Knowledge Hut
APRIL 23, 2024
They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AltexSoft
FEBRUARY 11, 2023
In the EU, the General Data Protection Regulation (GDPR) sets guidelines for collecting, storing, and processing personal information. This privacy law must be kept in mind when building data architecture. It defines metrics and best practices to ensure data quality as well as data privacy and 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.
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.
DareData
JANUARY 30, 2023
For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).
AltexSoft
JUNE 26, 2023
From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. They can be accumulated in NoSQL databases like MongoDB or Cassandra.
Expert insights. Personalized for you.
52 
Let's personalize your content