - from Tweets to GitHub commits - but we’ve never really discussed how to process JSON with Xplenty’s data integration on...

Parsing AWS CloudTrail Log Files

Parsing AWS CloudTrail Log Files

Amazon’s CloudTrail is a service that logs AWS activity. However, these logs need some preparation before they can be analyzed. In this post, we’ll see how to parse these log...

Parsing User Agent Strings in Big Data

Parsing User Agent Strings in Big Data

Big Data brother is watching - whenever users surf your website, their browser sends an HTTP header called ‘User Agent’. It tells your web server which browser they’re using, in...

How to Parse Query String Parameters from URLs in Big Data

How to Parse Query String Parameters from URLs in Big Data

Parsing URL query string parameters is easy with Xplenty. You can take a huge pile of web server logs and analyze them via Xplenty’s visual interface. Let me show you...

Data Integration on the Cloud with Heroku PostgreSQL and Xplenty

Data Integration on the Cloud with Heroku PostgreSQL and Xplenty

What can you do with data collected on Heroku PostgreSQL? How will you analyze it and integrate it? With Xplenty, of course! Xplenty lets you connect to a PostgreSQL database...

Cloud Data Integration with MongoHQ and Xplenty

Cloud Data Integration with MongoHQ and Xplenty

Xplenty loves MongoDB. We’ve already guided you how to integrate with MongoLab, and now we’ll show you how to do data integration on the cloud with Xplenty and MongoHQ.

Improving Pig Data Integration Performance with Join

Improving Pig Data Integration Performance with Join

Did you know that choosing the right join type for your data could improve your data integration performance? Given certain data sets, Pig provides several join algorithms that process them...

Analyze Papertrail Logs on the Cloud with Xplenty

Analyze Papertrail Logs on the Cloud with Xplenty

Papertrail is a cloud-hosted log management service. We use it internally for business insights and eat our own dogfood by processing the logs on Xplenty, our data integration platform on...

Data Integration on the Cloud with MongoLab and Xplenty

Data Integration on the Cloud with MongoLab and Xplenty

Xplenty can integrate various data sources on the cloud. One of the services it can integrate with is MongoLab, a MongoDB-as-a-service. This post will demonstrate how to connect them together.

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8 SQL-on-Hadoop Challenges

8 SQL-on-Hadoop Challenges

Introducing Apache Hadoop to the organization can be difficult - everyone is trained and experienced in the old ways of SQL and all the analytics tools integrate with SQL. Certain...

Integrating Relational Databases with Apache Hadoop

Integrating Relational Databases with Apache Hadoop

Relational databases are here to stay - they are common, integrate with other information systems, do a good job of querying structured data, and people know how to use them....

MongoDB + Xplenty = Perfect Big Data Stack

MongoDB + Xplenty = Perfect Big Data Stack

We love things that are great in pairs, things like chocolate and vanilla, gin and tonic, and Simon and Garfunkel. This is why we are proud to announce the new...

Analyze AWS CloudFront Logs in 15 Minutes

Analyze AWS CloudFront Logs in 15 Minutes

In the first two posts in the series we learned how to scale data collection on the cloud and collect Big Data with S3/Cloudfront logging. Some of our...

5 Funnel Analysis Technical Challenges

5 Funnel Analysis Technical Challenges

Funnel analysis is awesome. Whether your company has a checkout, a registration, or any kind of process on a website or even in real life, funnel analysis lets you see...

Collecting Big Data with S3/CloudFront Logging

Collecting Big Data with S3/CloudFront Logging

In our recent article, Scale Your Data Collection on the Cloud Like a Champ, we reviewed several ways of collecting big data, the most promising of which was

Scale Your Data Collection on the Cloud Like a Champ

Scale Your Data Collection on the Cloud Like a Champ

When we met with WalkMe, a company which offers helpful in-app walkthroughs (we use it for our app and it’s great), our meeting took a surprising turn. We expected...