That creates major challenges for businesses and organizations trying to make valuable use of their data assets. They need advanced tools to identify and inventory the data they have and where it ...

SAN RAMON, Calif., Nov. 1 — Ventana Research today launched its newest benchmark research, an in-depth examination of Big Data Integration in businesses. The research focuses on the benefits of ...

Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

REDWOOD CITY, Calif., March 24 — Talend, the global big data integration software leader, today unveiled Talend Integration Cloud, a powerful new solution to extend and advance the data-driven ...

Big data has become a heavy buzzword, promising to deliver greater customer insight at a more granular level than ever possible before. Indeed, organizations can now access a wealth of information on ...

With a variety of big data comes complexity and enterprises are faced with the challenge of extracting and combining that data to form meaningful insights. The challenges involved with data ...

As large organizations like the federal government move to more agile and distributed IT infrastructures underpinned by unprecedented volumes of data, integration will be crucial to using those tools ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

Part 3 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the big data management and data integration software space. There is an increasingly popular saying that ...

Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, and unstructured lab notes or images. This “variety” makes it difficult to ...

In this contributed article, editorial consultant Jelani Harper discusses how organizations can now get the diversity of data required for meaningful machine learning results. The overhead of ...