Monte Carlo

MAY 31, 2022

Vimeo’s data team operates on a massive scale of more than 85 billion events per month. It is important for the team to push data as near real-time as possible and ensure its reliability. It involves a contract with the client sending the data , schema registry, and pipeline owners responsible for fixing any issues.

BI 52

BI Data Warehouse Unstructured Data Data Schemas 52

Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Cloudera

FEBRUARY 9, 2021

Ingesting into cloud storage directly is independent of any data warehouse compute services, which resolves a common issue in the traditional data warehouse that ETL jobs and analysis queries very often compete against each other for resources. The history data is always required for certain industry regulatory compliance.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Rockset

SEPTEMBER 20, 2022

Embedded content: [link] NFT and Crypto Price Analysis Although blockchain data is open for anyone to see, it can be difficult to make that on-chain data consumable for analysis. Each individual smart contract can have a different data schema, making data aggregation challenging when analyzing hundreds or even thousands of contracts.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Zalando Engineering

JANUARY 11, 2021

The experimental data were collected from each product team through tracking events (we track only users who provided appropriate consent). A dedicated tracking team ingested these events, unified data schema, and stored them in a big data database.

Scala 40

Scala Data Schemas Engineering Consulting 40

DataKitchen

JUNE 19, 2023

Checking data at rest involves looking at syntactic attributes such as freshness, distribution, volume, schema, and lineage. Start checking data at rest with a strong data profile. The image above shows an example ‘’data at rest’ test result.

Data 52

Data Data Validation Utilities High Quality Data 52

Monte Carlo

JANUARY 25, 2023

In those cases, we try to test on a blank or sample of data. Schema compatibility We use the Confluent (Kafka) Schema Registry to store contracts for the data warehouse. This is very similar to the process for entities and events covered in a previous article. Image courtesy of Chad Sanderson.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

Engineering at Meta

OCTOBER 17, 2023

Consider the example of launching a time-specific feature for a large event that happens once every few years. Does it make sense to keep all the code and data related to it until the next event? Engineers who do attempt the cleanup might find that doing so is a very time-consuming job.

Coding 115

Coding Engineering Portfolio Data Schemas 115

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. You can produce code, discover the data schema, and modify it.

AWS 98

AWS Scala Metadata Data Lake 98

Pinterest Engineering

MAY 2, 2023

So our user sequence real-time indexing pipeline is composed of a Flink job that reads the relevant events as they come into our Kafka streams, fetches the desired features for each event from our feature services, and stores the enriched events into our KV store system. Handles out-of-order inserts.

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

Monte Carlo

APRIL 24, 2023

The first is referred to as “events” data, which consists of clickstream events, logs, and other user activity events; while the second type— known as “transactional” data—captures all the upstream services. The scale of data events depends entirely on the product.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Netflix Tech

DECEMBER 14, 2018

A schemaless system appears less imposing for application developers that are producing the data, as it (a) spares them from the burden of planning and future-proofing the structure of their data and, (b) enables them to evolve data formats with ease and to their liking. This is depicted in Figure 1.

Media 94

Media Database Metadata Data Schemas 94

Monte Carlo

MARCH 2, 2023

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. Tools like dbt have also debuted semantic layer features to much fanfare.

Food 52

Food Data SQL Data Pipeline 52

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., The proliferation of real-time processing by deploying event-driven architectures (e.g., Deep Java Learning, Apache Spark 3.x,

Generalist 115

Generalist Telecommunication Healthcare Data 115

ProjectPro

NOVEMBER 22, 2021

show(truncate=False) #Drop duplicates on selected columns dropDisDF = df.dropDuplicates(["department","salary"]) print("Distinct count of department salary : "+str(dropDisDF.count())) dropDisDF.show(truncate=False) } Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Q6.

Hadoop 52

Hadoop Python Datasets Metadata 52

Ascend.io

MAY 24, 2023

Split transform components if transformations significantly change the data schema. Future Outlook In the vast and complex world of data, building and managing scalable healthcare data pipelines is an imperative skill for all data engineering professionals.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Confluent

JUNE 13, 2019

Astronomers need to be able to collect, process, characterize, and distribute data on these objects in near real time, especially for time-sensitive events. The data from these detections are then serialized into Avro binary format. Some phenomena, like supernova “shock breakouts,” may only last on the order of minutes.

Kafka 102

Kafka Bytes Data Pipeline Python 102

AltexSoft

OCTOBER 3, 2022

A knowledge graph is a way to integrate data coming from a variety of disjointed sources in the network that connects different data entities — objects, people, events, situations, or abstract concepts — and depicts their semantic relationships. What is a knowledge graph?

Relational Database 52

Relational Database Banking Media Computer Science 52

Snowflake

AUGUST 25, 2023

Snowflake is leveraging our SQL expertise to provide the best text-to-SQL capabilities that combine syntactically correct SQL with a deep understanding of customers’ sophisticated data schemas, governed and protected by their existing rights, roles and access controls. and never had bike availability below 7?

Coding 74

Coding SQL Data Cleanse Database 74

dbt Developer Hub

NOVEMBER 28, 2021

Slack ​ Loading in the raw data It wasn't immediately clear how to get a message count from each of the Slack communities. Zapier is an event-based system that can be used to automate random tasks. This script collects lineage metadata from files generated by dbt during the run, emitting OpenLineage events to a metadata server.

Raw Data 52

Raw Data Metadata Database Datasets 52

Netflix Tech

OCTOBER 31, 2018

Hence, we designed it primarily around the notion of timed events. Timed events can be used to represent both intrinsically “periodic” as well as “event-based” timelines. The event of interest, in this case, is a shot change event that occurs after the third frame.

Media 54

Media Metadata Data MongoDB 54

Confluent

MAY 28, 2019

Therefore, not restricting access to the Schema Registry might allow an unauthorized user to mess with the service in such a way that client applications can no longer be served schemas to deserialize their data. Allow end user REST API calls to Schema Registry over HTTPS instead of the default HTTP.

Management 83

Management Kafka Java Certification 83

Zalando Engineering

SEPTEMBER 8, 2021

withProcessDependencies (({ data }) => { if ( data null ) { return { action : "error" , message : "No collection data found. We want to avoid unwanted data coupling and allow Renderers to be reused in other contexts with minimal risks. All Renderers are implemented using TypeScript.

Engineering 52

Engineering Computer Science Data Schemas Coding 52

Confluent

SEPTEMBER 27, 2019

This gives operators a centralized location to enforce data format correctness within Confluent Platform. Enforcing data correctness on write is the first step towards enabling centralized policy enforcement and data governance within your event streaming platform. Why centralized data governance is important.

Kafka 16

Kafka Data Governance Bytes Government 16

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

Rockset

DECEMBER 9, 2021

Real-time insights delivered straight to users, i.e. the modern real-time data stack. That makes it very difficult for the data warehouse to stay synced in real-time with the operational database. Out-of-order event streams. With real-time streams, data can arrive out of order (in time), or be re-sent, resulting in duplicates.

Transportation 52

Transportation BI SQL Data Warehouse 52

Monte Carlo

APRIL 20, 2023

Data lineage can help in the development of enterprise data modeling for data teams that want or need to go the extra mile to ensure their warehouse is an accurate digital reflection of how key events and entities interact in the real world. Analyze your current schema and lineage.

Data Warehouse 52

Data Warehouse BI Data Government 52