Data Management Principles for Data Science
KDnuggets
SEPTEMBER 10, 2023
Back to Basics: Understanding key data management principles that data scientists should know.
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KDnuggets
SEPTEMBER 10, 2023
Back to Basics: Understanding key data management principles that data scientists should know.
ArcGIS
JUNE 26, 2023
Tax Parcel Data Management helps to inventory tax parcels from record information and share this info with internal and external stakeholders.
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
KDnuggets
OCTOBER 3, 2023
See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
KDnuggets
APRIL 3, 2023
This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.
KDnuggets
AUGUST 16, 2022
High data availability may help power digital transformation, but data management systems are needed to keep that data organizaed and make it accessible. Read this article to see why data management is important to data science.
KDnuggets
NOVEMBER 13, 2023
This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science. Welcome back to Week 2 of KDnuggets’ "Back to Basics" series.
KDnuggets
JUNE 29, 2022
This article presents the top 5 data management platforms, in order to help you choose which might be best for you.
KDnuggets
OCTOBER 3, 2023
See what KDnuggets is recommending for the top 5 cutting-edge tools for cloud, ETL, transformation, master data management, and visualization.
Data Engineering Podcast
JULY 17, 2022
Crux was built to reduce the total cost of acquisition and ownership for integrating external data, offering a fully managed service for delivering those data assets in the manner that best suits your infrastructure. What are the categories of information that organizations use external data sources for?
Hevo
MAY 11, 2023
A few problems one might have to deal with while trying to expand their Database are storage problems, complicated management issues, and difficulty in the location, sharing, and checking of isolated data. One of the biggest stumbling blocks of a business is the expansion of its Database.
Picnic Engineering
OCTOBER 17, 2023
Building the data foundation for world’s best online supermarket The Importance of MDM In the fast-paced world of technology, it’s easy to be captivated by the allure of artificial intelligence. The truth is, as companies want to unlock the power of data this starts with strong MDM. Picnic’s MDM Journey Picnic was founded in 2015.
ArcGIS
MARCH 30, 2023
ROW and Easement Data Management improves infrastructure planning, utility maintenance, and other functions that require access to land.
Data Engineering Podcast
JUNE 26, 2022
Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.
ArcGIS
JUNE 26, 2023
Tax Parcel Data Management helps to inventory tax parcels from record information and share this info with internal and external stakeholders.
Precisely
SEPTEMBER 5, 2023
With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.
The Modern Data Company
JANUARY 26, 2024
Gain the power of data management with data products. Learn how to make the most of your data to grow your business.
KDnuggets
JANUARY 20, 2023
Software companies can manage big data at a hyper-scale on different infrastructure stacks using Apache Gobblin.
Striim
DECEMBER 12, 2023
Exciting news is on the horizon as Striim proudly announces its Technology Partnership with YugabyteDB, a collaboration set to reshape the landscape of data management. Together, these two companies bring a wealth of expertise to the table, promising a comprehensive solution that addresses the complexities of modern data management.
KDnuggets
JANUARY 6, 2023
Learn Data Management with Data Science for FREE with CS639.
Data Engineering Podcast
JUNE 8, 2020
Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?
KDnuggets
APRIL 29, 2022
Extract, profile, and manage your customer data in a flash with customer data management solutions, and achieve a customer-centric culture.
The Modern Data Company
MAY 10, 2023
In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?
The Modern Data Company
MAY 10, 2023
In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?
KDnuggets
MAY 11, 2022
The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.
The Modern Data Company
MAY 10, 2023
In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?
KDnuggets
OCTOBER 22, 2019
For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.
ArcGIS
JUNE 6, 2023
Check out this blog for some great insights from the data management team. The 2023 Esri User Conference is almost here!
Ascend.io
AUGUST 15, 2023
This same principle holds true in data management. It’s no surprise, then, that the quest for Fivetran alternatives is on the rise as organizations set their sights on a more holistic data approach. Defense: Saving Money with Intelligent Data Refresh In football, a solid defense does more than just stop goals.
databricks
FEBRUARY 22, 2024
For many organizations, log data that security professionals need for effective. In today's environment, proactive cybersecurity is crucial to any public sector agency.
Towards Data Science
DECEMBER 21, 2023
What product leaders need to know to get unblocked by data Continue reading on Towards Data Science »
KDnuggets
AUGUST 31, 2023
These are my predictions based on my personal experiences, recent research and reports from leading platforms.
InData Labs
JULY 19, 2022
Artificial intelligence (AI) data management is becoming an essential tool for helping organizations to leverage the massive amount of data that is helping them make better business decisions and giving us a better sense of our world. Запись How AI is being used in data management впервые появилась InData Labs.
KDnuggets
MAY 31, 2022
This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.
DataKitchen
DECEMBER 8, 2021
The post Data-Driven in 2022: Data Management Opportunities in the Year Ahead first appeared on DataKitchen.
Acceldata
FEBRUARY 10, 2023
Learn how data leaders can optimize their data environments for modern data management with data observability.
ProjectPro
FEBRUARY 16, 2023
With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. This is particularly useful for companies that need to process data in near-real-time.
Data Engineering Podcast
SEPTEMBER 3, 2018
Summary With the proliferation of data sources to give a more comprehensive view of the information critical to your business it is even more important to have a canonical view of the entities that you care about. Can you start by establishing a definition of data mastering that we can work from?
InData Labs
DECEMBER 9, 2021
In today’s digitized medical landscape, effective treatment and better outcomes for patients depend on the smart use of medical data. Healthcare data management treats data as a powerful asset and improves health services. The rise of EHR/EMR systems also promotes more effective handling of patient data.
Cloudera
FEBRUARY 4, 2021
Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.
KDnuggets
MAY 18, 2022
5 Free Hosting Platform For Machine Learning Applications; Data Mesh Architecture: Reimagining Data Management; Popular Machine Learning Algorithms; Reinforcement Learning for Newbies ; Deep Learning For Compliance Checks: What's New?
ArcGIS
MAY 24, 2023
Learn more about a suite of sample data management tools to enable, add, remove or disable media hyperlinks to feature classes in geodatabases.
Teradata
JANUARY 8, 2020
Kevin Lewis offers his predictions for the data management and analytic trends that will accelerate in 2020. Read more!
Data Science Blog: Data Engineering
SEPTEMBER 9, 2020
The tool successfully adheres to the importance of keeping test-data centric in Automation Test solutions. To start with, organizing and managing test data is very easy in TestProject. We are aware that as an application gets bigger and more tests are added, test data management becomes more difficult.
Knowledge Hut
APRIL 23, 2024
We live in a data-driven culture where familiarity with databases is crucial. Database management is crucial for businesses of all sizes to guarantee that their data is complete, safe, and easily available when needed. Why are Database Management Skills Important? In this section, we'll examine every skill in depth.
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