ProjectPro

JANUARY 24, 2023

SpaCy comes with two powerful functionalities, namely, Parts-of-speech (POS) Tagging and Named-Entity Recognition Tagging. The library supports scalable solutions by utilizing Python’s in-built iterators and generators for streamed data processing. It is well-suited for solving industry-level problems.

Python 52

Python Project Programming Language Data Mining 52

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. This has useful aggregations like owning team, table name, and tags.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

OCTOBER 26, 2020

Across the world, 5G networks are being rolled out, unleashing new real-time streams of data. Provided new data is automatically classified and tagged, the right data access rules can be applied based on that data’s characterization. Not a day goes by without virtual conversations, creating masses of unstructured data.

Data Security 116

Data Security IT Unstructured Data Government 116

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. Tree Schema includes essential cataloging features such as first class support for both tabular and unstructured data, data lineage, rich text documentation, asset tagging and more.

Process 100

Process Unstructured Data Metadata Data Engineering 100

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. So which open source pipeline tool is better, NiFi or Airflow?

ETL Tools 75

ETL Tools Programming Language Datasets Data Pipeline 75

Knowledge Hut

FEBRUARY 1, 2024

Filtration Strategies for Movie Recommendation Systems As the online streaming industry expands, the movie recommender system is becoming increasingly important to individual users & production companies alike. It includes a vast amount of data that has been widely used for benchmarking recommendation algorithms.

Systems 98

Systems Entertainment Datasets Algorithm 98

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

Data Engineering Podcast

OCTOBER 12, 2020

Equalum’s end to end data ingestion platform is relied upon by enterprises across industries to seamlessly stream data to operational, real-time analytics and machine learning environments. Equalum combines streaming Change Data Capture, replication, complex transformations, batch processing and full data management using a no-code UI.

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

Workfall

AUGUST 29, 2023

Amazon’s Prime membership offers added benefits, including fast shipping, streaming services, and exclusive deals. Our next task is to search for the price of the product within this file and make note of the class of the HTML tag where the price is stored. Note down the class name of the HTML tag where the price is located.

Python 93

Python Pipeline-centric Programming Language Coding 93

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 80

Process Kafka SQL Machine Learning 80

Knowledge Hut

JANUARY 2, 2024

For example, the Netflix website enables users to stream movies and television episodes from any device at any time, with no restrictions on time or place. This has enabled the business to amass a sizable fan base and establish itself as a major force in the streaming sector.

Media 52

Media Designing Accessible Accessibility 52

Knowledge Hut

APRIL 19, 2024

Redirecting output Windows and Unix-like systems have a process called stream redirection. You can redirect the output of your stream to some other file format instead of the standard system output. To initiate a Python interactive session, type python in the command line or terminal and hit the ENTER key from the keyboard.

Python 98

Python Programming Language Programming Coding 98

Cloudera

JANUARY 20, 2021

Managing the complexity of real-time data: In order for ECC to drive predictive analytics use cases, a data management platform needs to enable real-time analytics on streaming data. To keep the example simple, the following data attribute tags were chosen for each part generated by the factories: . Factory ID. Machine ID.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

Rockset

JULY 1, 2021

We’ll need to create a Kinesis stream and a DMS Target Endpoint for every MySQL database table on a MySQL server. From here, we’ll need to create a role that’ll give the Kinesis Stream full access. Similarly, for the Kinesis Stream ARN , put the ARN for the Kinesis Stream we created. Then, we got the average price.

MySQL 52

MySQL AWS Data Database 52

Rockset

JANUARY 26, 2023

rockset_s3_collection.movies.name}"] name = "movies" workspace = rockset_workspace.blog.name } For instance, if we started to ingest movies from a Kafka stream, we can update the alias to reference the new collection and all queries start using it immediately. resource rockset_alias movies { collections = ["${rockset_workspace.blog.name}.${rockset_s3_collection.movies.name}"]

AWS 52

AWS SQL Datasets Kafka 52

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

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming.

Data Pipeline 100

Data Pipeline Machine Learning Data Warehouse Datasets 100

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. on roadmap).

Cloud 130

Cloud Kafka Professional Services Metadata 130

Knowledge Hut

JANUARY 31, 2024

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). CMDBs also allow IT teams to tag configuration items with relevant incident reports for future tracking and knowledgebase enrichment.

Process 52

Process Certification Telecommunication Database 52

Data Engineering Podcast

JUNE 29, 2020

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. And don’t forget to thank them for their continued support of this show!

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Cloudera

DECEMBER 11, 2020

Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital. I had the pleasure of introducing this year’s finalists, streaming on video, of course, live from my garden shed at home. GDPR, CCPA, HIPAA.)

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Striim

JANUARY 4, 2023

Data contract fulfillment using stream processing jobs (using KSQL, for example) to process CDC events and output a schema that matches the previously-defined data contract. Striim is using Streaming SQL to filter tables in your PostgreSQL based on data contracts. Data contract monitoring to catch changes in the semantics of your data.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 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 stream processing application will parse the JSON messages, and filter and produce Avro-formatted records. Distributed tracing with Zipkin.

Kafka 111

Kafka Transportation Metadata Consulting 111

Cloudera

AUGUST 18, 2021

It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. Data source diversity also must be addressed because it, too, adds complexity.

Medical 87

Medical Hospitality Data Lake Healthcare 87

Knowledge Hut

APRIL 20, 2023

For example, the Netflix website enables users to stream movies and television episodes from any device at any time, with no restrictions on time or place. This has enabled the business to amass a sizable fan base and establish itself as a major force in the streaming sector.

Media 52

Media Designing Accessible Accessibility 52

DareData

NOVEMBER 28, 2023

Furthermore, with MLflow we can tag every registered model in three different categories: Staging, Production or Archived. Of course, all these decorators can be personalized: they can be given names, descriptions, specific names for each run, tags, etc. It can call tasks and other flows –named subflows.

Data Science 52

Data Science Medical Machine Learning Data 52

Cloudera

DECEMBER 7, 2020

To fully execute personalized interactions, retailers are accessing both structured and unstructured data from website click-streams, email and SMS opens and responses, in-store point of sale systems and past purchase behavior. Personalized Interactions —Increase conversion and customer engagement with deeper personalization and targeting.

Retail 61

Retail Unstructured Data Big Data Media 61

Rockset

OCTOBER 21, 2022

When building a real-time customer 360 app, you’ll definitely need event data from a streaming data source, like Kafka. Real-time database that handles bursty data streams: You need a database that separates ingest compute, query compute, and storage. In my workshop, I used Mockaroo data and sent that to Kafka.

Kafka 52

Kafka Building SQL Database 52

Knowledge Hut

OCTOBER 27, 2023

When an user logs in their Netflix account, certain shows or movies are recommended by the streaming platform. Visual Search could be extended to other use cases such as automated image tagging. The images with the highest cosine similarity against the query image would then be recommended to the customer.

Data Science 52

Data Science Python Project Manufacturing 52

DataKitchen

OCTOBER 28, 2021

ML models are being used to aid disease diagnosis like detecting cancer cells, tag photographs in social media, understand speech, identify credit card fraud, increase customer engagement with movie/TV recommendations on video streaming services and much more.

Coding 52

Coding IT Manufacturing Algorithm 52

Pinterest Engineering

OCTOBER 31, 2023

Node also exposes runtime APIs such as container shells and live log streaming to help users troubleshoot their workloads. Each AMI is tagged according to type and version, and they utilize the Upgrade service to initiate automatic deployments. It provides three groups of APIs: workload APIs, operation APIs, and insight APIs.

Architecture 95

Architecture Pipeline-centric Accessible Accessibility 95

Rockset

JANUARY 28, 2020

Their autonomous checkout system only requires easy-to-install overhead cameras, with no other sensors or RFID tags needed on shelves or merchandise. The engineering team pulls together multiple data sets—event streams from the stores, data from vendors, store inventory information, and debug logs—to generate accuracy metrics.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

AltexSoft

MAY 12, 2022

Data labeling or annotation is about tagging raw data with correct answers to run supervised machine learning. Besides enriching data with meaningful tags, we have to preprocess sound data to achieve better prediction accuracy. Audio data labeling. Audio data preprocessing.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

JUNE 20, 2023

It is one of the swiftest systems for stream processing and data management. It enables data engineers to build real-time data pipelines and provides features like data synchronization and streaming. Knowing to branch, merge, and tag ideas and experience using version control systems like Git is crucial.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

Relational databases, nonrelational databases, data streams, and file stores are some examples of the data platforms they use. This AI engineer would ask a data engineer to set up an Azure Cosmos DB instance so that the computer vision application's generated tags and metadata could be stored there.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Rock the JVM

JUNE 20, 2022

class MovieTable ( tag : Tag ) extends Table [ Movie ]( tag , Some ( "movies" ), "Movie" ) { def id = column [ Long ]( "movie_id" , O. It takes tag as the first parameter. We need to import the PostgresProfile api to get the relevant methods in scope. PrimaryKey , O. tupled , Movie. tupled , Movie.

Scala 40

Scala PostgreSQL Database SQL 40

Lyft Engineering

SEPTEMBER 6, 2023

The essence of the MITM filter is that it relays HTTP and gRPC requests from itself to the ProxyApp server using a bidirectional gRPC stream. To accomplish this, we built another Envoy filter, henceforth referred to as the MITM filter.

Building 80

Building Metadata Electronics Engineering 80