Big Data
Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size. Here are some of big data tools and softwares.
Characteristics of big data
Big data is a collection of data from many different sources and is often describe by below characteristics
Hadoop
The Apache Hadoop software library is a big data framework. It allows distributed processing of large data sets across clusters of computers. It is one of the best big data tools designed to scale up from single servers to thousands of machines.
Features:
- Authentication improvements when using HTTP proxy server
- Specification for Hadoop Compatible Filesystem effort
- Support for POSIX-style filesystem extended attributes
- It brings Flexibility In Data Processing
- It allows for faster data Processing
Features:
- Authentication improvements when using HTTP proxy server
- Specification for Hadoop Compatible Filesystem effort
- Support for POSIX-style filesystem extended attributes
- It brings Flexibility In Data Processing
- It allows for faster data Processing
Atlas.ti
Atlas.ti is all-in-one research software. This big data analytic tool gives you all-in-one access to the entire range of platforms. You can use it for qualitative data analysis and mixed methods research in academic, market, and user experience research.
Features:
- You can export information on each source of data.
- It offers an integrated way of working with your data.
- Allows you to rename a Code in the Margin Area
- Helps you to handle projects that contain thousands of documents and coded data segments.
Features:
- You can export information on each source of data.
- It offers an integrated way of working with your data.
- Allows you to rename a Code in the Margin Area
- Helps you to handle projects that contain thousands of documents and coded data segments.
Atlas.ti
Atlas.ti is all-in-one research software. This big data analytic tool gives you all-in-one access to the entire range of platforms. You can use it for qualitative data analysis and mixed methods research in academic, market, and user experience research.
Features:
- You can export information on each source of data.
- It offers an integrated way of working with your data.
- Allows you to rename a Code in the Margin Area
- Helps you to handle projects that contain thousands of documents and coded data segments.
HPCC
HPCC is a big data tool developed by LexisNexis Risk Solution. It delivers on a single platform, a single architecture and a single programming language for data processing.
Features:
- It is one of the Highly efficient big data tools that accomplish big data tasks with far less code.
- It is one of the big data processing tools which offers high redundancy and availability
- It can be used both for complex data processing on a Thor cluster
- Graphical IDE for simplifies development, testing and debugging
- It automatically optimizes code for parallel processing
- Provide enhance scalability and performance
Features:
- It is one of the Highly efficient big data tools that accomplish big data tasks with far less code.
- It is one of the big data processing tools which offers high redundancy and availability
- It can be used both for complex data processing on a Thor cluster
- Graphical IDE for simplifies development, testing and debugging
- It automatically optimizes code for parallel processing
- Provide enhance scalability and performance