Data Governance Data Security NoSQL Unstructured Data 
Knowledge Hut
JULY 24, 2023
It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses.
Knowledge Hut
JUNE 23, 2023
Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling.
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AltexSoft
FEBRUARY 11, 2023
If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data. This privacy law must be kept in mind when building data architecture.
Knowledge Hut
NOVEMBER 7, 2023
Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. This ensures the backup procedure and data security.
Knowledge Hut
MARCH 26, 2024
Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.
Knowledge Hut
SEPTEMBER 6, 2023
Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Skills acquired : Core data concepts. Data storage options. Now, it's different.
Databand.ai
DECEMBER 13, 2022
Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). He is constantly seeking out knowledge and being excited by the challenge of learning something new in the data science space.
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