Category Archives for data-engineer

ADF

๐‡๐จ๐ฐ ๐“๐จ ๐‚๐จ๐ฉ๐ฒ ๐๐ข๐ฉ๐ž๐ฅ๐ข๐ง๐ž ๐ˆ๐ง ๐€๐ณ๐ฎ๐ซ๐ž ๐ƒ๐š๐ญ๐š ๐…๐š๐œ๐ญ๐จ๐ซ๐ฒ

โœ… Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. โœ… A pipeline is a logical grouping of activities that together perform a task. The pipeline allows you to manage the activities as a set instead […]

Read More

Structured Streaming With Azure Event Hubs

In this blog, we are covering Structured Streaming, Events Hubs, Streaming With Event Hubs What Is Structured Streaming Apache Spark Structured Streaming is a fast, scalable, and fault-tolerant stream processing API. You can use it to perform analytics on your streaming data in near real-time. With Structured Streaming, you can use SQL queries to process […]

Read More

Encryption With Azure Synapse Analytics

In this blog, we are going to cover Azure Synapse Encryption, Column and Row-level Security In Azure Synapse Analytics, and Use Azure Key Vault for secrets when creating Linked Services Azure Synapse Analytics (ASA) is a powerful solution that handles security for many of the resources that it creates and manages. In order to run […]

Read More

Azure Synapse Link | Hybrid Transactional Analytical Processing

In this blog, we are going to cover Azure Synapse Link, Azure Synapse Link for Cosmos DB, Benefits, HTAP Scenarios, Security, and its limitations. Azure Synapse Link is a cloud-native hybrid transactional and analytical processing (HTAP) capability that enables near real-time analytics over operational data in Azure Cosmos DB. Azure Synapse Link creates a tight […]

Read More

Reading and Writing Data In DataBricks

In this blog, we are going to cover Reading and Writing Data in Azure Databricks. Azure Databricks supports day-to-day data-handling functions, such as reading, writing, and querying. Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks offers three environments for developing data-intensive applications: Databricks SQL, Databricks Data […]

Read More
AzureSynapse_BlogImage-1

๐๐ซ๐ข๐ง๐  ๐˜๐จ๐ฎ๐ซ ๐ƒ๐š๐ญ๐š ๐ญ๐จ ๐€๐ณ๐ฎ๐ซ๐ž ๐’๐ฒ๐ง๐š๐ฉ๐ฌ๐ž

๐Ÿš€ Over the last few decades, data has been the backbone of many of the world’s most successful businesses. You can now import data from a variety of sources into Azure Synapse using a variety of methods and begin analysing your data right away. ๐Ÿš€ Data ingestion is one of the most important components of […]

Read More
SQL_BlogImage

A Beginnerโ€™s Guide to SQL Commands: DDL, DML, DCL, & TCL

๐Ÿš€ It’s no secret that SQL is a declarative language with a strong focus on outcomes. Of course, it’s also accessible, efficient, and simple to learn, giving it a leg up on many of its programming language competitors. ๐Ÿš€ Because of these advantages, SQL makes establishing and working with databases a breeze, which is aided […]

Read More

Structured Streaming With Azure DataBricks

In this blog, we are going to cover Structured Streaming with Azure Databricks, Streaming concepts, Event Hubs, and Spark Structured Streaming and Perform stream processing using structured streaming. Apache Spark Structured Streaming is a quick, versatile, and fault-tolerant stream handling API. You can utilize it to perform analytics on your streaming information in real-time. With […]

Read More

A Beginnerโ€™s Guide to Preprocess and Handle Data in PySpark | Azure DataBricks

โžฝ PySpark is a tool developed by the Apache Spark Community to facilitate Python with Spark. โžฝ With the use of PySpark, one can integrate and work efficiently with Resilient Distributed Datasets (RDDs) in Python. โžฝ Numerous features make PySpark an excellent framework as it facilitates working with massive datasets. โžฝ PySpark provides libraries of […]

Read More
1 2 3