Snowflake

SEPTEMBER 18, 2023

Bring data and ML models to life Interactive visualizations Data teams now have the ability to build a whole range of new and exciting applications that were not possible before. With Streamlit, app builders can create interactive data apps that allow for much more than just static visualizations.

Python 143

Python Building Cloud Amazon Web Services 143

Snowflake

MARCH 12, 2025

Spaulding Ridge specializes in turning data challenges into competitive advantages by allowing sports entities to unify their data on modern cloud platforms, enabling a single, accessible and actionable view of each fan while helping ensure compliance with evolving data regulations.

Media 80

Media Cloud Data Collection Programming 80

Precisely

DECEMBER 12, 2024

Understanding Bias in AI Bias in AI arises when the data used to train machine learning models reflects historical inequalities, stereotypes, or inaccuracies. This bias can be introduced at various stages of the AI development process, from data collection to algorithm design, and it can have far-reaching consequences.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Data Pipeline 118

Data Pipeline Building Manufacturing Data Warehouse 118

Snowflake

JULY 8, 2024

European Union (EU) data sovereignty Snowflake’s first zonal repository outside of the US will be located in the EU to house usage data collected from the region. Select usage data will be sent from the zonal to the global repository. Snowflake continues to invest in supporting some of the U.S.

Cloud 111

Cloud Google Cloud Education AWS 111

Cloudera

JUNE 2, 2022

Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Systems 104

Systems Data Lake Google Cloud Data Collection 104

Data Engineering Weekly

MARCH 2, 2025

While prompt engineering’s lower learning curve and accessibility make it a valuable complement, it falls short in precision, reliability, and scalability. link] Netflix: Cloud Efficiency at Netflix Data is the Key Optimization starts with collecting data and asking the right questions.

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Data Engineering Podcast

APRIL 28, 2024

In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Netflix Tech

FEBRUARY 14, 2025

This refined output is then structured using an Avro schema, establishing a definitive source of truth for Netflixs impression data. The enriched data is seamlessly accessible for both real-time applications via Kafka and historical analysis through storage in an Apache Iceberg table.

Kafka 66

Kafka Datasets Metadata Utilities 66

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

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Snowflake

DECEMBER 6, 2023

While watching a loved one experience a health issue, it became glaringly obvious there was a disconnect in healthcare data and the way providers are able to access and act on it. Every time we had a visit to a primary care physician, an ER trip or a referral to a specialist, data was collected.

Healthcare 111

Healthcare Aggregated Data Medical Machine Learning 111

Edureka

JANUARY 27, 2025

The goal is to exploit vulnerabilities in network devices, misconfigurations, and insecure protocols to gain unauthorized access or control. Red teams attempt to deceive employees into disclosing confidential information or granting access to restricted resources.

Certification 52

Certification Media Education Programming 52

U-Next

MARCH 7, 2023

This makes accessing data, whether it be online or offline, quite simple. How to Build a Customer Data Platform: There are four steps to creating a customer data platform : Integrate the Data: Any customer data platform should start by compiling all pertinent first-person consumer data into a single, centralized database.

Bytes 98

Bytes Media Data Data Collection 98

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Security 90

Data Security Telecommunication Data Lake Data Governance 90

Cloudera

SEPTEMBER 29, 2021

Bigger budgets give them easier access to the tools and expertise that support data-driven organizations. And that means overcoming the challenges of implementing data-driven strategies: High Price — Data collection, management and analytics can get costly. In this race, enterprises have an advantage.

Data Collection 79

Data Collection Data Analytics Big Data Accessibility 79

Knowledge Hut

JANUARY 2, 2024

Monitoring had to be made more accessible, democratized and expanded to include additional stack tiers. Multi-dimensional data model Similar to how Kubernetes labels infrastructure metadata, the model's structure is built on key-value pairs. YAML files are used by Prometheus to access resources. scrape: 'true' prometheus.io/port:

Architecture 98

Architecture Metadata Utilities Data Collection 98

Snowflake

JANUARY 18, 2024

Its single data repository supports structured, semi-structured, and unstructured data from ERP systems (both on-premises and cloud), third-party systems and signal data, allowing users across the enterprise to access trusted business content.

Manufacturing 111

Manufacturing Unstructured Data Cloud Architecture 111

Knowledge Hut

MARCH 7, 2024

The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized. However, regulating access is one of the primary challenges for companies who frequently work with large sets of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Edureka

MARCH 26, 2025

This AI is redefining industries such as customer service, education, and broadcasting by transforming digital interactions into meaningful, human-like experiences that make technology more accessible and relatable to everyone. Cleansing and cleaning this data makes sure that it can be used to train machine learning models.

Education 45

Education Media Deep Learning Machine Learning 45

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Snowflake

OCTOBER 25, 2023

Lastly, if the marketing vendor solution under evaluation requires access to data using traditional file transfers, this results in additional, potential risks. Specifically, marketers should probe vendors about how they will be using the brand’s data, and whether they need to persist that data for the solution to work.

Government 111

Government Accessibility Accessible Technology 111

Snowflake

JULY 31, 2024

To accomplish these goals, AMCs need a modern data strategy that includes a robust, cloud-based data foundation and capabilities such as generative AI, data and AI applications, easy access to third-party data, and seamless data sharing and collaboration.

Medical 98

Medical Healthcare Insurance Hospitality 98

Striim

MARCH 21, 2025

To access real-time data, organizations are turning to stream processing. There are two main data processing paradigms: batch processing and stream processing. Take a streaming-first approach to data integration The first, and most important decision is to take a streaming first approach to integration.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Cloudera

SEPTEMBER 3, 2020

The beauty of data is that there isn’t a sector or cause where data can’t be applied to make things better. Data allows us to address critical issues and work toward solutions. As public data sets and access to them continue to grow, more organizations will be able to use data for good.

Consulting 99

Consulting Education Data Collection Programming 99

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

Striim

FEBRUARY 26, 2025

Striims real-time data integration capabilities bring several benefits: Non-Intrusive and Secure Data Collection : Striim collects data securely and reliably from your Intercom platform without disrupting your operations, allowing for continuous, real-time customer insights. How Does Striim Add Value?

Data Integration 40

Data Integration Data Collection Data Security Cloud 40

Snowflake

MARCH 7, 2023

For example, utilizing data infrastructures that can scale compute resources up and down to handle fluctuating demand will inherently be more energy efficient than a data warehouse with regimented sizing. You should use the data you already have. Data collection and disclosure requirements keep shifting.

Transportation 100

Transportation Data Data Lake Data Collection 100

Pinterest Engineering

JANUARY 24, 2023

Armen Tashjian | Security Engineer, Corporate Security Intro Pinterest has enforced the use of managed and compliant devices in our Okta authentication flow, using a passwordless implementation, so that access to our tools always requires a healthy Pinterest device. Our appetite for network-centric security controls has diminished.

Certification 98

Certification Accessibility Accessible Engineering 98

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. First, lots of people are ready to share their data with you in exchange for incentives and reduced premiums. Then, make sure you have data collection channels that provide you with relevant data needed for your tasks.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Snowflake

JULY 26, 2023

Meanwhile, the nursing shortage also presents a public health crisis , as it affects access to and quality of patient care for all of us. Although data alone may not be able to solve the nursing crisis, it can make a significant impact. Data is the lifeblood of advanced analytics.

Hospitality 98

Hospitality Healthcare Insurance Medical 98

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. What are the biggest data-related challenges that you face (technically or organizationally)?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Podcast

FEBRUARY 24, 2020

What are some of the risks associated with these implementations of data collection, storage, management, or analysis that have no oversight from the teams typically tasked with managing those systems? What are some of the ways that compliance or data quality issues can arise from these projects?

IT 100

IT Data Lake Data Pipeline Media 100

Towards Data Science

DECEMBER 4, 2023

We won’t be alone in this data collection; thankfully, there are data integration tools available in the market that can be adopted to configure and maintain ingestion pipelines in one place (e.g. Data Marts There is a thin line between Data Warehouses and Data Marts.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

U-Next

MARCH 1, 2023

They are also responsible for ensuring that the data is clean and organized, as well as making sure that it’s easily accessible to other departments within the company. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Towards Data Science ). Forrester ).

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79