Netflix Tech

OCTOBER 19, 2020

Investigating a video streaming failure consists of inspecting all aspects of a member account. In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. The process started with manual pull of member account information that was part of the session.

Building 93

Building Transportation Metadata Java 93

Snowflake

DECEMBER 12, 2023

Whether assigning tags, implementing masking policies, or applying row access policies, the process is easy and simple. The intuitive dashboard provides seamless navigation to desired databases and schemas, offering detailed reporting on tags and policies and the ability to take immediate action to apply them. Learn more here.

Metadata 90

Metadata Python AWS Government 90

ProjectPro

JANUARY 24, 2023

SpaCy SpaCy is an open-source library in Python that is used for completing Natural Language Processing (NLP) tasks. SpaCy comes with two powerful functionalities, namely, Parts-of-speech (POS) Tagging and Named-Entity Recognition Tagging. It can be used for web mining, network analysis, and text processing.

Python 52

Python Project Programming Language Data Mining 52

Cloudera

NOVEMBER 19, 2020

This type of framework requires a streaming environment that provides continuous updates coupled with model performance monitoring to ensure consistent performance. . The modeling process begins with data collection. These scores enable a concept called threshold-based anomaly tagging. The Public Sector data challenge.

Government 117

Government Machine Learning Algorithm Raw Data 117

Rock the JVM

AUGUST 9, 2022

In this post, we’re going to go over an introduction to the main components of ZIO Streams, how to work with them when things go right, and what to do when things go wrong. As a toy example, we’re going to take a brief foray into asynchronous operations, by connecting two streams to the same concurrent data structure.

Scala 40

Scala Bytes Kafka Programming 40

Lyft Engineering

OCTOBER 3, 2023

Streaming compute however, empowers more complex window queries on semantic correctness. These flow through Kafka , our event streaming platform, before being processed by Flink , our streaming compute framework. Check Development  —  The process of interactively creating and testing Check Definitions with our VerityCLI.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Knowledge Hut

FEBRUARY 1, 2024

Movie Recommendation System Architecture The movie recommendation system architecture is a complex process that utilizes various algorithms to suggest movies to users based on their preferences. Contextual Features: Contextual information like user demographics, location, or viewing device can enhance the recommendation process.

Systems 98

Systems Entertainment Algorithm Datasets 98

Cloudera

OCTOBER 18, 2022

We were also able to attribute indirect costs, such as network charges, by joining this data back to instance data that was already tagged, a feature lacking in the SaaS product. One of the core requirements to successfully understand your cloud spend is having your resources properly tagged.

Cloud 86

Cloud IT Data Warehouse AWS 86

AltexSoft

AUGUST 29, 2023

The term data lake itself is metaphorical, evoking an image of a large body of water fed by multiple streams, each bringing new data to be stored and analyzed. Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JUNE 26, 2023

That depends on the business use case, use case complexity, workflow complexity, and whether batch or streaming data is required. Use Nifi for ETL of streaming data, when real-time data processing is needed, or when data must flow from various sources rapidly and reliably.

ETL Tools 75

ETL Tools Programming Language Datasets Data Pipeline 75

Cloudera

MARCH 23, 2023

Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. What is a materialized view? Please check our documentation to see how that’s done.

SQL 78

SQL Kafka PostgreSQL Database 78

Rock the JVM

JANUARY 22, 2024

Setup Start by cloning this repository and checking out the start tag. flatMap ( jobs => Ok ( jobs )) } The process is find all the jobs by calling jobs.all encode the list of Jobs as JSON (automatic) return a 200 OK with the payload Currently, we just have two private fields. If you’re interested, check out the course here.

Scala 58

Scala SQL Database Coding 58

Workfall

AUGUST 29, 2023

Amazon’s Prime membership offers added benefits, including fast shipping, streaming services, and exclusive deals. It simplifies the process of extracting data from web pages, allowing developers to navigate the HTML tree and locate specific elements effortlessly. We will use this class name in the next step.

Python 93

Python Pipeline-centric Programming Language Coding 93

Data Engineering Podcast

OCTOBER 12, 2020

Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms.

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

Knowledge Hut

APRIL 19, 2024

On the other hand, a script is a file consisting of a logical sequence of instructions or a batch-processing file that is interpreted by another program instead of the computer processor. Loops back and the process gets repeated. It is an intermediate, machine-independent code that optimizes the process of code execution.

Python 98

Python Programming Language Programming Coding 98

AltexSoft

DECEMBER 21, 2021

.” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass. A label or a tag is a descriptive element that tells a model what an individual data piece is so it can learn by example. What is data labeling?

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 82

Process Kafka SQL Machine Learning 82

Snowflake

MARCH 30, 2023

Just as a dimensional data model will transform data for human consumption, ML models need raw data transformed for ML model consumption through a process called “ feature engineering.” Supporting streaming ingestion Now that we know how to get data into Snowflake, let’s turn our attention to feature engineering options within Snowflake.

Engineering 83

Engineering Raw Data Data Science Scala 83

Netflix Tech

SEPTEMBER 2, 2020

When a problem occurs, we put on our detective hats and start our mystery-solving process by gathering evidence. Distributed tracing is the process of generating, transporting, storing, and retrieving traces in a distributed system. A tag might indicate there was an error but doesn’t fully answer the question of what happened.

Metadata 118

Metadata Transportation Engineering Systems 118

Cloudera

JANUARY 20, 2021

Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement. This story will show how data is collected, enriched, stored, served, and then used to predict events in the car’s manufacturing process using Cloudera Data Platform. Data Collection Challenge.

Manufacturing 106

Manufacturing Data Warehouse Kafka Retail 106

Tweag

OCTOBER 11, 2023

A processing step can produce effects in a monad m , and occurs every time a Clock of type cl ticks. A clock is, for our purposes, a stream of timestamps Time cl , which may depend on the clock type cl. Thus, one cannot accidentally intermingle, say, the audio and video stream of a multimedia application. We lack inference.

Machine Learning 72

Machine Learning Algorithm Programming Process 72

AltexSoft

NOVEMBER 1, 2023

Named entity recognition (NER) is a subfield within natural language processing (NLP) that focuses on identifying and classifying specific data points from textual content. POS tagging. Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 2, 2024

The process of designing, developing, and managing websites is referred to as web development. The process of front-end development entails focusing on the elements of a website that visitors see and use, such as the layout, design, and user interface. What is Web Development?

Media 52

Media Designing Accessible Accessibility 52

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. Kafka APIs.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Snowflake

JUNE 27, 2023

The Classification UI (in private preview) provides customers with an intuitive workflow in Snowsight to classify and tag tables in the desired schema while the Data Governance UI (in GA soon) offers an at-a-glance summary of tagged and protected assets in Snowsight, with workflows to take action.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

Rock the JVM

OCTOBER 1, 2023

In the following sections, we’ll create a gRPC server and client that will process streams of orders sent from an online store. The “= 1”, “= 2” and “= 3” are unique tags used by each field in binary encoding. Stream [ F , com.rockthejvm.protos.orders.OrderRequest ], ctx : A ) : _ root_.fs2.Stream import cats.effect.

Scala 63

Scala Metadata Transportation Java 63

Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. Beyond just collection and storage, what is your process for defining a taxonomy of the audio data that you are working with?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Netflix Tech

SEPTEMBER 29, 2022

We then codify this prefix as a Redis hash tag. A snippet from the PriorityClass enum used by a streaming encoding pipeline in Cosmos. For instance a streaming encoding pipeline within Cosmos uses mail priority classes, as shown in Figure 3. We achieve this by having them share a common prefix, specific to the queue in question.

Systems 85

Systems Metadata Media Kafka 85

Data Engineering Podcast

APRIL 19, 2021

In this episode Tal Galfsky explains how he and the team at Cherre tackled the problem of messy data for Addresses by building a natural language processing and entity resolution system that is served as an API to the rest of their pipelines. Lots, buildings, units.

Data Pipeline 100

Data Pipeline Machine Learning Data Warehouse Datasets 100

Knowledge Hut

JANUARY 31, 2024

ITIL defines four dimensions to represent the various resources used in ITIL, like people, products, processes, and suppliers. Organizations and People Information and Technology Partners and Suppliers Value Streams and Processes Here is a quick view of the ITIL SVS, also called SVC(Service Value Chain).

Process 52

Process Certification Telecommunication Database 52

Cloudera

SEPTEMBER 28, 2020

Modernize their architecture to ingest data in real-time using the new streaming features available in CDP Private Cloud Base in order to make the data available to their users quickly. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. New Features CDH to CDP. Identifying areas of interest for Customer A. Phase 1: Planning.

Cloud 131

Cloud Kafka Professional Services Metadata 131

DareData

NOVEMBER 28, 2023

By logging the various metrics, parameters, and artifacts [2] –this is just a more general way of saying models and other useful objects– associated with each try, one can create a detailed record of the experimentation process. Two nice features of Prefect: It is written in Python! It can call tasks and other flows –named subflows.

Data Science 52

Data Science Medical Machine Learning Data 52

Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex.

Medical 87

Medical Hospitality Data Lake Healthcare 87

Cloudera

MAY 26, 2021

In this blog we are going to demonstrate how these audit events can be streamed to a third-party SIEM platform via syslog or they can be written to a local file where existing SIEM agents may be able to pick them up. The events below were recorded by an Rsyslog server running on a remote server with a custom configuration : HDFS. salary, s08.salary,r

Systems 72

Systems Cloud Hadoop Healthcare 72

Lyft Engineering

SEPTEMBER 27, 2022

The journey of evolving our streaming platform and pipeline to better scale and support new use cases at Lyft. MVP After much deliberation, we decided that streaming engines would be a better fit for our requirements and selected Apache Beam. Decrease development time and increase product iteration speed.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

Confluent

MARCH 26, 2019

We will cover Kafka clients, Kafka Streams applications, Kafka Connect pipelines and KSQL. how long it takes to execute an operation) and additional metadata like annotations and tags. A distributed tracing system is designed to collect, process and store tracing data to be queried and visualized later.

Kafka 111

Kafka Transportation Metadata Consulting 111

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. Obviously, Big Data processing involves hundreds of computing units. processing layer called MapReduce. What is Hadoop.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98