If you could have analytics everywhere, there would be an abundance of insights, which could lead to a boom in decision making on nearly every level, regardless of the situation or user. This is the notion behind the importance of embedded analytics.

So far, our journey on using Apache Spark with Talend has been a fun and exciting one. The first three posts on my series provided an overview of how Talend works with Apache Spark, some similarities between Talend and Spark Submit, the configuration options available for Spark jobs in Talend and how to tune Spark jobs for performance. If you haven’t already read them you should do so before getting started here.

The third edition of Yellowfin Bytes brings you an exciting inclusion made to the Data Transformation module. Users have been exploring Yellowfin’s very own lite version of an ETL tool in the form of this module, ever since its introduction in Yellowfin 7.4 last year. We have since been enhancing this functionality by adding new steps, calculations, configurations, and more.

Databox polled dozens of marketers and salespeople to find out which one does a better job at generating leads, qualifying prospects, and ultimately closing sales.

Today, we want to share a number of updates that will make data analytics easier and more accessible to all businesses. Our goal is to help you focus on data analysis instead of infrastructure management, give you the freedom to orchestrate workloads across clouds, use machine-learning in a way that's integrated with your data analytics operations, and take advantage of open source data processing innovation.

For the past two years, Snowflake and Talend have joined forces developing deep integration capabilities and high-performance connectors so that companies can easily move legacy on-premises data to a built-for-the-cloud data warehouse. Snowflake, which runs on Amazon Web Services (AWS), is a modern data-warehouse-as-a-service built from the ground up for the cloud, for all an enterprise’s data, and all their users.

Out of the hundreds of BI analysts I’ve interacted with over the years, there are five that stand out as exceptional. To me, they stand out as the big-picture thinkers who have a clear passion for the BI space. Rather than just thinking mechanically about vendors, they’re focused on the broader role and evolution of data analytics and BI as a whole. This is my list of the top five data analysts to follow.

Radnor, PA - Qlik®, a leader in data analytics, today announced the acquisition of Podium Data, an enterprise-grade data management company whose solution simplifies and accelerates customers’ ability to manage, prepare and deliver analytics-ready data to every business user across a diverse data landscape. This acquistion expands Qlik’s mission, moving beyond analytics to being a provider of solutions that democratize data for every user to create a more data literate world.

These are manual, yet proven, link building techniques that can help you improve your domain authority while growing and sustaining organic website traffic.

Putting an end to the distribution of useless static reports, the risk inherent in manual spreadsheets and the false hope of inferior dataviz tools is nothing short of a Revolution.