Create your workflow and code easiest.
ONE TOOL for various big data framework
helps you harnessing the power of hadoop to accelerate data processing
The Fastest & Most Efficient Big Data Processing
HGrid247 is a visual data engineering tool runs on top of Hadoop platform, that enables data engineer to blend, cleanse and prepare data from various data types, including data at rest and data in motion.
Increase Your Productivity Using Graphical UI
HGrid247 with drag-and-drop interface allows users to easily design and program ETL workflows, save time and simplify the complexity of data integration.n.
Learn Once Build Anywhere
HGrid247 supports various big data frameworks like MapReduce, Spark, Storm, Flink and Tez. The tool gives you the same look and feel for different big data framework, makes it easier to migrate.
Break the Limitations
Unleash the Full Potentials
HGrid247 can be extended by using User Defined Function. Additional functionalities can be easily added as UDF in Java. Competence in other programming languages or scripts is not significantly required.
Gain Machine Learning Advantages
HGrid247 is not specialized in machine learning tools, but that does not mean you can’t have it. Build statistical and data mining models in your chosen tools, such as R, Weka, etc. export it to PMML and easily run them on data sets stored in Hadoop.
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any type of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. . Hadoop implements a computational paradigm called MapReduce, where the applications are grouped into a number of small fragments of work to process and generate large data sets. Furthermore, it provides a distributed file system (HDFS) that stores data on computer nodes. Both MapReduce and HDFS are designed so sophisticatedly that possible node failures are automatically handled by the framework. Solusi247 offers a solution called the HGrid247 Workflow Designer, which is a GUI tool that can help the user easily design workflows by using a drag-and-drop interface. HGrid247 automatically generates the MapReduce code which can be executed in a Hadoop cluster. In this way, the user does not need a high competence of Java code. According to a study performed by Gartner, 70% of traditional data warehouses are performance- and capacity-constrained. HGrid247 enables the user to easily extract, prepare, and analyze large datasets, and harness that information to create a true business advantage. The easy drag-and-drop interface and integrated tools will help you offload your data warehouse into Hadoop, making it possible to fully maximize your business potential. Lambda Architecture Support provides robust and reliable solutions for various use cases. Streaming process support enables you to implement real-time Hadoop and utilize the benefits for a true competitive advantage.
TEST & LEARN HOW HGrid247 WORK
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