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

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 134

Engineering Raw Data Machine Learning Utilities 134

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 141

BI Raw Data Coding Skills Coding 141

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 117

Raw Data Aggregated Data Cloud Data 117

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 278

Cloud AWS Metadata Cloud Computing 278

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 108

Raw Data Python Data 108

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

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 187

Software Engineer Software Engineering Engineering Raw Data 187

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

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 81

Architecture Raw Data Pipeline-centric Data Ingestion 81

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 82

Big Data Raw Data Aggregated Data Data 82

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

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 77

Systems Raw Data Metadata Data Cleanse 77

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 83

BI Raw Data Coding Skills Coding 83

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

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 111

BI Datasets SQL Raw Data 111

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

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 95

AWS Raw Data Relational Database Government 95

Cloudera

JANUARY 20, 2021

The value of the edge lies in acting at the edge where it has the greatest impact with zero latency before it sends the most valuable data to the cloud for further high-performance processing. Data Collection Using Cloudera Data Platform. STEP 1: Collecting the raw data.

Manufacturing 115

Manufacturing Data Warehouse Kafka Retail 115

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

Christophe Blefari

APRIL 21, 2023

Data Engineering at Adyen — "Data engineers at Adyen are responsible for creating high-quality, scalable, reusable and insightful datasets out of large volumes of raw data" This is a good definition of one of the possible responsibilities of DE.

Raw Data 130

Raw Data Data SQL Datasets 130

Cloudera

MAY 19, 2021

Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files. Common problems at this stage can be related to GPU versions. RAPIDS is only supported on Pascal or newer NVIDIA GPUs.

Machine Learning 140

Machine Learning Datasets Data Science Raw Data 140

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 88

Engineering Raw Data Data Science Machine Learning 88

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 Data Science Raw Data Computer Science 98

U-Next

FEBRUARY 26, 2023

Data: In this sheet, you can save the raw data tables. Enter Your Data Into Excel Spreadsheet You must select data sources before you can build an Excel Dashboard. If not, you must utilize external data sources. Select one of the import options from the Data tab.

BI 97

BI Recruitment Raw Data Utilities 97

Cloudera

NOVEMBER 17, 2020

The data and the techniques presented in this prototype are still applicable as creating a PCA feature store is often part of the machine learning process. . The process followed in this prototype covers several steps that you should follow: Data Ingest – move the raw data to a more suitable storage location.

Deep Learning 118

Deep Learning Machine Learning Raw Data Data Ingestion 118

Knowledge Hut

DECEMBER 26, 2023

Informatica Informatica is a leading industry tool used for extracting, transforming, and cleaning up raw data. Features: Gives accurate insights and transforms raw data Good data maintenance and monitoring Automated deployments Can execute multiple processes simultaneously 7.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Cloudera

FEBRUARY 22, 2023

The ADSB raw data queried using SSB looks similar to the following: For the purposes of this example we will omit the explanation of how to set up a data provider and how to create a table we can query. Please check our documentation to see how that’s done.

SQL 90

SQL Raw Data Programming Language Kafka 90

ThoughtSpot

SEPTEMBER 6, 2023

And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools. That’s why ThoughtSpot and Fivetran are joining forces to decrease the amount of time, steps, and effort required to go from raw data to AI-powered insights.

Data Workflow 105

Data Workflow Raw Data Data Lake Business Intelligence 105

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

DataKitchen

AUGUST 19, 2021

Placing responsibility for all the data sets on one data engineering team creates bottlenecks. Let’s consider how to break up our architecture into data mesh domains. In figure 4, we see our raw data shown on the left. First, the data is mastered, usually by a centralized data engineering team or IT.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

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

FEBRUARY 21, 2023

There’s no need for ETLs, pre-aggregations that sacrifice flexibility, or additional infrastructure that requires data engineering resources. Metrics API: It provides a Metrics API that not only gives meaning to your raw data but also empowers your dev teams across the company to build with a self-service analytics API.

AWS 125

AWS Building Raw Data Architecture 125

Data Engineering Podcast

DECEMBER 11, 2021

constraints on data manipulation, security, privacy concerns, etc.) How does Unomi help with the new third party data restrictions ? Why is access to raw data so important ? constraints on data manipulation, security, privacy concerns, etc.) How does Unomi help with the new third party data restrictions ?

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100