Rockset

MARCH 27, 2019

The application you're implementing needs to analyze this data, combining it with other datasets, to return live metrics and recommended actions. But how can you interrogate the data and frame your questions correctly if you don't understand the shape of your data? Where do you begin?

Raw Data 40

Raw Data SQL NoSQL Datasets 40

Maxime Beauchemin

AUGUST 28, 2017

Traditionalists would suggest starting a data stewardship and ownership program, but at a certain scale and pace, these efforts are a weak force that are no match for the expansion taking place.

Data Engineer 174

Data Engineer Data Engineering Engineering Software Engineer 174

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

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. What perspectives and opportunities could you uncover?

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

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. Synthetic data are AI generated data.

Raw Data 130

Raw Data Data SQL Datasets 130

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. Enrichment: The Secret to Supercharged AI You’re not just improving accuracy by augmenting your datasets with additional information.

Raw Data 121

Raw Data Insurance Data Portfolio 121

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

AltexSoft

MAY 12, 2022

For further steps, you need to load your dataset to Python or switch to a platform specifically focusing on analysis and/or machine learning. Labeling of audio data in Audacity. Source: Towards Data Science. Voice and sound data acquisition. Free data sources. Commercial datasets. Expert datasets.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

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

AltexSoft

AUGUST 25, 2021

You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. It’s called deep because it comprises many interconnected layers — the input layers (or synapses to continue with biological analogies) receive data and send it to hidden layers that perform hefty mathematical computations.

Process 139

Process Deep Learning Datasets Machine Learning 139

Data Engineering Podcast

DECEMBER 16, 2019

Summary Building clean datasets with reliable and reproducible ingestion pipelines is completely useless if it’s not possible to find them and understand their provenance. The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Knowledge Hut

OCTOBER 27, 2023

In this article, we will be discussing 4 types of d ata Science Projects for resume that can strengthen your skills and enhance your resume: Data Cleaning Exploratory Data Analysis Data Visualization Machine Learning Data Cleaning A   data scientist,   most likely spend nearly 80% of their time cleaning data.

Data Science 96

Data Science Coding Project Datasets 96

Cloudera

NOVEMBER 17, 2020

Once the prototype has been completely deployed, you will have an application that is able to make predictions to classify transactions as fraudulent or not: The data for this is the widely used credit card fraud dataset. Data analysis – create a plan to build the model.

Deep Learning 118

Deep Learning Machine Learning Raw Data Data Ingestion 118

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

Knowledge Hut

JULY 4, 2023

Data analysis and Interpretation: It helps in analyzing large and complex datasets by extracting meaningful patterns and structures. By identifying and understanding patterns within the data, valuable insights can be gained, leading to better decision-making, and understanding of underlying relationships.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

DECEMBER 22, 2023

Linear Algebra Linear Algebra is a mathematical subject that is very useful in data science and machine learning. A dataset is frequently represented as a matrix. Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

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

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Random data doesn’t do it — and production data is not safe (or legal) for developers to use. does exactly that. does exactly that.

Data Management 100

Data Management Management MongoDB MySQL 100

Confluent

SEPTEMBER 26, 2019

® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). Let’s now dig a little bit deeper into Kafka and Rockset for a concrete example of how to enable real-time interactive queries on large datasets, starting with Kafka.

Kafka 21

Kafka SQL BI Hadoop 21

LinkedIn Engineering

APRIL 4, 2023

raw data path, column mappings, aggregation function to be used, etc.) We introduced a data standardization step that mapped a raw metric dataset into a standardized dataset that our metric processing logic would understand. We did that by separating the metric’s configuration logic (i.e.

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

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

Christophe Blefari

JANUARY 14, 2023

import polars as pl Then I can do my first CSV import, in the example I load a French railway open dataset about lost and found objects in stations. df = pl.read_csv("lost-objects-stations.csv", sep=";") Then you can use the same code as pandas to select the data (head, ["col"], etc.). seed round.

Python 130

Python Kafka Data Scala 130

Towards Data Science

NOVEMBER 16, 2023

Unlike streaming data, which needs instant processing, batch data can be processed at scheduled intervals or when resources become available. Splittable in chunks : instead of processing an entire dataset in a single, resource-intensive operation, batch data can be divided into smaller, more manageable segments.

Data Process 73

Data Process Process Raw Data Data 73

U-Next

MARCH 7, 2023

Define Data Wrangling The process of data wrangling involves cleaning, structuring, and enriching raw data to make it more useful for decision-making. Data is discovered, structured, cleaned, enriched, validated, and analyzed. Values significantly out of a dataset’s mean are considered outliers.

Data Mining 96

Data Mining Government Scala Data Governance 96

Precisely

SEPTEMBER 19, 2024

All of that is critical to understand that you are treating the data ethically and that you’re actually presenting to the AI model a dataset that is fit for purpose.” To minimize bias, you need to ensure a balanced, diverse, and representative training dataset,” explains Budalescu.

Data Governance 78

Data Governance Government High Quality Data Datasets 78

Ripple Engineering

JULY 9, 2024

This pivotal component interfaces with the XRPL via a WebSocket secure connection (WSS), marking the beginning of our data journey. Upon extraction, the raw data enters the 'Bronze' stage through the Ingestion API, where it is stored as our initial, unprocessed dataset.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 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

Knowledge Hut

JANUARY 18, 2024

It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data. Both data science and software engineering rely largely on programming skills. However, data scientists are primarily concerned with working with massive datasets.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

FEBRUARY 8, 2023

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

AWS 98

AWS Metadata Scala Data Lake 98

Maxime Beauchemin

JANUARY 7, 2018

While business rules evolve constantly, and while corrections and adjustments to the process are more the rule than the exception, it’s important to insulate compute logic changes from data changes and have control over all of the moving parts.

Data Engineer 183

Data Engineer Data Engineering Data Process Process 183

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. Those are the features and their respective data types: Image 1 —Features and data types.

Machine Learning 73

Machine Learning Building Datasets Big Data 73

Workfall

JULY 18, 2023

Behind the scenes, a team of data wizards tirelessly crunches mountains of data to make those recommendations sparkle. As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scalable.

Datasets 77

Datasets Entertainment Data Workflow Data 77

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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. This includes SQL queries, macros, […]

Raw Data 52

Raw Data Datasets SQL Coding 52

dbt Developer Hub

SEPTEMBER 28, 2022

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. You’re in the perfect position to get this curated dataset completed quickly! You’ve got three steps that stand between you and your finished curated dataset. Or are you?

Engineering 52

Engineering Raw Data Datasets BI 52

Knowledge Hut

NOVEMBER 27, 2023

This is important because this will help you understand what areas to focus on while following the Data Science Learning Path. Is it the part where you turn raw data into useful ones, or it the part where you engineer new features out of the existing ones in order to help create suitable models?

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Have I Checked The Raw Data And The Integrated Data?

Raw Data 53

Raw Data Data Ingestion Datasets Data 53