DBTA 100 2024: The Companies That Matter Most in Data
Jun 6, 2024 · To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers. Spanning the wide range of established legacy technologies from MultiValue to cutting-edge breakthroughs such as the data lakehouse, data mesh, and data fabric, the ...
DBTA 100 2023: The Companies That Matter Most in Data
Jun 7, 2023 · The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with ...
DBTA E-Edition - DBTA 100 2024 - Database Trends and Applications
Trends and Applications. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers. Spanning the wide range of established legacy technologies from MultiValue to cutting-edge ...
DBTA 100 2022: The Companies That Matter Most in Data
Jun 8, 2022 · Today, data-driven benefits abound. However, the ability to seize new business opportunities, create new products, and deal effectively with competitive issues requires strong data management and analytics capabilities. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to ...
Data and Information Management, Big Data, Data Science
Building Modern Data Pipelines Using dbt—Tips and Tricks. Move to the Cloud, AI and Machine Learning, DevOps, and Data Governance: Four Trends that Defined 2023. Database Trends and Applications delivers news and analysis on big data, data science, analytics and the world of information management.
Database Management News, Trends, Analysis - Database …
5 days ago · Database Management. Relational Database Management Systems (RDBMSs) continue to do the heavy lifting in data management, while newer database management systems are taking on prominent roles as well. NoSQL database systems such as Key-Value, Column Family, Graph, and Document databases, are gaining acceptance due to their ability to handle ...
DBTA Readers' Choice Awards - Database Trends and Applications
Jun 10, 2024 · DBTA Readers' Choice Awards 2024 Vote Now for the DBTA Readers' Choice Awards. It's time to vote for the best companies, solutions, and products for the annual Database Trends and Applications Readers' Choice Awards, a competition in which the winning information management solutions, products, and services are selected by you, the readers.. The voting period will be open through Monday, June ...
DBTA 100 2021: The Companies That Matter Most in Data
Jun 9, 2021 · The past 15 months have provided an object lesson for all organizations in the importance of being agile and moving quickly to address new challenges and opportunities. The COVID-19 pandemic created even greater urgency to better manage and extract valuable insights from data for companies that were already dealing with expanding regulatory pressures, new data security risks, and burgeoning ...
Data and Information Management, Big Data, Data Science
Building Modern Data Pipelines Using dbt—Tips and Tricks. Move to the Cloud, AI and Machine Learning, DevOps, and Data Governance: Four Trends that Defined 2023. Database Trends and Applications delivers news and analysis on big data, data science, analytics and the world of information management.
From data professionals to AI champions: Cultivating AI fluency
5 days ago · Get started with our eBook, “AI Fluency: Turning Data Professionals into Value-Driving AI Champions.”. You’ll learn: Artificial intelligence (AI) fluency, deeply rooted in robust data literacy, is increasingly critical. In fact, 60% of survey participants cite limited skills and resources as a barrier to AI success, and 82% of leaders say ...