Talend is a software integration solution that focuses on data management for big data, cloud storage, overall data integration and data management to ensure data quality and data preparation tools, as well as application integration solutions. Its solutions include support for Cloudera Altus, Azure, AWS, and Google.
One thing we all know about the hospitality and entertainment industry is that it is very competitive and that consumers have a lot of options and choices. In this competitive market, it is more important than ever to have the data and information that will help you make business decisions about new products, new channels, custom behavior and local and global competition.
Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation.
Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge.
Apache Spark enables programmers with an application-programming interface that focuses on data structure. Apache Spark programming allows Spark consultants to expand the capabilities of development and programming, map functions across data, and simplify data results. The tool supports Hadoop YARN, Apache Mesos, Hadoop Distributed File System, Cassandra, OpenStack Swift, Amazon 53, Kudu, and MapR File System. It offers the Apache Spark developer a powerful tool to work in an integrated environment and simplify the programming environs.
Retail is changing, and it is changing fast! Online buying is having a significant impact on brick and mortar and customer loyalty has changed dramatically. Consumers now have more options and they are leveraging those options to find the best price and the best value.
Anything that can help your business users to understand, interpret and analyze data is a help! Users have many tasks to perform in a given day and while analysis may not be their forte, they definitely need clear, concise data to share, to make decisions and to see opportunities, challenges and patterns.
Making the most of your data can be difficult, especially with so many data repositories, data warehouses and other data storage locations. Whether you have a data warehouse or you are considering implementing a DWH, you need to think carefully about how to structure, organize and integrate data if you are to achieve your data management goals.
