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 183

Machine Learning Engineering Raw Data Data Science 183

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 115

Engineering Raw Data Machine Learning Utilities 115

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 113

Raw Data Aggregated Data Cloud Data 113

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 157

Cloud Storage Data Lake Cloud Unstructured Data 157

DataKitchen

NOVEMBER 5, 2024

It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ? Bronze, Silver, and Gold – The Data Architecture Olympics? The Bronze layer is the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

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

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

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 79

Systems Raw Data Metadata Data Cleanse 79

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

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

Hevo

AUGUST 21, 2024

Data is a productive asset, but it is also becoming complex. As organizations grow and accumulate vast amounts of data, managing data becomes a challenge. Raw data becomes overwhelming, especially for non-technical users.

Raw Data 52

Raw Data Data Data Management Management 52

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 84

Big Data Raw Data Aggregated Data Data 84

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

Monte Carlo

AUGUST 6, 2024

Integration Layer : Where your data transformations and business logic are applied. Stage Layer: The Foundation The Stage Layer serves as the foundation of a data warehouse. Its primary purpose is to ingest and store raw data with minimal modifications, preserving the original format and content of incoming data.

Data Warehouse 52

Data Warehouse Raw Data BI Machine Learning 52

Hevo

JULY 9, 2024

‍‍Pull raw data, build auto-updated reports dashboards, and find the real-time information you need. Follow this step-by-step explanation to learn how to automatically retrieve data from your Postgres and import it into Google Sheets with a script you can copy and paste into Google Apps Script.

Raw Data 52

Raw Data Building Data IT 52

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

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 273

Cloud AWS Metadata Cloud Computing 273

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 82

Raw Data Python Data 82

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 127

BI Raw Data Coding Skills Coding 127

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

Hevo

AUGUST 29, 2024

Snowflake is a cloud data warehouse that has taken the world by storm, establishing itself as one of the core technologies in the cloud era. Central to its power is the Snowflake Semantic Layer, which helps organizations transform raw data into […] Snowflake is a cross-cloud platform; you can run it on AWS, Azure, or GCP.

Raw Data 52

Raw Data Data Warehouse AWS Cloud 52

Hevo

APRIL 27, 2023

In today’s data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for informed decision-making. ” While they may sound […]

Raw Data 52

Raw Data Big Data Data Data Warehouse 52

Precisely

OCTOBER 5, 2023

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs. That’s where data enrichment comes in.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

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 75

Data Process Process Raw Data Data 75

Precisely

DECEMBER 13, 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.

Raw Data 96

Raw Data Entertainment Data Validation Education 96

Knowledge Hut

DECEMBER 7, 2023

Welcome to the comprehensive guide for beginners on harnessing the power of Microsoft's remarkable data visualization tool - Power BI. In today's data-driven world, the ability to transform raw data into meaningful insights is paramount, and Power BI empowers users to achieve just that. What is Power BI?

BI 52

BI Raw Data Datasets Business Intelligence 52

Hevo

JUNE 14, 2024

Data analytics helps to derive valuable insights from your raw data. It helps you align your business processes for better outcomes by identifying trends and patterns in the data that would otherwise be lost.

Data Analytics 40

Data Analytics Raw Data Data Process 40

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

MAY 1, 2024

If the general idea of stand-up meetings and sprint meetings is not taken into consideration, a day in the life of a data scientist would revolve around gathering data, understanding it, talking to relevant people about the data, asking questions about it, reiterating the requirement and the end product, and working on how it can be achieved.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

Monte Carlo

JULY 25, 2023

What is data curation? Data curation is the process of transforming and enriching larger amounts of raw data into smaller, more widely accessible subsets of data that provide additional value to the organization or the intended use case. It would also make the data engineering team a bottleneck.

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

Hevo

APRIL 26, 2024

The importance of using data in sectors like Data Science, Machine Learning, etc. grows as the amount of data sources, and data types in an organization expand. Converting raw data into a clean and reliable form is a key step for extracting meaningful insights from it.

Raw Data 40

Raw Data Machine Learning Data Science Data Engineering 40

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 84

Engineering Raw Data Data Science Machine Learning 84

Preset

MAY 22, 2023

Data modeling is a critical process that forms the foundation of any successful business intelligence strategy. In simple terms, it is a method that helps structure raw data into an understandable and useful format.

Raw Data 52

Raw Data Business Intelligence Data Process 52

Hevo

FEBRUARY 15, 2023

After the hustle and bustle of extracting data from multiple sources, you have finally loaded all your data to a single source of truth like the Snowflake data warehouse. However, data modeling is still challenging and critical for transforming your raw data into any analysis-ready form to get insights.

Data Pipeline 59

Data Pipeline Building Raw Data Data Warehouse 59

Monte Carlo

FEBRUARY 9, 2023

For those unfamiliar, data vault is a data warehouse modeling methodology created by Dan Linstedt (you may be familiar with Kimball or Imon models ) created in 2000 and updated in 2013. Data vault collects and organizes raw data as underlying structure to act as the source to feed Kimball or Inmon dimensional models.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52