Microsoft Azure Databricks features and reviews of 2020
Microsoft Azure Databricks big data analytics software helps users manage high-performance analytics with ease.
Microsoft Azure Databricks Big Data Analytics Software is an Apache Spark-based analytics solution that combines Big data analytics and Artificial Intelligence. This software helps users discover insights from their data and develop artificial intelligence solutions. Users can set up their Apache Spark environment rapidly and automatically scale. Plus, data engineers and data scientists can work in a collaborative workspace on projects using any tools.
Companies of different sizes, across multiple industries, use this software to enable data science and perform their data analytics. Azure Databricks Big Data Analytics Software supports programming languages like SQL, Scala, Python, Java, and R. Besides, users can access data science libraries and frameworks such as scikit learn, PyTorch, and TensorFlow.
Azure Databricks Big Data Analytics Software natively integrates with Azure Active Directory, which allows users to create an end-to-end modern data warehouse, real-time, and machine learning analytics solutions. This software uses the Azure Data Factory to ingest raw and structured data. Additionally, users can use Event Hub, IoT Hub, or Kafka to stream data in near real-time.
This software enables users to read data from different sources like Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, and Azure Blob Storage. Users can perform data analysis and processing for analytical and collaborative applications in real-time. Azure Databricks Big Data Analytics Software offers users a Machine Learning library that contains standard learning algorithms and utilities like regression, classification, dimensionality reduction, and clustering. Also, users can explore their data using graphs and visualizations.
Microsoft Azure Databricks Big Data Analytics Software integration with Power BI enables users to discover and share their data insights quickly. Users can use BI tools like Tableau Software via JDBC/ODBC cluster endpoints seamlessly on this software. Plus, Azure Databricks offers users enterprise-grade security to protect their business and data.
Microsoft Azure Databricks Big Data Analytics Software enables users to integrate with open source libraries seamlessly. With the availability and global scale of this software, users can build and spin clusters in the completely managed Apache Spark environment. Businesses can set up and configure the clusters to ensure its performance and reliability without needing monitoring. Besides, the autoscaling and auto-termination of this Apache Spark environment allow users to enhance the total cost of ownership.
Microsoft Azure Databricks Big Data Analytics Software enables team members to use the interactive workspace to collaborate effectively on projects. Business analysts, data engineers, and other data explorers can conveniently work together in a shared workspace using standard languages. Users can build using any language of their choice, including SQL, Python, R, and Scala. Also, the Azure Databricks Big Data Analytics Software allows users to use Azure DevOps and GitHub to get easy version control of notebooks.
Microsoft Azure Databricks Big Data Analytics Software offers users access to advanced automated machine learning capabilities. Users can use this software's functionality to identify hyperparameters and algorithms quickly. This software allows users to streamline the monitoring, updating, and management of machine learning models deployed to the edge from the cloud.
The Machine Learning integration enables developers and data scientists to process data and drive predictions for intelligent applications with ease. This software allows users to integrate with different data stores and deploy models in multiple environments. Additionally, the Azure Databricks Big Data Analytics Software offers users a central registry for thier machine learning pipelines, models, and experiments.
Microsoft Azure Databricks Big Data Analytics Software allows users to modernize their cloud-based data warehouse for high performance and scalability. Users can combine data at any scale, and use operational reports and analytical dashboards to get insights on their data. This software integrates with Azure Data Factory that automates data movement, and Azure Data Lake Storage for data loading. Plus, the Azure Databricks Big Data Analytics Software enables users to clean and transform their data, and it integrates seamlessly with Azure Synapse Analytics for data analytics.
Microsoft Azure Databricks Big Data Analytics Software offers users enterprise-based security and compliance. Businesses can use this software's integration with Azure Active Directory to limit data access to users with specific roles. Users can use configurable virtual networks to develop a secure architecture without compliance compromise. Besides, the Azure Databricks Big Data Analytics Software provides users with fine-grained user permissions for data, jobs, clusters, and notebooks.
Microsoft Azure Databricks Big Data Analytics Software allows users to work on big data pipelines. Users can ingest data in batches via Azure Data Factory or stream it using IoT Hub, Kafka, and Event Hub in near real-time. This software allows users to read data from different data sources like Azure Blob Storage, Azure Cosmos DB, or Azure SQL Data Warehouse as a part of their analytics workflow. Also, the Azure Databricks Big Data Analytics Software offers users full open-source Apache Spark cluster technologies.
Microsoft Azure Databricks Big Data Analytics Software provides Apache Spark-based components to users. This software integrates with Kafka, Flume, and HDFS, and it offers users real-time data analysis and processing for analytical applications. Users can visualize their explored and analyzed data in the form of graph computations and graphs. Additionally, this software offers data engineers fast performing data optimizations.
Microsoft Azure Databricks Big Data Analytics Software provides a zero management cloud platform for users to explore and visualize data. This software offers users completely managed, reliable, and secure Apache Spark clusters in the cloud. Users can use REST APIs to use clusters programmatically. There is no need for specialized data analytics expertise for users to configure and set up their data infrastructure on this software. Plus, the Azure Databricks Big Data Analytics Software simplifies the process of data exploration, prototyping, and generation of data-backed applications.
Azure Databricks Big Data Analytics Software focuses on helping business analysts, data engineers, and data scientists with their data analysis needs. This software allows users to develop Artificial Intelligence solutions and discover insights from their data with ease. Users can use the interactive workspace and simplified workflows to collaborate on shared projects. Azure Databricks allows users to deploy machine learning models from the cloud to the edge.