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

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

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

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

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

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 99

Data Validation Process Raw Data Data Cleanse 99

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

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

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 Business Intelligence 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 PostgreSQL 52

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 81

Raw Data Python Data 81

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 120

Raw Data Insurance Data Portfolio 120

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 120

BI Raw Data Coding Skills Coding 120

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

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

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

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

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

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

ThoughtSpot

MARCH 5, 2024

When created, Snowflake materializes query results into a persistent table structure that refreshes whenever underlying data changes. These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot.

BI 109

BI Datasets Raw Data SQL 109

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse NoSQL 52

Cloudyard

JUNE 11, 2024

Imagine you’re tasked with managing a critical data pipeline in Snowflake that processes and transforms large datasets. This pipeline consists of several sequential tasks: Task A: Loads raw data into a staging table. Task B: Transforms the data in the staging table.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Workflow 52

Hevo

APRIL 27, 2023

In today’s data-driven world, businesses collect and store vast amounts of data from various sources. However, raw data is often unstructured, inconsistent, and may not be immediately usable for analysis or decision-making. That’s where data transformation comes into play.

Process 52

Process Raw Data Data Data Process 52

Hevo

MARCH 31, 2023

dbt is a data transformation tool used by data engineers to process raw data within data warehouses. While dbt is a robust tool for transformation, you should be aware of the dbt commands to harness the power of dbt. Mastering dbt commands will let you run complex asks on dbt projects.

Raw Data 52

Raw Data Data Warehouse Data Engineering Data Engineer 52

Hevo

MARCH 10, 2023

Organizations are adopting advanced analytics tools and technologies to comprehend their data as the world becomes more data-driven. dbt, an open-source software that converts raw data into analytics-ready datasets, has become popular recently.

Raw Data 52

Raw Data Datasets SQL Coding 52

Hevo

FEBRUARY 28, 2023

As raw data comes in various forms and sizes, it is essential to have a proper system to handle big data. One of the significant challenges is referencing data points as the complexities increase in data workflows.

Raw Data 52

Raw Data Data Workflow Big Data Systems 52

Hevo

FEBRUARY 28, 2023

In any data-driven organization, transforming data is challenging due to the sheer volume and complexity of big data. Organizations keep collecting data but find using raw data to obtain insights difficult. This leads to data silos, where data resides in data stores but is not used for long.

Raw Data 52

Raw Data Big Data Data 52

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 Lake Data 98

Hevo

FEBRUARY 21, 2023

BigQuery is a popular cloud-based data warehouse that allows for powerful analytics and querying at scale. However, many businesses struggle to effectively clean, standardize, and transform their raw data in BigQuery. This is […]

Raw Data 52

Raw Data Data Warehouse Data Cloud 52

Knowledge Hut

MARCH 7, 2024

The greatest data processing challenge of 2024 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data. Inability to process large volumes of data Out of the 2.5 quintillion data produced, only 60 percent workers spend days on it to make sense of it.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Snowflake

AUGUST 3, 2023

Secure access to data for Verivox and its customers Verivox also uses ThoughtSpot on Snowflake to give customers access to self-service dashboards, and has plans to carry this over to Snowflake Marketplace to offer raw data sharing. “In

Telecommunication 52

Telecommunication Insurance Raw Data Media 52