Snowflake

NOVEMBER 27, 2023

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. Traveling over hard ground on the way to building something important is what inspires me. Hum is harnessing frontier AI to transform content and audience data into actionable insights and personalized experiences.

Raw Data 98

Raw Data Relational Database Consulting Architecture 98

Monte Carlo

JANUARY 6, 2023

A data-informed product strategy 2. A data-informed product strategy Product teams are tasked with being data-informed at all stages in the product life cycle, from idea generation and product definition, to validating prototypes and building a commercially successful product. Experimentation 4. Cohort analysis 5.

Building 52

Building Project BI Data 52

DoorDash Engineering

APRIL 12, 2023

The Metrics Layer, also known as a Semantic Layer, is a critical component of the modern data stack that has recently received significant industry attention offers a powerful solution to the challenge of standardizing metric definitions. Experimentation is one of the primary use cases that relies on metrics.

SQL 82

SQL Metadata Raw Data Government 82

Snowflake

APRIL 7, 2023

This was the first year that startups had the chance to build with our Native Applications Framework (currently in private preview), and we were thrilled to see the number of entries that included a native app. It transforms multiple financial and operational systems’ raw data into a common, friendly data model that people can understand.

Raw Data 108

Raw Data Portfolio Building SQL 108

Monte Carlo

MARCH 28, 2023

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Monte Carlo

JANUARY 12, 2023

Today, we have a data team of about 20 professionals organized among three teams. The first team is responsible for building the backend data infrastructure. The second team, data services , are more application or front-end oriented. Also, Snowflake scalability and features like data sharing were very attractive.

Architecture 52

Architecture Building Data Warehouse BI 52

The Modern Data Company

MARCH 1, 2024

Each Data Product is designed for a specific purpose, equipped with the necessary data, transformations, and metadata. Data Products simplify access and processing, empowering faster decision-making. Beyond the Analogy: A Closer Look at Data Products Think of a Data Product as a Lego brick.

Database-centric 40

Database-centric Data Lake Government Retail 40

Towards Data Science

APRIL 3, 2023

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Monte Carlo

OCTOBER 2, 2023

Copenhagen-based Abacus Medicine is working to make medicine more affordable and accessible for patients while saving costs for healthcare systems. The global pharmaceutical company buys and sells prescription pharmaceuticals across borders throughout the European Union — which involves complex data sourcing, handling, and quality assurance.

Pharmaceutical 72

Pharmaceutical Healthcare Machine Learning Architecture 72

Precisely

JANUARY 5, 2023

For some companies that do have a formal strategy, that strategy may be little more than a technical exercise, the primary purpose of which is to lay out the nuts and bolts of data management, compliance, and similar baseline requirements. Data governance plays a critical role in any effective data strategy.

Data Governance 52

Data Governance Government Data Raw Data 52

RandomTrees

DECEMBER 20, 2023

In this way, Edge AI facilitates the storage and computation of data, making it more accessible for users. Moreover, Edge AI combines AI algorithms with edge computing capabilities on local devices. Thus, data can get processed and analyzed without requiring connectivity and integration, allowing users to access data from various sources.

IT 52

IT Hospitality Healthcare Deep Learning 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. You’ll learn how to load, query, and process your data.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

DECEMBER 26, 2023

The spectrum of sources from which data is collected for the study in Data Science is broad. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. Why Use AWS Glue?

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 9, 2021

As we proceed further into the blog, you will find some statistics on data engineering vs. data science jobs and data engineering vs. data science salary, along with an in-depth comparison between the two roles- data engineer vs. data scientist. vs. What does a Data Engineer do? What is Data Science?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Meltano

OCTOBER 5, 2022

This includes various day-to-day activities, from reducing development time and improving data quality to providing guidance and support to data team members. To reduce development time and increase data reliability, DataOps engineers automate manual processes, such as data extraction and testing.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52

The Modern Data Company

MAY 10, 2023

Companies need more than definitions. In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. PREVIOUS NEXT <

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Monte Carlo

FEBRUARY 15, 2023

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Data Transformation Raw data ingested into a data warehouse may not be suitable for analysis.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

MARCH 14, 2023

to build products and services for various purposes. A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture. While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

NOVEMBER 27, 2023

A Data Scientist earns about 25% more than a computer programmer. A person with a die-hard passion to work on large datasets and to draw meaningful insights can definitely begin their journey in becoming a great data scientist. What is Data in Data Science? Data is the essence of Data Science.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

The Modern Data Company

MAY 10, 2023

Companies need more than definitions. In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Companies need more than definitions. In a world where technology evolves, and data assets have exploded in volume, it helps to know the best use cases for each of these solutions and when to avoid them. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

dbt Developer Hub

SEPTEMBER 28, 2022

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. If your analyst is not trained as an analytics engineer, this is the point that they will need to hand the project over to a data engineer to build the model. Or are you?

Engineering 52

Engineering Raw Data Datasets BI 52

Monte Carlo

MARCH 10, 2022

Monte Carlo’s Barr Moses sat down with Snowflake Director of Product Management Chris Child to talk about building data platforms at scale, how awesome data teams approach data quality, the role of data observability tools in the modern data stack, and more. Just get the raw data in there.

Engineering 52

Engineering Management Raw Data Scala 52

Precisely

FEBRUARY 6, 2023

If digital transformation initiatives are to deliver on their promises, they need accurate, consistent, contextualized, and rich data. What Is Data Integrity? Until recently, the business community has lacked a clear and consistent definition of data integrity.

Data Integration 52

Data Integration Data Governance Government Raw Data 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

DareData

JULY 29, 2020

Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer. A simple example of a data pipeline, transforming raw data, and converting it into a dashboard. Correctly scheduling the data pipelines.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 52

Metadata BI Government ETL Tools 52

Mutt Data

APRIL 4, 2023

We’ve gone over the game-changing benefits of implementing a Modern Data Stack and hopefully established that it is a necessary foundation for companies to effectively scale and eventually build ML and AI capabilities upon to gain a competitive advantage. Modern Data Stacks are not an exception. Is my data exploitable?

Raw Data 40

Raw Data Data Warehouse AWS Data Governance 40

Monte Carlo

JANUARY 4, 2024

Over the last two years, data contracts have become one of most talked about (and hotly debated ) topics in data engineering. And like any new — and admittedly abstract — concept, there are several different definitions of data contracts floating around on LinkedIn , Medium , and Substack. Where do I log it?

Data 40

Data Metadata Software Engineer Software Engineering 40

Ascend.io

JANUARY 3, 2023

Fundamentally, we need an approach that holistically supports the infrastructure, technology, and processes to convert raw data into something valuable and accessible. This approach should improve the full data lifecycle, including knowing what data exists, where it is, how to access it, and how to understand it.

Data 52

Data Data Lake Business Intelligence Big Data 52

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. of data engineer job postings on Indeed?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

U-Next

SEPTEMBER 9, 2022

This article outlines the true potential of automated Business Analytics and Data Analytics. . Analyzing business data for actionable insights is the objective of business analytics. The process involves taking raw data and transforming it into something that can improve decision-making analytics. Conclusion .

Business Analyst 40

Business Analyst Raw Data Business Intelligence Cloud Computing 40