Anacav technology helps you to fully control your business using big data so that it is possible to store and analyze big data optimally using a data lake. Our experts at Anacav will help you manage your data best using the Anacav data lake so that your costs decrease and your income increases significantly.
A data lake is a modern data-driven design pattern used to store a wide variety of old and new data types at scale. By definition, a data lake is optimized for the rapid storage of raw data along with data processing for discovery, analysis, and operations.
Global data lake applications:
- Multi-channel marketing
- Streaming data, such as data from sensors and the Internet of Things
- Financial fraud and risk analysis
- Possibility of storage, simultaneous analysis of all types of data, including structured, semi-structured and unstructured
- Analysis of various server logs
- Optimal data archive
Uses of the data lake:
- Energy (water, electricity, fossil fuels, etc.)
- Various industries (agriculture, steel, automotive, textile, etc.)
- Mines (copper, iron, aluminum, etc.)
- Media and entertainment
- Health and medicine
- banks
- Government
- Transportation
Advantages of Anacav Data Lake:
- Advanced analysis
- Using big data to increase business value
- Modern data warehouse
- Store data with a different structure
- Large-scale data storage
- Storing all types of data in one place
- Define the data structure at the time of use
- Discover new insights and opportunities
- Data preparation and analysis
- Creating the right environment for competition in analysis
- Analytics with all data (both old and new data provide a complete view of the customer.)
- Real-time processing
- Security
Data lake value:
Cost reduction: the use of cost-effective servers and the scalability of servers has significantly reduced costs
Optimization: storing structured, semi-structured, and unstructured data in one place increases productivity for data processing in one place.
Creation of new opportunities: By creating a suitable environment and a modern management dashboard for batch and momentary processing, Lee increases diversity in analysis.
Lake Data Anacav architecture
Integration: using big data transfer tools such as Flume and Sqoop to move data from the existing system to the lake
Storage: the ability to store structured and unstructured data using tools such as HBase and the ability to access data using Hadoop’s dedicated file system quickly
Processing engine: processing and extracting knowledge using powerful processing engines such as Spark and Hive and increasing the processing speed up to 10 times by using the in-memory processing approach
Kalan Dade Pooyan Novin Company, under the brand name Anacav, has a young and expert team of graduates from the best universities in Iran and the world. After overcoming many challenges, this young team succeeded in designing and preparing Anacav Data Lake. This product can help the managers of large economic enterprises and organizations manage big data, from the optimal storage of data types to the management analyses appropriate to the same enterprise or organization, in such a way that managers can make better strategic decisions in line with their goals after seeing the facts that big data reveals from different layers of their business.
