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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. From there to management role and now he is a chief revenue officer at OneUp Sales. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Maximiser, Miller Heiman and more.

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Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

To excel in this role, it’s crucial for Business Analysts to have a solid understanding of Data Warehousing concepts. This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. What is Data Warehousing?

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Top 7 Data Replication Software in 2023

Astera

Data replication software are used in multiple scenarios, so there is no surprise that, according to IDC, the data replication software market is expected to grow at a 3.6% This article navigates through the top 7 data replication software available in the market and explains their pros and cons so you can choose the right one.

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Building a Data Science career without coding

The BAWorld

These are the roles that mainly focus on data interpretation, strategy, and decision-making. In this article, I have listed these roles, listed down their responsibilities and their core skills. Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data.

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The Best Talend Alternatives & Competitors to Consider in 2024

Astera

In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between  data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative?

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5 Best Claims Automation Software in 2024

Astera

IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume.

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Data Modelling for Analytics

The BAWorld

With data modeling, you can: Dive deep into your data Design and manage complex database systems Keep all stakeholders aligned – from data analysts to software designers and engineers Sounds pretty great, right? But what exactly does data modeling involve? What is the purpose of data modeling?