Azure Data Fundamental

The Fun Fact about the data When we build anything, we use data. Start from structured data, unstructured data, and semi-structured data we store the data to retrieve it as information and knowledge. Despite of the data usage, we know that the data in our life is growing. And when we can't store the data in the local storage the cloud is the answer. The question is how we store and manage the data in the cloud. This article will discuss how we store and analyze the data in the cloud era. You can read the data concept here The Data Store You can store the data in two types relational data or non-relational data. In non-relational data you will have Azure Cosmos DB, File, Blob, and many more. You can learn more here In relational data you will have the power of SQL Azure, as well as MySQL, Maria DB and any others database. You can learn more here. If you need high volume transaction without than the Non-relational data is for you. However, for small and tight relation between data you need the relational database such as SQL Server. You can learn more the consideration here. The Data Analytics medianet_width = "600"; medianet_height = "250"; medianet_crid = "858385152"; medianet_versionId = "3111299"; After the data is stored, you can analyze the data for more useful manner. This step knowns as analytics. According to Microsoft they have several products which are? Azure Data Factory who take any data and convert it into format that you need. The ETL process heavily happen in this Azure Data Factory Azure Data Lake who store raw data to ready to retrieve as fast as it can. Azure Data Lake is the main storage for Azure Data Factory Azure Databricks is a tool to provide big data processing, streaming, and machine learning. It can use data lake as a data source Azure Synapse Analytics is an analytics engine. It is designed to process large amounts of data very quickly. Azure Synapse Analytics supports two computational models: SQL pools and Spark pools. Azure Analysis Services enables you to build tabular models to support online analytical processing (OLAP) queries. You can combine data from multiple sources from the data lake, cosmos DB, and off course SQL Azure Azure HDInsight is a big data processing tool based on well-known platform Hadoop.   You can learn more about analytics here. After you have analytics you can pull it into dashboard or report by using Power BI. medianet_width = "600"; medianet_height = "250"; medianet_crid = "858385152"; medianet_versionId = "3111299";

Data Culture Transformation with Power BI

I delivered Tech Talks event in 21 June 2019. The topic of the event is about Data Culture transformation. It is attended by 68 registered participants from university and IT professional. i discussed about three main topics How Power BI shifts the data visualization for the end user  How data culture transformation helps the organization to get the insight from the data How the organization improves their rapidness by using content pack, app workspace, and others medianet_width = "600"; medianet_height = "250"; medianet_crid = "858385152"; medianet_versionId = "3111299"; you can see the slides here Power bi data culture from Ridi Fe

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About @ridife

This blog will be dedicated to integrate a knowledge between academic and industry need in the Software Engineering, DevOps, Cloud Computing and Microsoft 365 platform. Enjoy this blog and let's get in touch in any social media.


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