Azure Data Lake Storage

Stored Terabytes of Healthcare data in a cost-optimized solution on-cloud using Azure Data Lake Storage Gen2 in containerized fashion. We utilized Azure Data Lake Storage containers as a Destination in our Data Engineering Streasmets Pipelines. Loaded Data became available further to multiple downstream applications in an automated and faster way using Azure Data Factory. Also turned out a better, cost-optimized, and faster solution than HDFS for our different business use cases like the migration of huge data from RDBMS to Data Lake.

• Smooth Integration with other Azure Services i.e. Azure Databricks, Data factory, synapse, etc.
• Easy to access and Manage, Less maintenance required in comparison to traditional storage solutions
• Hadoop FIle System compatibility

• Data Migration projects from relational sources to Azure Data Lake Storage have given a great ROI, thanks to the less running costs, and High availability
• Pretty easy to work with in terms of Managing and accessing Data in containerized fashion.
• Further features like Archival of data which is accessed less frequently can significantly reduce cost

Apache Hadoop and Google Cloud Storage

Apache Kafka, Apache Hive, Apache Spark

We had all of our storage located within a single datacenter, which caused an issue should it go down. Azure Data Lake Storage allowed us to move some of the storage there, keeping that piece online and active if we lost communication to the main datacenter. It's nice, but not the most reliable.

• Azure AD integration
• Hierarchical file system
• Usage of Azure KeyVault for encryption keys

• Initial cost was reasonable compared to the previous solution we had in place
• An unforeseen growth rate is leading to a much higher cost than expected
• Transaction fees are higher than the previous solution we used

Amazon EMR (Elastic MapReduce)

Aruba ClearPass, Avaya Cloud Office, Zebra Desktop Printers

Overall it is easy to learn and would be useful for any home care service. Another thing that I like about it is that there is a phone call system where they help you with all the questions you may have. Audio and video calls are possible, with PC screen sharing its other systems

Allows saving documents for some members or sharing them in general channels

• Excellent tool replaces emails as a means of communication
• The different channels can be generated for each area or management of the company and other leisure channels.

• The cost can be high for more advanced work. In some cases, for instance, time limits and lab runtimes may be too short if you are too slow to learn what is explained as you go along.
• promote flexible team communication. You can create different spaces for different teams, and share files and tasks.

AbacusLaw, Bautomate, Avonbrook Fortuna DMS

We need to store large amount of data that flow daily from our processes as well from external APIs, and we need to keep them for long period of times to perform historical analysis for our clients. Azure Data Lake Storage helps us achieve this goal by providing a secure, fast and large data store for our needs.

• Deep integration within the Azure ecosystem, including C# libraries and Azure Synapse Analytics
• Solid internal knowledge
• It's a scalable platform that - contrary to a relational database - support rapid growth in data size without needing ever extensive maintenance

• Being a data company,Azure Data Lake Storage and our "data mart" is really the core of our business
• Migrating from a relational approach to Azure Data Lake Storage has a very short ROI thanks to the significant reduction of running costs
• The ability to move data in the Archive tier helps us to further reduce costs, when needed

Azure SQL Database

Azure SQL Database, Azure Synapse Analytics (Azure SQL Data Warehouse), Azure Service Bus, Azure App Service

Azure Data Lake is being utilized in a number of ways for our company, most of all tracking employee meal plans, and other analytical sales data. This is the best solution for our use case, and has worked extremely well. We love that it also integrates with Power BI, which our sales team and marketing folks use heavily.

• Unlimited Data Size
• Fault-Tolerant and Available
• Optimized for High-Speed Throughput
• True HDFS Compatibility

• Better sales metrics and data for accounting to review
• Improved storage capacity
• Security and compliance features are incomparable compared to similar solutions

AWS Data Pipeline