Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? This requires: Data is embedded into the processes of the organisation.

Data Governance 52

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phData

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Alation

FEBRUARY 20, 2020

As data drives more and more of the modern economy, data governance and data management are racing to keep up with an ever-expanding range of requirements, constraints and opportunities. And among these, we find data acquisition. DATA ACQUISITION DEFINED. What is data acquisition?

Data Governance 52

Data Governance Data Warehouse Data Science Analytics 52

Alation

MARCH 29, 2023

Prior to that, I was a CTO in the state of California and have worked for state and local governments for 15 years. They help our customers architect their modern data stack , tying in Snowflake or Fivetran where they’re needed, for example. Public entities stand to gain a range of benefits by modernizing their data landscapes.

Data Governance 52

Data Governance 52

Alation

JANUARY 10, 2023

And implementing a data catalog is no different. From helping analysts search and find the data they need to promoting data as an asset, there are many ways data catalogs can add value to your organisation. Three reasons companies adopt a data catalog. Starting a data strategy journey.

Data Lakes 52

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phData

AUGUST 18, 2023

Although the data industry is not new to AI-type features, AI’s accessibility and reach have increased dramatically. In this blog, we will cover Sigma’s initial release of AI functionality, some example use cases, and some considerations when implementing it in an organization. Adding public knowledge to complement existing data.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

DataRobot Blog

OCTOBER 9, 2017

Excel has long been the tool for business analysts to perform lightweight data preparation tasks – identifying outliers and errors, aggregating values, and combining data into one spreadsheet for analytics. However, all too often, business users waste time using Excel to manually profile and process data. free trial.

Data Preparation 52

Data Preparation Data Profiling Data Governance Machine Learning 52

Alation

FEBRUARY 13, 2020

In a recent blog, titled Collaboration and Crowdsourcing with Data Cataloging , I discussed the importance of participation by all data stakeholders as a key to getting maximum value from your data catalog. Figure 1 – Data Catalog Implementation. See figure 1.) See figure 2.)

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

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Alation

MARCH 16, 2023

Spreadsheets. The very word can cast a shiver of dread through many a hardened data professional’s spine. They are everywhere, they seem to multiply, and no one can be entirely sure how many their organization may have, nor — perhaps more worryingly — where the data they contain may have originated. They were so very right.

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phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. This is where Fivetran and the Modern Data Stack come in.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

Hacker News

FEBRUARY 8, 2024

A version of this post was originally published on my personal blog, Berthub.eu. Yet in the past year, we’ve learned that Microsoft’s email platform was thoroughly hacked , including classified government email. Many packages used will also, by default, snitch on your users to advertisers and other data brokers. Perhaps more.

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Azure Cloud Computing AWS Python 179

phData

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. What is Zero-Code Development Life Cycle (ZDLC)?

ETL 52

ETL Analytics Analytics Data Modeling 52

phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches. Congratulations! Want to save this guide for later?

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Clustering Database SQL Data Pipeline 98

The MLOps Blog

JULY 18, 2023

You need to have a structured definition around what you’re trying to do so your data annotators can label information for you. We’ve spent a lot of effort doing all that scoping and then initiating the data collection process so that we can start building these models. Machines don’t deal well with ambiguity.

AI 52

AI AI Natural Language Processing Machine Learning 52

Alation

SEPTEMBER 20, 2021

This last weekend, I asked CIOs two questions: First, what data problems are most urgent for you to solve? The answers reflected various levels of data maturity. But more importantly, the importance of fixing data governance was a core theme. The CIO’s Role in Data. Or they too tightly control and hoard data.”.

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Data Governance Data Quality Data Science Data Modeling 84

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

Data Lakes 52

Data Lakes Data Governance ML ML 52

phData

SEPTEMBER 1, 2023

Healthcare and Life Sciences (HCLS) companies face a multitude of challenges when it comes to managing and analyzing data. From the sheer volume of information to the complexity of data sources and the need for real-time insights, HCLS companies constantly need to adapt and overcome these challenges to stay ahead of the competition.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

APRIL 2, 2024

Summary This blog post demystifies data science for business leaders. It explains key concepts, explores applications for business growth, and outlines steps to prepare your organization for data-driven success. Data Science Cheat Sheet for Business Leaders In today’s data-driven world, information is power.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52

Alation

AUGUST 2, 2022

Similary, every touchpoint offers data that can help you improve that customer experience, from the number and duration of support interactions to the intuitiveness of your website. Analyzing this data can build your ability to anticipate a customer’s specific needs. But customers aren’t data; they’re people.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

AWS Machine Learning Blog

JUNE 28, 2023

Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. When public health threats emerge, data velocity increases, incoming datasets can grow larger, and data management becomes more challenging. How can we test this quickly and with a high degree of accuracy?

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Machine Learning Machine Learning ML ML 77