Analytics Book Data Analytics Data Enablement 
AWS Big Data
MARCH 25, 2024
Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. To better understand this, imagine a chatbot that helps travelers book their travel. This use case fits very well in the streaming analytics domain.
Jet Global
OCTOBER 8, 2020
Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 3: Make decisions with operational data.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
FEBRUARY 25, 2021
New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. Then, in 2021 you need to be outstanding and stick in their mind from the very first moment and through every action they take on your website.
AWS Big Data
SEPTEMBER 29, 2023
XML files are well-suited for applications, but they may not be optimal for analytics engines. In order to enhance query performance and enable easy access in downstream analytics engines such as Amazon Athena , it’s crucial to preprocess XML files into a columnar format like Parquet. xml and technique2.xml.
Smart Data Collective
MARCH 22, 2023
And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.
Jet Global
AUGUST 12, 2022
This eliminates multiple issues, such as wasted time spent on data manipulation and posting, risk of human error inherent in manual data handling, version control issues with disconnected spreadsheets, and the production of static financial reports.
Jet Global
MAY 9, 2024
A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.
Expert insights. Personalized for you.
87 
Let's personalize your content