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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. Ruparupa has hired new personnel to join the data analytic team to explore new possibilities and new use cases.

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. Analyzing XML files can also help in data integration, because many applications and systems use XML as a standard data format. xml and technique2.xml.

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Data-driven competitive advantage in the financial services industry

Cloudera

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

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Struggling to Scale: How Finance Can Do More with Less

Jet Global

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. I'd like to see a demo of insightsoftware solutions. Privacy Policy.

Finance 52
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What is a Data Pipeline?

Jet Global

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.

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Avoid Fragmented Planning with Connected Budgeting and Planning Tools

Jet Global

A simple formula error or data entry mistake can lead to inaccuracies in the final budget that simply don’t reflect consensus. Connected data enables rapid, effective, accurate collaboration among stakeholders throughout the organization. With the best planning and budgeting tools, everyone is operating on the same page.

Sales 52