What is Azure Data Lake? | How to use Azure Data Lakehouse | K21Academy

𝐖𝐚𝐭𝐜𝐡 𝐎𝐮𝐫 𝐅𝐑𝐄𝐄 𝐂𝐋𝐀𝐒𝐒 𝐎𝐧 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 [𝐃𝐏-𝟐𝟎𝟑] & 𝐐/𝐀

📌 An Azure data lake includes scalable, cloud data storage and analytics services. Azure Data Lake Storage enables organizations to store data of any size, format and speed for a wide variety of processing, analytics and data science use cases.

📌A data lakehouse is a data solution concept that combines elements of the data warehouse with those of the data lake.

📌Data lakehouses implement data warehouses' data structures and management features for data lakes, which are typically more cost-effective for data storage.

𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞

1️⃣Concurrent reading and writing of data

2️⃣Schema support with mechanisms for data governance

3️⃣Direct access to source data

4️⃣Separation of storage and compute resources

5️⃣Standardized storage formats

6️⃣Support for structured and semi-structured data types, including IoT data

7️⃣End-to-end streaming

𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞

1️⃣Less time and effort administrating

2️⃣Simplified schema and data governance

3️⃣Reduced data movement and redundancy

4️⃣Direct access to data for analysis tools

5️⃣Cost-effective data storage

Do not forget to REGISTER for the FREE CLASS On 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 [𝐃𝐏-𝟐𝟎𝟑] & 𝐐/𝐀

#Azure #DataEngineer #DP203 #MicrosoftAzure #AzureSynapseAnalytics #Synapsespark #AzureSQL #CosmosDB #SQL #NOSQL #DataLake #DataWarehouse #BigData #DataFactory #Apache #Spark #Data #DataFrames

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