Remove solutions data-management
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Airflow for Orchestrating REST API Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. Most organizations today with complex data pipelines to […].

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Top 10 Databases to Use in 2024

Analytics Vidhya

Introduction Many database technologies in contemporary data management meet developers’ and enterprises’ complex and ever-expanding demands. Achieving the best data management results and choosing the appropriate solution for a given […] The post Top 10 Databases to Use in 2024 appeared first on Analytics Vidhya.

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Top 10 AWS Redshift Interview Questions in 2022

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction AWS Redshift is a powerful, petabyte-scale, highly managed cloud-based data warehousing solution. It processes and handles structured and unstructured data in exabytes (1018 bytes).

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MCP, ACP, and Agent2Agent set standards for scalable AI results

CIO Business Intelligence

Open protocols aimed at standardizing how AI systems connect, communicate, and absorb context are providing much needed maturity to an AI market that sees IT leaders anxious to pivot from experimentation to practical solutions. Its not just one vendor sitting out there operating in a vacuum. What is MCP?

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. Download this eBook and gain an understanding of the impact of data management on your company’s ROI.

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Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone

AWS Big Data

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and from third-party sources. Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different. Much has been written about struggles of deploying machine learning projects to production. This approach is not novel.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting. We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. Register to save your seat!

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. of companies achieved a score indicating maturity in data management practices in the space.". B2B organizations struggle with bad data. More organizations are investing in B2B sales and marketing intelligence solutions.

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Will the data lake scale when you have twice as much data?

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.