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Azure HDInsight is being used across the whole organization in 3 countries that work together. The solution is that the organization pay for what they use.
- It's scalable.
- It's from Microsoft so it's friendly to use.
- Data is available when you need it.
- Performance with high volume of data.
October 19, 2020
Azure HDInsight is used for managing data processing at TechnipFMC. Being a big company managing the data of thousands of users and customers is always a challenge. We can now access the past data and present data without being dependent on a hard drive or on some other PC.
- Data is presented without interfering others (IT or other dept).
- Data is managed properly and is available for retrievable any time.
- Legacy use of CD/DVD and Pendrive are not required.
- Sometimes, lower bandwidth faces some issues (Slow speed)
- Something can be done about lower bandwidth capability as higher bandwidth may not be available at all the places.
- But improvement will be there in the above capability I am sure as the technology evolves.
It is currently being used as a cloud service to process large amounts of data. We can choose from a wide variety of open-source frameworks like Spark, Hadoop, R, Hive, etc. Our team uses these tools to perform ETL, Data Warehousing, etc. Both historical and real-time data can be processed. Azure Machine learning can also be used on top of these to extract meaningful information from data.
- It is low cost and scalable.
- Almost 99 percent SLA at large scale.
- Transparent data encryption for end to end security.
- More than 30 popular applications to choose from. These can be deployed to the cluster within minutes.
- Spark version is old and crappy.
- Lack of integration with other Azure platforms.
- There is more room for improvement in workload based scaling.
- Not easy to use. Log report hardly shows anything and the interface is not user friendly.
September 29, 2020
HDInsight is used to help the Sales Department with processing analytics and managing large data. It is utilized by the Advertising and Sales Team and it addresses the problems of overall cost spend in google analytics. We definitely use the powerful query to translate high volume data into Excel in our company. The best thing is the high availability of Microsoft. Azure HDInsight makes it very easy to work with large scale data workloads in Hadoop, and it gives good benefits working on the top of the Azure data lakes.
- Promote things that needed to be on top.
- Current analytics changes.
- As it's from Microsoft, it has high availability and support from Microsoft.
- Easy transformation of high volume data.
- Performance issue with large volume data.
- Cost
September 21, 2020
It was used to create and manage Hadoop instance. Extracting undiscovered information from big quantities of unstructured data was easy. The Hadoop cluster was built within minutes.
- The Hadoop cluster was built within minutes.
- It is cost-effective to collect and store structured or unstructured data.
- The flat network storage system technology offers a high-speed connection between nodes and blob storage system.
- Had issues while using Azure ARM Templates for deployments.
- The cost structure suited for high end temporary data analytics, rather than a traditional frequently queried data warehouse.
HDInsight is being used with a company I currently consult for. Their marketing department needed help with analytics and managing large files/data and processing it all. It is only being utilized by the advertising and marketing department and it addresses problems that arise when we spend large amounts of money on Google Analytics, Facebook, Instagram, etc., and want to allocate the expenses.
- Shows live changes in analytics. Shows you how social media is working for us. Since we promote weekly events this is something that we really need to pay attention to.
- Azure in itself is very user-friendly, HDInsight is a great addition. For our purposes, we definitely also utilized the power query to translate data to Excel.
- The only problem I have come across is when loading large volumes of data I sometimes get an error message, I assume this means something is corrupt from within. I would love a way for this to be resolved without having to start over.
Azure HDInsight Scorecard Summary
What is Azure HDInsight?
HDInsight is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform: It is based on the Hortonworks Hadoop distribution.
Microsoft Azure HDInsight includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, etc. It also integrates with with business intelligence (BI) tools such as Power BI, Excel, SQL Server Analysis Services, and SQL Server Reporting Services.
Microsoft Azure HDInsight includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, etc. It also integrates with with business intelligence (BI) tools such as Power BI, Excel, SQL Server Analysis Services, and SQL Server Reporting Services.
Categories: Hadoop-Related
Azure HDInsight Technical Details
| Operating Systems: | Unspecified |
|---|---|
| Mobile Application: | No |
Frequently Asked Questions
What are Azure HDInsight's top competitors?
Databricks Lakehouse Platform (Unified Analytics Platform), Azure Synapse Analytics (Azure SQL Data Warehouse), and Apache Spark are common alternatives for Azure HDInsight.
What is Azure HDInsight's best feature?
Reviewers rate Usability and Support Rating highest, with a score of 8.2.
Who uses Azure HDInsight?
The most common users of Azure HDInsight are Enterprises from the Unknown industry.