Snowflake

NOVEMBER 11, 2024

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. Additionally, we launched cross-region inference , allowing you to access preferred LLMs even if they aren’t available in your primary region.

Unstructured Data 91

Unstructured Data SQL AWS Healthcare 91

The Pragmatic Engineer

OCTOBER 17, 2024

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. As always, I have not been paid to write about this company and have no affiliation with it – see more in my ethics statement. Funding and team size The company got started thanks to a €150K ($165K) EU grant.

Cloud 314

Cloud AWS Metadata Cloud Computing 314

Snowflake

JANUARY 29, 2024

Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. In the case of raw data, it replicates it directly from the BigQuery storage layer.

Raw Data 124

Raw Data Aggregated Data Cloud Data 124

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. How can you use this data in budgeting, and what are the caveats to be aware of?

Software Engineer 201

Software Engineer Software Engineering Engineering Raw Data 201

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

NOVEMBER 22, 2024

Gone are the days of just dumping everything into a single database; modern data architectures typically use a combination of data lakes and warehouses. Think of your data lake as a vast reservoir where you store raw data in its original form—great for when you’re not quite sure how you’ll use it yet.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

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 98

Systems Raw Data Metadata Data Cleanse 98

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

Precisely

SEPTEMBER 25, 2023

What times of the day are busy in the area, and are roads accessible? Data enrichment helps provide a 360 o view which informs better decisions around insuring, purchasing, financing, customer targeting, and more. Together, data validation and enrichment form a powerful combination that delivers even bigger results for your business.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Snowflake

JUNE 21, 2024

You can utilize Snowflake-managed Iceberg tables to be a full participant in your data lake and take advantage of features like automated table maintenance, Automatic Clustering , transformation with Snowpark and much more. Supporting Iceberg as a storage format for Dynamic Tables will simplify data processing for data lakes and lakehouses.

Data Lake 123

Data Lake BI Business Intelligence Metadata 123

RandomTrees

MARCH 10, 2025

Predictive analytics and business intelligence (BI) solutions transform raw data into actionable insights, including real-time dashboards, forecasting capabilities, and scenario modelling. Enhancing Customer Experience Today’s customers want seamless, tailored experiences, which analytics technologies provide.

Retail 52

Retail Data Governance Hospitality Banking 52

Precisely

NOVEMBER 20, 2023

Imagine accessing more detail based on each customer’s home address. You need reference data sets from trusted, authoritative sources like Precisely to do that. The post Use Data Enrichment to Supercharge AI appeared first on Precisely.

Raw Data 121

Raw Data Insurance Data Portfolio 121

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 98

Engineering Raw Data Data Science Machine Learning 98

Snowflake

JUNE 6, 2024

A look inside Snowflake Notebooks: A familiar notebook interface, integrated within Snowflake’s secure, scalable platform Keep all your data and development workflows within Snowflake’s security boundary, minimizing the need for data movement. Access Snowflake platform capabilities and data sets directly within your notebooks.

SQL 109

SQL Python Machine Learning Data Workflow 109

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Government 119

Government Machine Learning Algorithm Raw Data 119

Edureka

MARCH 15, 2025

It is seamlessly integrated across Meta’s platforms, increasing user access to AI insights, and leverages a larger dataset to enhance its capacity to handle complex tasks. This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data.

Entertainment 70

Entertainment Retail Education Datasets 70

Snowflake

FEBRUARY 21, 2023

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. Multi-tenant security: It controls access to your data in customer-facing, multi-tenant environments.

AWS 131

AWS Building Raw Data Architecture 131

Towards Data Science

NOVEMBER 16, 2023

Extract and Load This phase includes VDK jobs calling the Europeana REST API to extract raw data. This example requires an active Internet connection to work correctly to access the Europeana REST API. This operation is a batch process because it downloads data only once and does not require streamlining.

Data Process 98

Data Process Process Raw Data Data 98

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

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

Data Engineering Podcast

MARCH 4, 2018

Can you provide some examples of the structures that could be created to facilitate data sharing across organizational boundaries? Many companies view their data as a strategic asset and are therefore loathe to provide access to other individuals or organizations.

Raw Data 100

Raw Data Machine Learning Data Pipeline Data 100

Edureka

MARCH 26, 2025

Multiple levels: Raw data is accepted by the input layer. What follows is a list of what each neuron does: Input Reception: Neurons receive inputs from other neurons or raw data. There is a distinct function for each layer in the processing of data: Input Layer: The first layer of the network.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

Christophe Blefari

APRIL 21, 2023

Access — you will be able to namespace models with groups and visibility. 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

Knowledge Hut

MAY 1, 2024

It looks like this: Data collection This part deals with the collection of raw data from various resources. All this data needs to be collected and stored in a place which is easy to access while working with the data. Data cleaning This is considered as one of the most important steps in data science.

Algorithm 98

Algorithm Data Science Raw Data Computer Science 98

The Pragmatic Engineer

JUNE 13, 2023

The CDN manages caching and path optimization from the customer to Agoda, mitigating some common local access problems of remote locations. It also utilizes this distributed platform for security purposes, enriching data sent to the on-prem fraud detection platform. For its data platform , Agoda builds on top of Spark.

Cloud 232

Cloud Database Utilities BI 232

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. Set refresh schedules as needed.

BI 111

BI Datasets SQL Raw Data 111

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 115

Deep Learning Machine Learning Raw Data Data Ingestion 115

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

Precisely

DECEMBER 13, 2023

Digital marketing is ideally suited for precise targeting and rapid feedback, provided that business users have access to the detailed demographic and geospatial data they need. To learn more read our eBook Validation and Enrichment: Harnessing Insights from Raw Data.

Raw Data 96

Raw Data Entertainment Data Validation Education 96

Monte Carlo

JULY 30, 2024

Data teams can use uniqueness tests to measure their data uniqueness. Uniqueness tests enable data teams to programmatically identify duplicate records to clean and normalize raw data before entering the production warehouse.

Data Validation 96

Data Validation Datasets Medical Raw Data 96

Knowledge Hut

DECEMBER 26, 2023

SaaS Software as a Service is a cloud hosting model where users subscribe to gain access to services instead of purchasing software or equipment. Informatica Informatica is a leading industry tool used for extracting, transforming, and cleaning up raw data.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

U-Next

FEBRUARY 26, 2023

Aside from this asset, some of the advantages are as follows: Increased flexibility: As more people work online, HR departments and workers are searching for ways to monitor data from a distance. An HR analytics dashboard allows for real-time HR-to-employee communication and access to critical information.

BI 97

BI Recruitment Raw Data Utilities 97

Towards Data Science

MAY 14, 2024

Dataform enables the application of software engineering best practices such as testing, environments, version control, dependencies management, orchestration and automated documentation to data pipelines. Dataform requires credentials to access GitHub when checking out the code stored on a remote repository.

Data Pipeline 97

Data Pipeline Coding Raw Data Accessible 97

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

Knowledge Hut

APRIL 26, 2024

In the real world, data is not open source , as it is confidential and may contain very sensitive information related to an item , user or product. But raw data is available as open source for beginners and learners who wish to learn technologies associated with data.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 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

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98