Azure data analytics features
New Microsoft Azure Data Analytics and Management Features Big data and data analytics are essential topics today for businesses that collect and analyze massive amounts of data every day.
Microsoft recently announced two new tools on Azure to manage and analyze these data streams: Azure Data Explorer (ADX) and Azure Data Lake Storage Gen2 (ADLS Gen2). Both services are now widely available, and this provides an excellent opportunity to get to know them better.
1. Azure Data Explorer (ADX) – Real-time Data Analysis Tool Azure Data Explorer (ADX) is a fully managed database service designed for real-time analysis of large amounts of streaming data.
Some key features of ADX include:
– Real-time Analysis: ADX can perform immediate analysis on streaming data without prior preprocessing. This enables quick insights without expensive on-premise hardware.
– Performance: Microsoft claims ADX can analyze a billion streaming data records per second.
– Connectors: ADX provides integration with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Power BI. This makes it easy to combine and analyze data from different sources.
– Intuitive Query Language: The user-friendly query language enables business experts to perform their own analyses, which is in line with the trend of citizen data scientists.
2. Azure Data Lake Storage Gen2 (ADLS Gen2) – Data Management Solution Azure Data Lake Storage Gen2 (ADLS Gen2) is a data management solution designed to store both structured and unstructured data.
The key features of ADLS Gen2 are:
– Hadoop compatibility: ADLS Gen2 is compatible with Hadoop Distributed File Systems, which facilitates integration with existing big data solutions.
– Data Management: It helps companies manage and utilize the explosive growth of their data by providing a scalable cloud environment.
– Integration with Analytics: ADLS Gen2 is designed for use with analytics applications such as Power BI and Azure SQL Data Warehouse. This makes it easier for business analysts to work with the data.
– Advanced Tools: Data scientists and engineers can process the data with advanced tools such as Azure Machine Learning and Databricks, expanding the possibilities for in-depth analysis and machine learning.
New Step in Azure Big Data Support With the addition of ADX and ADLS Gen2 to their portfolio, Microsoft offers even more powerful tools for big data applications. These are exciting times for big data experts working with Microsoft Azure.
The new tools make it easier to perform real-time data analysis and manage large amounts of data efficiently.
Conclusion Microsoft Azure continues to innovate and expand with new features that help businesses manage and analyze their data. The introduction of Azure Data Explorer and Azure Data Lake Storage Gen2 strengthens their position as a leading cloud provider in big data and data analytics. For big data professionals, this presents new opportunities to expand their skills and extract even more value from their organization’s data.
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