Knowledge Hut

JUNE 28, 2023

Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data. Structured data from databases, data warehouses, and operational systems. Goal Extracting valuable information from raw data for predictive or descriptive purposes.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

AltexSoft

AUGUST 3, 2021

Now, the primary function of data labeling is tagging objects on raw data to help the ML model make accurate predictions and estimations. That said, data annotation is key in training ML models if you want to achieve high-quality outputs. Guaranteeing high-quality data with consistency.

Datasets 59

Datasets High Quality Data Metadata Raw Data 59

Monte Carlo

DECEMBER 19, 2022

Too much data Too much data might not sound like a problem (it is called big data afterall), but when rows populate out of proportion, it can slow model performance and increase compute costs.

High Quality Data 52

High Quality Data Bytes Data SQL 52

Monte Carlo

AUGUST 31, 2023

Not long after data warehouses moved to the cloud, so too did data lakes (a place to transform and store unstructured data), giving data teams even greater flexibility when it comes to managing their data assets. That is the question – at least if you ask a data engineer.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

DataKitchen

OCTOBER 2, 2023

Providing a comprehensive suite of features, from alerts and analytics to fast integration and data tests, ‘The Traveler’ empowers the End-to-End Data Product Team to manage their data landscape proactively. The Hub Data Journey provides the raw data and adds value through a ‘contract.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

AltexSoft

AUGUST 25, 2021

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. Plus, you likely won’t be able to use too much data. Assessing text data quality.

Process 139

Process Deep Learning Datasets Machine Learning 139

DataKitchen

SEPTEMBER 21, 2023

Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Raw Data 70

Raw Data Data Business Intelligence High Quality Data 70

Monte Carlo

APRIL 24, 2023

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. There are two primary types of raw data.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

DataKitchen

JULY 27, 2023

Azure Databricks Delta Live Table s: These provide a more straightforward way to build and manage Data Pipelines for the latest, high-quality data in Delta Lake. Azure Blob Storage serves as the data lake to store raw data. Databricks Notebooks are often used in conjunction with Workflows.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Knowledge Hut

JANUARY 25, 2024

Trustworthy Analytics: Reliable data supports accurate statistical analysis. Enhanced Visualization: Clean data leads to clearer data visualizations. Efficient Machine Learning: High-quality data is vital for training accurate ML models. What is the difference between data cleaning and data transformation?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Cloudera

AUGUST 21, 2021

million customers worldwide, recognized how the immense volume of data they maintained could provide better insight into customers’ needs. Since leveraging Cloudera’s data platform, Rabobank has been able to improve its customers’ financial management. Rabobank , headquartered in the Netherlands with over 8.3

Banking 99

Banking Raw Data High Quality Data Business Intelligence 99

Monte Carlo

MAY 23, 2023

Business data assets at Assurance are loaded into the company’s lakehouse architecture through various methods, then stored in several data stores. The data team then uses tools like dbt and Airflow to refine, model and transform raw data into usable, query-able assets through Trino and Starburst.

Insurance 52

Insurance Business Intelligence Machine Learning Data 52

Monte Carlo

AUGUST 30, 2023

The `dbt run` command will compile and execute your models, thus transforming your raw data into analysis-ready tables. Once the models are created and data transformed, `dbt test` should be executed. This command runs all tests defined in your dbt project against the transformed data.

SQL 52

SQL Datasets Database High Quality Data 52

Databand.ai

JULY 10, 2023

Observability platforms not only supply raw data but also offer actionable insights through visualizations, dashboards, and alerts. Databand allows data engineering and data science teams to define data quality rules, monitor data consistency, and identify data drift or anomalies.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Data Engineering 52

DareData

JULY 29, 2020

With these points in mind, I argue that the biggest hurdle to the widespread adoption of these advanced techniques in the healthcare industry is not intrinsic to the industry itself, or in any way related to its practitioners or patients, but simply the current lack of high-quality data pipelines.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Monte Carlo

JANUARY 6, 2023

While tempting to write-off our product stakeholders as not understanding our field, it’s very often because analysts are stuck responding to rudimentary questions that could be addressed with better access to high-quality data, rather than spending time on more sophisticated, thorough, or profound analysis that clearly demonstrates their expertise.

Building 52

Building Project BI Data 52

Monte Carlo

JUNE 23, 2022

Whether the end result is a weekly report, dashboard, or embedded in a customer facing application, data products require a level of polish and data curation that is antithetical to unorganized sprawl. Your ability to pipe data is virtually limitless, but you are constrained by the capacity of humans to make it sustainably meaningful.

Big Data 40

Big Data Management Machine Learning Data Warehouse 40