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Best of 2023: Top 5 Data Integrity Blog Posts

Precisely

Data integrity empowers your businesses to make fast, confident decisions based on trusted data that has maximum accuracy, consistency, and context. As 2023 comes to an end we’re counting down the Top 5 Data Integrity blog posts of the year. #5. Read more > #1.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Data Modeler ScyllaDB Data modelers are professionals who translate business requirements into data models with data architects for computer systems to utilize complex data.

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How the EU’s Digital Operations Resilience Act (DORA) Aims To Strengthen Operational Resilience in Financial Services 

Snowflake

Recover: establish processes for rapid recovery after incidents to ensure business continuity. This strategy must incorporate business impact analyses as well as backup and recovery plans in the event of a security incident or loss of access to data. Prevent: implement robust measures to safeguard these functions.

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Harnessing the Data Cloud to Empower Our Own Marketing Team: Building a Digital Ads Ecosystem on Snowflake

Snowflake

According to Salesforce’s 8th annual State of Marketing Report , marketers cite measuring marketing ROI and attribution as their second biggest challenge—something that we here at Snowflake can certainly relate to. Provide normalized data sets through reports, dashboards and apps powered by Tableau, Snowsight and Streamlit.

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What is Splunk? Tools, Architecture, Advantages

Knowledge Hut

Splunk can also be used to generate reports and dashboards to help visualize data. It seeks to create machine-generated data that is accessible across an organization and can identify data trends, generate metrics, identify issues, and provide insight for use in business operations. In this blog, let’s explore “what is Splunk?”

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Data Warehouse vs Big Data

Knowledge Hut

In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits. It is designed to support business intelligence (BI) and reporting activities, providing a consolidated and consistent view of enterprise data.

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Data Alchemy: Turning Manual Analysis into Automated Gold

FreshBI

“ During my early days in IT, I used to create CSV reports by reading the client’s specifications from the ticket and then querying the SQL server. ” In the continuously evolving field of data-driven insights, maintaining competitiveness relies not only on in-depth analysis but also on the rapid and precise development of reports.

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