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

Cloudera

FEBRUARY 21, 2023

The one requirement that we do have is that after the data transformation is completed, it needs to emit JSON. data transformations can be defined using the Kafka Table Wizard. We will change the schema of the data to include the new field that we emitted in step 1. This might be OK for some cases.

SQL 111

SQL Kafka Raw Data Data 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 Cloud 104

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 2, 2024

An open-source monitoring tool called Prometheus is used to gather and aggregate metrics as time series data. Simply put, every item in a Kubernetes Prometheus store is a metric event that comes with a timestamp. Events are recorded in real time by Prometheus. Metrics" are the basic unit of data.

Architecture 98

Architecture Metadata Utilities Data Collection 98

Data Engineering Podcast

FEBRUARY 24, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council.

IT 100

IT Data Lake Data Pipeline Media 100

Knowledge Hut

MAY 3, 2024

Kafka offers better fault tolerance because of its event-driven processing. Processing Type Kafka analyses events as they often take place. Stream processing is highly beneficial if the events you wish to track are happening frequently and close together in time. A continuous processing model is an outcome.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Data Engineering Podcast

JULY 20, 2020

For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

Snowflake

MAY 15, 2023

Snowplow, a leading behavioral data collection platform, empowers organizations to generate first-party customer data to build granular customer journey maps in the Snowflake Data Cloud—a cloud-built data platform for organizations’ critical data workloads, such as marketing analytics.

Data Collection 78

Data Collection Utilities Cloud AWS 78

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

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

Netflix Tech

JUNE 4, 2019

Every time a placement event is triggered, titus-isolate queries a remote optimization service (running as a Titus service, hence also isolating itself… turtles all the way down ) which solves the container-to-threads placement problem. We also want to leverage kernel PMC events to more directly optimize for minimal cache noise.

Machine Learning 103

Machine Learning Metadata Systems Data Collection 103

Cloudera

APRIL 22, 2022

Short-term image data storage and real-time analysis might be performed on the cameras themselves, an in-network MEC node, or at-large data centre, perhaps with external AI resources or combined with other data sets. There may be particular advantages for location-specific data collected or managed by operators.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

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 Accessible Accessibility Engineering 98

Towards Data Science

APRIL 3, 2023

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. and what you are processing (what does the data look like)? In fact, you can think of it as being alive (if even for a short while). Listing 9–1.

Process 98

Process Data Lake Systems Data Engineering 98

Knowledge Hut

MAY 2, 2024

Analysis of data includes Condensation, Summarization, Conclusion etc., The Interpretation step includes drawing conclusions from the data collected as the figures don’t speak for themselves. Statistics used in Machine Learning is broadly divided into two categories, based on the type of analyses they perform on the data.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

DoorDash Engineering

AUGUST 15, 2023

These programs, designed to provide lightweight access to most components of the kernel, are sandboxed and validated for safety by the kernel before execution. Here we will take a look at how we built BPFAgent, the process of building and maintaining its probes, and how various DoorDash teams have used the data collected.

Bytes 84

Bytes PostgreSQL Coding Database 84

Snowflake

JANUARY 15, 2025

In this use case, we will use two data sets from Snowflake Marketplace: Worldwide Address Data , a free and open global address data collection, and a tutorial data set from our partner CARTO , which has a restaurant table with a single street_address column. You likely have that kind of data in your organization.

Transportation 81

Transportation BI Database-centric Metadata 81

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

Workfall

MARCH 7, 2023

Yew offers Rust’s rich type ecosystem which can be a great tool when it comes to ensuring data integrity on the client side. Meaning that we are directly accessing DOM elements. The other way might be to use onchange event on input fields but that might be expensive in the long run. What Is Form Handling? 2): home.rs(3):

PostgreSQL 79

PostgreSQL Database AWS Data Collection 79

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

Snowflake

MARCH 7, 2023

Or, more generally, in using data and analytics to drive sustainability performance? Here are 10 key takeaways from the event: 1. 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.

Transportation 97

Transportation Data Data Lake Retail 97

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Data Marts There is a thin line between Data Warehouses and Data Marts. Data models are built around business needs.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Knowledge Hut

DECEMBER 26, 2023

With UPI, even a vegetable vendor or a small business owner can access high-end new technology (Newest tech). It allows businesses to access applications and services through the internet. It refers to the use of data acquired from internet-connected devices. Another burgeoning field with enormous potential is data science.

Technology 98

Technology Cloud Computing Healthcare Data Science 98

Confluent

JUNE 13, 2019

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in some cases (I collected the data for my Ph.D. thesis this way), the field of astronomy is rapidly changing into a data-intensive science with real-time needs.

Kafka 102

Kafka Bytes Python Data Pipeline 102

Knowledge Hut

JUNE 4, 2024

Creating this plan means knowing exactly what steps to take in the event of a cyber-attack and comprising the possible could take place. Systems for Intrusion Detection (IDS / IPS) Security Incident and Event Management Systems (SIEM) Spam Filter/Anti-Phishing. Visibility is another critical factor in the event of an incident.

Insurance 98

Insurance Data Security Education Technology 98

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Engineering at Meta

NOVEMBER 12, 2024

The available data improves our decision-making process while prioritizing quantum-vulnerable use cases How cryptographic monitoring works at Meta Effective cryptographic monitoring requires storing persisted logs of cryptographic events, upon which diagnostic and analytic tools can be used to gather further insights.

Algorithm 81

Algorithm Datasets Coding Java 81

Netflix Tech

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

Systems 94

Systems Media Machine Learning Data Warehouse 94

Knowledge Hut

OCTOBER 26, 2023

A Survey form Forms are frequently used in internet user data collection tactics. Event page You can try your hand at this simple DIY as well! It will entail building a static page that displays information about an event (conference, webinar, product launch, etc.). The event page will have a straightforward design.

Coding 98

Coding Project Portfolio Media 98

Confluent

FEBRUARY 6, 2019

The data scientist “just” deploys its trained model, and production engineers can access it. While all these solutions help data scientists, data engineers and production engineers to work better together, there are underlying challenges within the hidden debts: Data collection (i.e.,

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

AUGUST 20, 2021

For example, the Cloudera Data Flow experience offers an integrated event processing capability to deliver low-latency analytics by combining Flow Management (using Apache NiFi), Streams Messaging (using Apache Kafka) and Stream Processing / Analytics (using Apache Flink / SQL Stream Builder). A Robust Security Framework.

Data Warehouse 98

Data Warehouse Data Cloud Architecture 98

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

Process 71

Process Kafka Government Big Data 71

Knowledge Hut

MAY 29, 2024

Datasets for Data Visualization Below mentioned are some of the best datasets for data visualization which are also useful datasets for data visualization projects : BuzzFeed BuzzFeed is a popular media organization that not only provides entertaining content but also offers publicly accessible datasets.

Datasets 52

Datasets Transportation Entertainment Media 52

AltexSoft

JUNE 7, 2021

The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster. Data access options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Government Machine Learning Data Science 75

Cloudera

JANUARY 11, 2021

I want to thank you all for joining and attending these events! I received hundreds of questions during these events, and my colleagues and I tried to answer as many as we could. What is the best way to expose REST API for real-time data collection at scale? The most common protocol is HTTP.

Kafka 62

Kafka Java Data Cleanse Datasets 62