Engineering at Meta

FEBRUARY 4, 2025

The result of these batch operations in the data warehouse is a set of comma delimited text files containing the unfiltered raw data logs for each user. We do this by passing the raw data through various renderers, discussed in more detail in the next section.

Accessible 80

Accessible Accessibility Raw Data Data Warehouse 80

KDnuggets

JUNE 27, 2022

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

Data Preparation 160

Data Preparation SQL Raw Data Data Lake 160

Analytics Vidhya

FEBRUARY 25, 2023

The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Cloud Storage 162

Cloud Storage Data Lake Cloud Unstructured Data 162

Cloudyard

JANUARY 15, 2025

Our goal is to: Extract the raw text using PARSE_DOCUMENT. Store the cleaned data in a structured format for analysis. Step 1: Extract Raw Data Using PARSE_DOCUMENT First, PDFs are uploaded to a Snowflake stage. Handle inconsistencies like missing or malformed data. Using Snowpark , we: Parse key fields (e.g.,

Data Cleanse 52

Data Cleanse Insurance Raw Data Unstructured Data 52

Cloudyard

DECEMBER 24, 2024

In this blog, well explore Building an ETL Pipeline with Snowpark by simulating a scenario where commerce data flows through distinct data layersRAW, SILVER, and GOLDEN.These tables form the foundation for insightful analytics and robust business intelligence. They need to: Consolidate raw data from orders, customers, and products.

Building 52

Building Raw Data Scala Business Intelligence 52

Precisely

JANUARY 9, 2025

Which turned into data lakes and data lakehouses Poor data quality turned Hadoop into a data swamp, and what sounds better than a data swamp? A data lake!

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

databricks

AUGUST 2, 2024

Training a high-quality machine learning model requires careful data and feature preparation. To fully utilize raw data stored as tables in Databricks, running.

Raw Data 135

Raw Data Engineering Machine Learning Utilities 135

Ascend.io

OCTOBER 28, 2024

What is Data Transformation? Data transformation is the process of converting raw data into a usable format to generate insights. It involves cleaning, normalizing, validating, and enriching data, ensuring that it is consistent and ready for analysis.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Hevo

DECEMBER 6, 2024

Data preparation tools are very important in the analytics process. They transform raw data into a clean and structured format ready for analysis. These tools simplify complex data-wrangling tasks like cleaning, merging, and formatting, thus saving precious time for analysts and data teams. 

Data Preparation 52

Data Preparation Raw Data Data Process 52

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Snowflake

JANUARY 29, 2024

Bring your raw Google Analytics data to Snowflake with just a few clicks The Snowflake Connector for Google Analytics makes it a breeze to get your Google Analytics data, either aggregated data or raw data, into your Snowflake account. Here’s a quick guide to get started: 1.

Raw Data 126

Raw Data Aggregated Data Cloud Data 126

Cloudera

JANUARY 9, 2025

Best of all, they are all designed to work together seamlessly, providing you with the capabilities for a smooth path from raw data to AI-driven results. Were building on our foundation of proven data and analytics expertise to deliver a platform thats ready to help you realize real business value from your AI initiatives.

Machine Learning 85

Machine Learning Raw Data Government Algorithm 85

KDnuggets

NOVEMBER 17, 2021

With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.

BI 133

BI Raw Data Coding Skills Coding 133

DataKitchen

DECEMBER 6, 2024

We covered how Data Quality Testing, Observability, and Scorecards turn data quality into a dynamic process, helping you build accuracy, consistency, and trust at each layerBronze, Silver, and Gold.

Architecture 52

Architecture Raw Data High Quality Data Data Validation 52

Hevo

DECEMBER 6, 2024

Data integration is an integral part of modern business strategy, enabling businesses to convert raw data into actionable information and make data-driven decisions. However, its technical complexities and steeper learning curve can create a challenge for teams that require an efficient real-time data pipeline.

Raw Data 52

Raw Data Data Pipeline Data Integration Data 52

Monte Carlo

NOVEMBER 22, 2024

Gone are the days of just dumping everything into a single database; modern data architectures typically use a combination of data lakes and warehouses. Think of your data lake as a vast reservoir where you store raw data in its original form—great for when you’re not quite sure how you’ll use it yet.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

Snowflake

NOVEMBER 11, 2024

Developers do not have to move the raw data from its original storage location. SQL users can now replace complex document processing pipelines with simple SQL functions from Cortex AI, such as PARSE_DOCUMENT (public preview) and SPLIT_TEXT_RECURSIVE_CHARACTER (private preview).

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Towards Data Science

FEBRUARY 9, 2023

In this post, I will go over a technique for enabling a cheap data injestion and cheap data consumption for “big data”. Photo by Joshua Sortino on Unsplash Let’s imagine we have raw data in the granularity of timestamps and we need to calculate the totals per customer.

Big Data 98

Big Data Raw Data Aggregated Data Data 98

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

InData Labs

OCTOBER 17, 2023

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. Запись The benefits of modern data architecture впервые появилась InData Labs.

Data Architecture 105

Data Architecture Architecture Raw Data Big Data 105

KDnuggets

JULY 18, 2023

Data Storytelling with Python Altair and Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations.

Raw Data 102

Raw Data Python Data 102

Towards Data Science

FEBRUARY 6, 2024

As you do not want to start your development with uncertainty, you decide to go for the operational raw data directly. Accessing Operational Data I used to connect to views in transactional databases or APIs offered by operational systems to request the raw data. Does it sound familiar?

Systems 98

Systems Raw Data Metadata Data Cleanse 98

Engineering at Meta

JANUARY 21, 2025

Strobelight also delays symbolization until after profiling and stores raw data to disk to prevent memory thrash on the host. Then it can serve multiple symbolization requests coming from different instances of Strobelight running throughout the fleet. To add to that enchilada (hungry yet?),

Technology 114

Technology Metadata Utilities Engineering 114

Precisely

SEPTEMBER 25, 2023

Read our eBook Validation and Enrichment: Harnessing Insights from Raw Data In this ebook, we delve into the crucial data validation and enrichment process, uncovering the challenges organizations face and presenting solutions to simplify and enhance these processes.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Precisely

NOVEMBER 20, 2023

We work with organizations around the globe that have diverse needs but can only achieve their objectives with expertly curated data sets containing thousands of different attributes. The post Use Data Enrichment to Supercharge AI appeared first on Precisely.

Raw Data 121

Raw Data Insurance Data Portfolio 121

RandomTrees

MARCH 10, 2025

From Information to Insight The difficulty is not gathering data but making sense of it. Predictive analytics and business intelligence (BI) solutions transform raw data into actionable insights, including real-time dashboards, forecasting capabilities, and scenario modelling.

Retail 52

Retail Data Governance Hospitality Banking 52

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Hevo

JANUARY 31, 2025

Businesses rely on data to drive decisions, uncover trends, and stay ahead of the competition. But raw data is often messy, scattered across multiple sources, and difficult to analyze effectively. ETL data modeling offers a structured approach to transform this chaos into meaningful insights.

Raw Data 40

Raw Data Data IT Data Engineering 40

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

Pharmaceutical 98

Pharmaceutical Raw Data Data Data Lake 98

Towards Data Science

NOVEMBER 16, 2023

Extract and Load This phase includes VDK jobs calling the Europeana REST API to extract raw data. You have just learned how to implement batch data processing in VDK! It only requires ingesting raw data, manipulating it, and, finally, using it for your purposes! link] Summary Congratulations!

Data Process 98

Data Process Process Raw Data Data 98

Monte Carlo

NOVEMBER 21, 2024

Want to run SQL queries on your structured data while also keeping raw files for your data scientists to play with? The data lakehouse has got you covered! Data typically flows through three stages: Bronze : Raw data lands here first, preserved in its original form.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

KDnuggets

NOVEMBER 17, 2021

With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.

BI 82

BI Raw Data Coding Skills Coding 82

Knowledge Hut

MAY 1, 2024

From tracking the websites we visit - how long, how often - to what we purchase and where we go - our digital footprint is an immense source of data for a lot of businesses. Between our laptops, smartphones and our tablets - almost everything we do translates into some form of data. It sounds like a mighty hefty job, doesn’t it?

Data Science 94

Data Science Raw Data Manufacturing Retail 94

Maxime Beauchemin

AUGUST 28, 2017

If the data of interest isn’t already available in the structured part of the data warehouse, chances are that the analyst will proceed with a short term solution querying raw data, while the data engineer may help in properly logging and eventually carrying that data into the warehouse.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174