A radically new approach to data integration saves engineering time, allowing engineers and analysts to pursue higher-value activities.

Harnessing the power of big data is increasingly important not just for business intelligence (BI)—a descriptive model that reveals to enterprises the current state of their companies—but also for data analytics. Data analytics offer predictive models with insight into where a business might head under different scenarios. Your organization's data gives you the opportunity to collect dynamic business intelligence.

Data pipeline orchestration is traditionally engineering-heavy. Use the modern data stack to free your engineers and analysts for higher-value projects.

Cox Automotive is a large, global business. It’s part of Cox Enterprises, a media conglomerate with a strong position in the Fortune 500, and a leader in diversity. Cox also has a strong history of technological innovation, with its core cable television business serving as a leader in the growth and democratization of media over the last several decades.

Cable and Satellite companies in the US have emerged from a decade of acquisitions, consolidation and shakeout and are beginning to assert themselves as full service providers in the communications and media space. With Comcast just announcing its new suite of cellphone plans this month, and Charter, Altice and Dish ramping up their offerings, the Big Three in wireless – AT&T, Verizon and T-Mobile/Sprint – are looking over their shoulders.

Originally developed by IBM, flat file databases have been around since the 1970s. Because these files store data in plain text format, most people use MS Excel to create them. It’s an easy-to-use system that allows for the quick sorting of results. This is because each line of plain text has just one record. Tabs, commas, or other delimiters separate multiple records. In this article, you’ll learn some tips for optimizing your flat file.

We’re delighted to announce the release of the Iguazio Data Science Platform version 3.0. Data Engineers and Data Scientists can now deploy their data pipelines and models to production faster than ever with features that break down silos between Data Scientists, Data Engineers and ML Engineers and give you more deployment options . The development experience has been improved, offering better visibility of the artifacts and greater freedom of choice to develop with your IDE of choice.

These are a new class of vendors like Gainsight and C3 who are building applications based on the idea data will drive a transaction, rather than transactions driving the data. The challenge for every enterprise software vendor is how to respond to this threat because it's going to be difficult. For big vendors, you're going to have vested interests internally who don't see this challenge coming or don't know how to respond to it. Some may even underestimate the threat of the change.

CDP is using Apache Ranger for data security management. If you wish to utilize Ranger to have a centralized security administration, HBase ACLs need to be migrated to policies. This can be done via the Ranger webUI, accessible from Cloudera Manager. But first, let’s take a quick overview of HBase method for access control.

Not sure what is the best way to track inbound calls? 30+ experts share how they approach call tracking and the metrics they care most about.