Category - Data Strategy - Page 7 of 37 - Learn

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Top 7 Data Reconciliation Tools to Consider in 2025

April 5th, 2024 By Sarad Mohanan in Data Strategy

Do you ever feel like your data is telling different stories? In today's world of multiple systems and information streams, ensuring data accuracy can be a constant battle. Here's where…

What is Data Reconciliation? Everything to Know

April 5th, 2024 By Satyam Agrawal in Data Strategy

Data reconciliation is the process of comparing data from different systems or sources to identify and fix discrepancies. The goal is to ensure that the information is accurate and up-to-date.…

Data Observability vs Data Quality: Difference and Relationships Explored

April 5th, 2024 By Sarthak Bhardwaj in Data Strategy, Versus

Poor data causes businesses to lose $3 trillion annually. While data should improve business performance and help in successfully navigating complexities, poor data amplifies the challenges. Chances of inaccurate or…

What Is AWS Data Pipeline: Core Concepts & Implementation Explained

April 5th, 2024 By Vivek Sinha in AWS, Data Strategy

AWS Data Pipeline is a web service that lets you process and moves data at regular intervals between AWS computing and storage services, as well as on-premises data sources. It…

What Is Serverless Architecture? Everything You Need To Know

April 5th, 2024 By Vivek Sinha in AWS, Data Strategy

Serverless architecture is a way of building apps without managing traditional servers. Instead, it relies on two essential techniques: Backend as a Service (BaaS) and Functions as a Service (FaaS).…

What is AWS Glue?: 4 Comprehensive Aspects

April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy

With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…

How to Create & Run a High Performance Data Team?

March 29th, 2024 By Sony Saji in Best Practice, Data Strategy

What is a high performance data team? You know how popular Google is now. Since Google acquired Android, it has become one of the globally accepted Operating Systems for smartphones.…

Offensive vs Defensive Data Strategy: Do You Really Need to Choose?

March 29th, 2024 By Willem Koenders in Data Strategy

Willem Koenders is a global leader in data strategy at ZS Associates with 10 years of experience advising leading organizations across all continents on how to leverage data to build…

What is Observability for Data Engineering: Explained with Examples

March 22nd, 2024 By Kyle Kirwan in Data Strategy

Kyle Kirwan is the CEO and co-founder of Bigeye, the premier data observability platform. Bigeye gives observability for Data Engineering and science teams the tools they need to ensure their…

9 AI Trends That Will Revolutionize Data Science

March 15th, 2024 By Shane Barker in Data Strategy

Shane Barker is a digital marketing consultant who specializes in influencer marketing, content marketing, and SEO. He is also the co-founder and CEO of Content Solutions, a digital marketing agency.…

Data ‘Poka-Yoking’ With Data Observability for the Modern Data Stack

March 15th, 2024 By Loretta Jones in Data Strategy

Loretta Jones is VP of Growth at Acceldata.io with extensive experience in marketing to SMBs, mid-market companies, and enterprise organizations. She is a self-proclaimed "startup junkie” who credits her degree…

What is a Data Stack: Everything You Need To Know

February 2nd, 2024 By Jalaj Jain in Data Strategy

The field of data management is rapidly evolving as the volume and complexities of data continue to grow. In recent years, tools and technologies have revolutionized how organizations deal with…

10 Best Cloud Data Services Tools for 2025

February 2nd, 2024 By Jalaj Jain in Data Strategy

In the age of exponentially growing digital information, cloud data services tools have become a one-stop solution to help businesses store, process, and manage data. The associated benefits of scalability,…

What is Big Data Computing?

February 2nd, 2024 By Boudhayan Ghosh in Data Strategy

In the current digital landscape, data is produced whenever you use apps or browse on Google. Consequently, this generates extensive pools of valuable information that companies and organizations manage, store,…

What is a Data Marketplace? Uses and Best Practices

February 2nd, 2024 By Suchitra Shenoy in Data Strategy

In this era of data-driven decision-making and actionable insights, businesses are increasingly recognizing the value of harnessing vast data sources to stay competitive. If you’re looking to uncover new opportunities,…

Cloud Data Analytics: Workings, Benefits, Best Practices, Tools

December 29th, 2023 By Jalaj Jain in Data Strategy

Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…

Data Stewardship- Frameworks & Best Practices

December 29th, 2023 By Jalaj Jain in Data Strategy

As data use cases and data diversity are constantly increasing, managing data effectively is the top priority for data-driven organizations. While there are many tools to handle data management, you…

Data Lifecycle Management: Stages, Best Practices, Benefits

December 29th, 2023 By Jalaj Jain in Data Strategy

Managing data from the moment of its birth to being deleted is termed Data Lifecycle Management. It helps ensure efficiency, security, and regulatory compliance for the entire journey. In today's…

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Categories

Data Strategy

Top 7 Data Reconciliation Tools to Consider in 2025

What is Data Reconciliation? Everything to Know

Data Observability vs Data Quality: Difference and Relationships Explored

What Is AWS Data Pipeline: Core Concepts & Implementation Explained

What Is Serverless Architecture? Everything You Need To Know

What is AWS Glue?: 4 Comprehensive Aspects

How to Create & Run a High Performance Data Team?

Offensive vs Defensive Data Strategy: Do You Really Need to Choose?

What is Observability for Data Engineering: Explained with Examples

9 AI Trends That Will Revolutionize Data Science

Data ‘Poka-Yoking’ With Data Observability for the Modern Data Stack

What is a Data Stack: Everything You Need To Know

10 Best Cloud Data Services Tools for 2025

What is Big Data Computing?

What is a Data Marketplace? Uses and Best Practices

Cloud Data Analytics: Workings, Benefits, Best Practices, Tools

Data Stewardship- Frameworks & Best Practices

Data Lifecycle Management: Stages, Best Practices, Benefits

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