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The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

Astera

Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI. With Asteras visual UI, users automate workflows, connect diverse data sources, and build and manage data pipelines without writing a single line of code. Ratings: 3.8/5 5 (Gartner) | 4.4/5

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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

For example, if a business user is exploring an aggregated data set within the data warehouse and discovers the need for additional data features or a different level of detail, it can take some time to update the data processing pipeline. The evolution of data storage over time, via Databricks.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

One of the most common data job titles, data analysts use existing tools and algorithms to solve data-related problems (instead of inventing new ones like data scientists might do. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

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Domo Announces Partnership with Hakkōda to Leverage AI and Analytics Capabilities for Customers

Domo

SILICON SLOPES, Utah Today Domo , an AI + data platform, announced a new partnership with Hakkoda , a modern data consultancy specializing in practical solutions to complex industry challenges. This partnership aims to help users simplify data management and get actionable intelligence faster with the power of Snowflake and Domo.

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What is Data Modernization? Benefits, Importance & Components

Astera

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It aligns data with the requirements of modern data systems and applications.

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Determining Business Intelligence Requirements That Will Delight Your Customers

Insight Software

Presentation and information delivery: These requirements affect you present data in visualizations, dashboards, and reports, as well as the compatibility of your BI solution across different devices and formats. Consider whether you need to personalize visualizations, let users kick off workflows, or drill down into information.

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Data Science vs Data Analytics: Key Differences

Astera

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.