In big data era, data is flooding in at unparalleled, inflexible rate making collection and processing of data a bit hard and unmanageable without using appropriate data handling tools. Selecting the correct tool to meet the current as well as future requirement is a heavy task, and it became...
Big Data Experience the power and flexibility of a Big Data service that's built on OpenStack Sahara. Take control of your data processing and analytics with a platform designed for high performance, scalability, and efficiency. Enjoy seamless integration with a variety of tools and take your ...
Adastra provides comprehensive Big Data services including data architecture design, platform development, data integration, analytics, and optimization solutions tailored to client needs. Our expertise spans from data ingestion to visualization, ensuring end-to-end support for Big Data initiatives. How do...
Big Data processing & warehousing Implement Big Data tools and techniques that help process vast volumes of data in real time as well as extract better insights from data at-rest. Design and set up data warehousing infrastructure to support the unique structure and lifecycle of your business data...
Apache Flume is a tool/service/data ingestion mechanism for collecting aggregating and transporting large amounts of streaming data such as log files, events (etc...) from various sources to a centralized data store. Flume is a highly reliable, distributed, and configurable tool. It is principal...
We distinguish various visualization tools pertaining three parameters: functionality, analysis capabilities, and supported development environment. Furthermore, we systematically investigate big data tools and technologies (Hadoop 3.0, Spark 2.3) including distributed/cloud-based stream processing tools in a ...
The classical definition of Big Data is emphasized in the so-called 3 Vs of Big Data: Volume –when you have a big amount of data to store and/or process – on the Tera/Peta/..-byte scale. Velocity –when the speed of processing and sub-second latency from ingestion to serving matter...
Hudi stores all data and metadata on cloud storage in open formats, providing the following features across different aspects. Ingestion Built-in ingestion tools for Apache Spark/Apache Flink users. Supports half-dozen file formats, database change logs and streaming data systems. ...
Build a scalable foundation for your analytics Ingest data at scale using a wide range of data ingestion tools. Process data using Azure Databricks, Azure Synapse Analytics, or Azure HDInsight. And visualize the data with Microsoft Power BI for transformational insights....
Data Ingestion Ingest data into Hadoop Infrastructure Data Processing Processing Big data using ETL tools, Pig etc., Data Lake Design Data Lake on-cloud and on-premise Data Analytics Discover Insights using Spark, Mahout, R, Azure ML, Microsoft R Data Visualization Visualize Big Data IoT...