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Best Online data management platform for AIML
What do you like best about the product?
With datbricks we can manage our all data without any hassle and also they have number of certification courses that provide full guides and new technologies knowledges in affordable and cheap price. Their ease to use interface make them reliable and ease to implementation.
What do you dislike about the product?
With Databricks we get a support inour carrer with their AIMLlearning platform and also they have best tools and integration where we can manage all the data very easily and use them frquently on daily basis.
What problems is the product solving and how is that benefiting you?
Overall with Databricks we can workonmultiple techonolgies related Big data or data science. They have option for ETL and data warehouses and also they have MLOps Platform where we learn new technologies. Their user dashboards and interface make them more reliable and ease to use for us.
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Best ETL tool for Data Engineers
What do you like best about the product?
Very fantastic and great platform for data management solution. They have very reliable tools and features that make my work more easier and also their ease to implement features gives reliable and frequent result as we want.
What do you dislike about the product?
Thei integartion is very supportive and good in use. Databricks have the best user interface where we experience reliable and secure platform for data mangement.
What problems is the product solving and how is that benefiting you?
Databricks is the most useful platform for big data analysis and also we can learn more about machinelearning with their ML section where we can develop number of projects very easily. Databricks have option of data warehouse and ETL tool and also their secure platform gives a reliable services.
Lead Developer
What do you like best about the product?
its good tool to load data and extracts everyday
What do you dislike about the product?
it is little bit expensive for spark cluster and their applications
What problems is the product solving and how is that benefiting you?
their way of data governance and everything in the same place
services are easy to implement at scale
What do you like best about the product?
I like the Delta lake model, cool features are incremental data updates, change data capture, and streaming data can be done under the hood.
What do you dislike about the product?
sharing the data out of azure has some limitations.
What problems is the product solving and how is that benefiting you?
building data lake using delta lake. Storing wide variery of data and applying data cleaniess, and performing aggregations as needed.
High speed Data Management tool
What do you like best about the product?
Databrics givs a very high speed and effective experienceto manage the huge data without any complexcity. They have number of features and ease to use interface that make them very reliable and user friendly.
What do you dislike about the product?
We use databrics frequently in our company for data mangement.Their ease to use interface gives hassle free solution and great customer suport. We can very easily implement their templates and custom dataset to integrate our project and work on them.
What problems is the product solving and how is that benefiting you?
It is the best ETL tool and their pipelines make the data very friendly and ease to manage. They have multiple features like data warehouse, big data analysis and MLOps platforms etc. Their echo friendly system make them more useful and user friendly data management solution for us.
Leveraged the Databricks Data Intelligence Platform for streamline data processing and analytics.
What do you like best about the product?
What I like best about Databricks Data Intelligence Platform:
The seamless integration of big data and machine learning workflows, enabling efficient data processing, collaborative development, and scalable analytics in a unified environment
There are numerous upsides but I will go with my top THREE:
1. Scalability: Automatically scales resources to handle large data volumes efficiently.
2. Collaborative Environment: Supports collaborative development with shared notebooks and real-time co-authoring.
3. Unified Analytics: Combines data engineering, data science, and machine learning in a single platform.
The seamless integration of big data and machine learning workflows, enabling efficient data processing, collaborative development, and scalable analytics in a unified environment
There are numerous upsides but I will go with my top THREE:
1. Scalability: Automatically scales resources to handle large data volumes efficiently.
2. Collaborative Environment: Supports collaborative development with shared notebooks and real-time co-authoring.
3. Unified Analytics: Combines data engineering, data science, and machine learning in a single platform.
What do you dislike about the product?
I can only suggest a more robust and technical customer support.
What problems is the product solving and how is that benefiting you?
Several problems are solved but I will limit my response to three:
1. Complex Data Processing: It simplifies the handling of large and complex datasets by leveraging Apache Spark, enabling faster data processing and analysis.
2. Unified Environment: It provides a unified platform for data engineers, data scientists, and analysts to collaborate seamlessly on data projects, reducing silos and improving productivity.
3. Scalability: The platform automatically scales resources based on workload demands, ensuring efficient resource utilization and performance even with varying data volumes.
1. Complex Data Processing: It simplifies the handling of large and complex datasets by leveraging Apache Spark, enabling faster data processing and analysis.
2. Unified Environment: It provides a unified platform for data engineers, data scientists, and analysts to collaborate seamlessly on data projects, reducing silos and improving productivity.
3. Scalability: The platform automatically scales resources based on workload demands, ensuring efficient resource utilization and performance even with varying data volumes.
Databricks platform
What do you like best about the product?
Databricks is a platform where we can implement our spark and ml logics for all our data engineering, analysis and ml workloads with ease
What do you dislike about the product?
There's nothing such but we can have more pipeline kind of things added
What problems is the product solving and how is that benefiting you?
We get everything under a single platform we can say
it has made the integration with different sources hassel free and we can more focus on data
What do you like best about the product?
ease of use ,ease of integration,variert of features which are added often to improve user experiences,Assistant AI
What do you dislike about the product?
sometimes the error is not accurate hence debugging takes time,
ai assistant also provide incorrect suggestion few times
ai assistant also provide incorrect suggestion few times
What problems is the product solving and how is that benefiting you?
Databricks is solving the problem of processing huge data through parallel processing,also with help of unity catalog we can maintain the governance and integrity of data,as the features are easy to use we can focus on data and decisions.
The new era of Databricks Data Intelligence Platform for all the AI solutions
What do you like best about the product?
Databricks has come up with innovative idea to streamline the idea of creating new solutions that helps the customer leverage their business with their vast services they provide whether it's a retail or fintech, they provide with upbringing and transforming with the public sectors. It has an ease of implementation and integration.
What do you dislike about the product?
There are no dislikes about the Data Intelligence Platform.
What problems is the product solving and how is that benefiting you?
Databricks is revolutionizing the modern industry. As an academia I mostly work to research and build products with Databricks Data Intelligence Platform.
Complete platform but a bit confuse
What do you like best about the product?
The ease of use and the number of tools available. Without much knowledge, it is very easy to start generating value with little understanding of the tool.
What do you dislike about the product?
The usability its a bit confuse. The are a lot of amazing tools but, maybe, the best practices it's a bit confuse to deploy, however, there are a lot of knowledge outside (provided by themshelves or google)
What problems is the product solving and how is that benefiting you?
Data Intelligence Plataform is solving usability of new features and implementation.
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