The Cloud model lowers the barriers to entry-especially cost, complexity, and time-to-value-that have traditionally limited the adoption and successful use of data warehousing technology. Download this report to learn the advantages of data warehouses in the Cloud and where a Cloud data warehouse fits within the enterprise analytics strategy.

This eBook helps you understand the full capacity of what a true data lake can deliver and the four pillars required to support it. The right data lake platform goes deeper and broader than ever before to reach unfathomable levels of new insight.

With the most comprehensive security measures in place, Talend Integration Cloud makes cloud data secure in transit and at rest, giving enterprises full confidence in cloud data privacy.

Using Talend and Amazon Web Services (AWS), financial institutions are building cloud data lakes to consolidate customer data across hundreds of sources. By validating the quality of that data and correlating data sets with automated processes, you can deliver trusted reporting that meets regulatory requirements and uncover insights for new business.

To find out the state of the IoT and Big Data markets, the O'Reilly team analyzed 300 TB of text and billions of digital documents-search queries, meetups, hiring patterns, SEC filings, websites, and more. The results-based on a big-data analysis of true market activity, not just speculation-are surprising and exciting.

Enterprises have realized that leveraging their data to make data-driven decisions is critical to innovation and staying ahead of their competition. But often organizations are not able to efficiently integrate and process enterprise data for fast analytics, due to reliance on legacy ETL solutions and data silos.

This white paper shows you how to spot bad data and debunks the 6 most common data quality myths. As the total volume of data around the world continues to increase, so will the volume of bad data. Poor data quality costs companies an average of $15 million per year (and rising), according to Gartner.

This handbook takes a deep dive into the IT architectures developed by 3 different enterprises for big data, real-time analytics, and ETL projects on Amazon Web Services (AWS) using Talend.