Overview
Product Information on Azure Data Lake Store
What is Azure Data Lake Store?
Azure Data Lake Store Pricing
Overall experience with Azure Data Lake Store
“Scaling Efficiently: A New Era of Big Data Analytics Management”
“Good for Hadoop storage within Azure eco system but still lacks connectivity ”
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A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Azure Data Lake Store
Performance of Azure Data Lake Store Across Market Features
Azure Data Lake Store Likes & Dislikes
1. Rapid scaling up and down according to server utilization helps in cost management. 2. The data analytics capabilities of the platform are excellent in terms of both structured and raw data. 3. Seamless integration with Microsoft azure ecosystem ensures it works smoothly.
Its easily available with Azure workloads and being native makes performance better than outside hadoop implementation.
There are certain points which I like the most: Flexibility with data formats, Enterprise Grade security and Scalability with seamless integration with analytics tool .
1. Storage credits that remain cannot be transferred to the next cycle. 2. Data migration for larger files cannot be done in parallel processing batches. 3. Cost estimates provided initially were not fully accurate.
Connectivity to and from multiple non Azure sources and targets is very limited
The main downside of ADSL is its complexity in setup, Management, and cost optimization, which can be overwhelming for new users or small teams. while it excels for enterprises with experienced Azure professionals, organizations without deep azure expertise may find it challenging to maximize its potential.
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Azure Data Lake Store Reviews and Ratings
- Software Developer50M-1B USDSoftwareReview Source
Scaling Efficiently: A New Era of Big Data Analytics Management
Efficient and scalable platform for all our big data analytics needs. - SENIOR CONSULTANT1B-10B USDBankingReview Source
MS ADSL: A Flexible and Secure Solution for Big Data Analytics
I personally feel that MS ADSL is a scalable and secure cloud-based data storage service designed for big data analytics. It has seamless integration with other Azure data factory, Azure Databricks, Synapse Analytics and power BI makes it powerful choice for end-to-end data solutions. - MANAGER1B-10B USDBankingReview Source
Azure Data Lake Store : Managing and Storing Data.
Azure Data Lake Store easily scales to accommodate large volumes of data from various sources. It supports both structured and unstructured data. It simplifies data ingestion and processing with a straightforward interface. Basically it serves as a central repository for all data related to operations, sales, products and credit. - Data Scientist-Optimization1B-10B USDConsumer GoodsReview Source
Unleashing ADLS's Potential in Data Science and Big Data
ADLS has proven to be the backbone of all our data science projects be it inventory related, vehicle routing related or any machine learning project. It has helped us in establishing all the necessary big data capabilities and data warehousing capabilities effectively. It helps us with code level log analytics as well. - Process Associate50M-1B USDInsurance (except health)Review Source
Azure Data Lake Store for Managing and Analyzing large volume of data
Azure Data Lake Store is used for managing and analyzing large volumes of data. It uses hierarchical file system, which helps us in organizing data in a structured manner using directions. This enables more efficient data organization and management. It handles massive amounts of data, providing scalability to accommodate growing datasets. It also integrates with other Azure services. As it supports Hadoop Distributed File System (HDFS) and Azure Blob Storage, this ensures compatibility with a wide range of analytics and storage tools, enhancing interoperability.