KDnuggets

JUNE 12, 2025

View full parsed raw data") print("2. View full parsed raw data 2. print("What would you like to do?") Extract full plain text") print("3. Get LangChain documents (no chunking)") print("4. Get LangChain documents (with chunking)") print("5. Show document metadata") print("6. strip() if not Path(file_path).exists():

Building 98

Building Metadata Data Science Raw Data 98

ProjectPro

JUNE 6, 2025

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Machine Learning 185

Machine Learning Engineering Raw Data Data Science 185

Christophe Blefari

MARCH 1, 2023

In the ELT, the load is done before the transform part without any alteration of the data leaving the raw data ready to be transformed in the data warehouse. In a simple words dbt sits on top of your raw data to organise all your SQL queries that are defining your data assets.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

ThoughtSpot

JUNE 2, 2025

For data analysts and engineers, the journey from raw data to actionable business insights for business users is never as simple as it sounds. The semantic layer is a critical component in this process, serving as the bridge between complex data sources and the business logic required for informed decision-making.

Raw Data 64

Raw Data Government Algorithm Data 64

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

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

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

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

Scott Logic

JUNE 19, 2025

What Dixon didn’t anticipate was how quickly his pristine lake would become the notorious “data swamp”. Data lakes brought unprecedented flexibility and cost savings through commodity hardware and open-source software. The Lakehouse: Marketing Term or Architectural Evolution?

Data Lake 59

Data Lake Pipeline-centric Raw Data Architecture 59

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 Java 52

The Pragmatic Engineer

OCTOBER 17, 2024

Code and raw data repository:   Version control: GitHub Heavily using GitHub Actions for things like getting warehouse data from vendor APIs, starting cloud servers, running benchmarks, processing results, and cleaning up after tuns.

Cloud 342

Cloud Metadata AWS Cloud Computing 342

Cloudera

DECEMBER 4, 2024

For example: An AWS customer using Cloudera for hybrid workloads can now extend analytics workflows to Snowflake, gaining deeper insights without moving data across infrastructures. Or now customers can combine Cloudera’s raw data processing and Snowflake’s analytical capabilities to build efficient AI/ML pipelines.

AWS 89

AWS Raw Data Relational Database Government 89

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.

Engineering 135

Engineering Raw Data Machine Learning Utilities 135

databricks

JUNE 9, 2025

Databricks Clean Rooms enables customers and partners to analyze their combined data, without revealing sensitive raw data to one another. Since the GA launch on

Raw Data 59

Raw Data Data 59

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 Aggregated Data Data Pipeline Data Validation 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

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

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

Teradata

MAY 30, 2025

Setting up the dbt project dbt (data build tool) allows you to transform your data by writing, documenting, and executing SQL workflows. The sample dbt project included converts raw data from an app database into a dimensional model, preparing customer and purchase data for analytics. dbt-core dagster==1.7.9

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

The Pragmatic Engineer

JANUARY 12, 2023

In this week’s The Scoop, I analyzed this information and dissected it, going well beyond the raw data. Here are a few details from the data points, focusing on software engineering compensation. Every employee could examine a PDF with compensation details for every role at the company.

Software Engineer 238

Software Engineer Software Engineering Engineering Raw Data 238

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

Cloudyard

MAY 4, 2025

Goal: Ingest customer invoice data from an S3 bucket into Snowflake, create the target table dynamically based on the files structure, and load the data all automated via DBT. Yes DBT is primarily known as a transformation tool , where you take raw data already inside your warehouse and clean, enrich, or model it using SQL.

ETL Tools 59

ETL Tools Raw Data SQL Python 59

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 126

BI Raw Data Coding Skills Coding 126

ProjectPro

JUNE 6, 2025

Using familiar SQL as Athena queries on raw data stored in S3 is easy; that is an important point, and you will explore real-world examples related to this in the latter part of the blog. It is compatible with Amazon S3 when it comes to data storage data as there is no requirement for any other storage mechanism to run the queries.

AWS 67

AWS Big Data SQL Raw Data 67

Monte Carlo

JUNE 10, 2025

“As organizations scale their AI initiatives, the complexity of maintaining data quality across the entire stack becomes exponentially more challenging,” said Shane Murray, Head of AI at Monte Carlo.

BI 52

BI Raw Data Business Intelligence Data Pipeline 52

Snowflake

JUNE 10, 2025

For years, Snowflake has been laser-focused on reducing these complexities, designing a platform that streamlines organizational workflows and empowers data teams to concentrate on what truly matters: driving innovation.

Data Pipeline 88

Data Pipeline SQL Python Building 88

ProjectPro

JUNE 6, 2025

Significance of Data Preparation Process in Machine Learning Data Preparation Steps for Machine Learning Projects Machine Learning Data Preparation Tools Project Ideas for Data Preparation in Machine Learning FAQs on Preparing Data for Machine Learning What is Data Preparation for Machine Learning?

Data Preparation 45

Data Preparation Machine Learning Project IT 45

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

ArcGIS

JUNE 23, 2025

Arcade allows you to transform raw data into meaningful content in data visualizations, pop-ups, forms, and labels. This presentation provides an overview of the various visualization techniques that are available in ArcGIS Maps SDK for JavaScript and Map Viewer specific to vector data.

Python 69

Python Raw Data Coding Designing 69

ProjectPro

JUNE 6, 2025

However, the modern data ecosystem encompasses a mix of unstructured and semi-structured data—spanning text, images, videos, IoT streams, and more—these legacy systems fall short in terms of scalability, flexibility, and cost efficiency. That’s where data lakes come in. What is a data lake in ETL?

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Today, data engineers are constantly dealing with a flood of information and the challenge of turning it into something useful. The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process.

Data Pipeline 49

Data Pipeline Google Cloud AWS Kafka 49

ThoughtSpot

JANUARY 15, 2025

Thats why were excited to announce the launch of Analyst Studio , the collaborative creator space where data teams can come together to transform raw data into actionable insights. In fact, in this age of AI, we need analysts more now than ever.

BI 64

BI SQL Data Warehouse Datasets 64