Knowledge Hut

NOVEMBER 28, 2023

Data Science is also concerned with analyzing, exploring, and visualizing data, thereby assisting the company's growth. As they say, data is the new wave of the 21st century. Data architects come into the list of well-paid professionals and are most sought after by top companies across various industries.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. How will data security be ensured?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Using Cloudera Data Platform.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Knowledge Hut

DECEMBER 29, 2023

Expertise in cybersecurity and related fields might benefit from professionals that focus on the data security elements of database administration. Companies must regularly check their data for accuracy since it is always evolving. It might also be industry-specific, such as the healthcare or financial industries, for example.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JULY 27, 2021

Data engineers and data scientists work very closely together, but there are some differences in their roles and responsibilities. Data Engineer Data scientist The primary role is to design and implement highly maintainable database management systems. How is a data architect different from a data engineer?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MAY 12, 2023

Unstructured data storage solutions must ensure data durability (protection against data loss) and availability (ensuring data is accessible when needed). That’s why there must be some sort of data replication, backup strategies, and failover mechanisms. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59