Snowflake

AUGUST 21, 2023

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

AltexSoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Snowflake

FEBRUARY 27, 2023

. “We had two problems to address — a deterioration in the data quality and performance of our existing data warehouse; and increasing technical debt because there were just too many different tools being used. Data governance issues can then be addressed. What’s the SLA?

Cloud 52

Cloud Retail Data Warehouse Data 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . BigEval – Get the most professional tools to validate enterprise data and maintain a high level of information quality.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

ProjectPro

FEBRUARY 8, 2023

Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required. Data Governance Know-how of data security, compliance, and privacy. Focuses on ensuring data accuracy and quality for analysis. Focuses on building scalable and efficient data systems. PREVIOUS NEXT <

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Snowflake

JANUARY 23, 2023

External data sets are often acquired without knowledge of how they were created and are therefore subject to data quality problems. Many providers offer data clean rooms—a secure, governed way to collaborate and access sensitive data, without exposing it.

Data Integration 57

Data Integration Data Data Warehouse Business Analyst 57

AltexSoft

MAY 12, 2023

Application Programming Interfaces ( APIs ) enable the interaction between different software applications and allow for seamless data extraction from various sources, such as social media platforms, news websites, and other online services. Efficient access and retrieval of information. Data durability and availability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

JULY 26, 2023

From data architects to database administrators, we'll explore the skills, qualifications, and earning potential of each role, giving you the insights and information you need to make informed decisions about your career path. Managing and maintaining the company's database, which includes data entry, validation, etc.

Database 52

Database MySQL Certification SQL 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. 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.

Database 52

Database Certification MongoDB MySQL 52