Big data's creating jobs. Infoworld’s Dan Tynan came up with a list of five big data job titles, many of which will sound familiar to business intelligence and data mining experts. The difference is scale and a new set of expectations about what terabytes of data can reveal to every department in the organization. What big data-related skills do you see in demand? Weigh in at our comment section below. The jobs and skills you need to know about: Data Mining/Data Science The most important new tool is Hadoop, but you don’t necessarily need a computer science degree to become a data scientist. More important may be familiarity with statistical software packages like R or SAS and the ability to present results in a clear and effective way.

• Data Visualization Data visualization tools of many types (starting with something as simple as Excel) hook into data sources like CRM products to make charts and graphs that matter. Database management stills are essential and you have to know how Web analytics works.
• Data Analysis: Coding skills matter as you write scripts that pull data from multiple sources. You have to know how API calls work and what happens to the layers of data they're interacting with. CSS and PHP scripting, JavaScript and Python can all come in handy.
• Data Manipulation: This is the task of combining files, sorting them in multiple dimensions and breaking out data to tell the story that needs to be told. Again, an understanding of database structures and database reporting is key.
• Data Discovery: Electronic discovery is the work of digging through records to find whatever may be needed for litigation. It’s a specialty all its own, and since any given case can yield hundreds of gigabytes of relevant data, searching, sorting and prepping it quickly and correctly is key to keeping legal costs down. You don't need to be a lawyer, but you have to work well with legal teams as you apply your tech skills to the problem.