Maria's journey in the data fields

  Azure CosmosDB is a modern distributed data store that can handle any data volume, any data velocity ( data arrival speed) and any data variety (different types of data). CosmosDb requires minimal setup and management efforts. It is very easy to integrate CosmosDB into your existing data infrastructure using various APIs that can either mimic your existing data management systems, like MongoDB, PostgreSQL or Cassandra and provide you with under 10s latency from anywhere, 99.999% availability and instant scalability. From the cost perspective, storage costs and utilization costs are almost the same regardless of which API you are planning to use. There is neither an autoscale nor serverless option for PostgreSQL API. Serverless NoSql API,  Serverless   Gremlin API,  Serverless  MongoDB API,  Serverless  Cassandra API and Serverless Table API are available as only as Single Region write architecture. If you are interested in Multi-region write clu...

Data management tools are evolving at a great speed, and this can be overwhelming. Data volumes and variety evolve and grow as well. Data Engineers are required to transform those waterfalls of data into business insights. The data is arriving from a vast range of sources, like social-media networks, 3rd party partners or internal micro services. If you are experienced SQL Server DBA, you know how versatile the product is. It is very tempting and feels correct to use the tool that you know the best. We can use SQL Server for almost any data management task. We can use SQL Server to watch over the storage for a new unprocessed files. We can load the raw data into SQL Server Staging Area SQL Server database. We can efficiently clean, enrich and aggregate the data using highly expensive relational database resources (even if you are not using SQL Database in the cloud, every Enterprise edition core still cost about $7K) SQL Server Relational engine high cost echoes the product complex...