Remove Business Intelligence Remove Data Engineering Remove Database Administration
article thumbnail

Data Summit 2023 Event Recap

Datavail

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

article thumbnail

Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

Data models translate business rules defined in policies into an actionable technical data system, Source: Global Data Strategy. Database administration: maintaining data availability. Specialist responsible for the area: database administrator. Data security: preventing data breaches.

article thumbnail

Most Popular Big Data and Data Science Development Services

KitelyTech

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

article thumbnail

Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. Data engineer. Data scientists.