Rockset

SEPTEMBER 20, 2022

This blog discusses some emerging use cases for real-time blockchain analytics and some key considerations for developers building dApps. 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.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Striim

NOVEMBER 8, 2023

What are the four principles of a Data Mesh, and what problems do they solve? A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. Marketing teams should have easy access to the analytical data they need for campaigns.

Architecture 52

Architecture Generalist Government Datasets 52

Cloudera

FEBRUARY 9, 2021

Schema Management. Avro format messages are stored in Kafka for better performance and schema evolution. Cloudera Schema Registry is designed to store and manage data schemas across services. NiFi data flows can refer to the schemas in the Registry instead of hard coding. . > Minutes.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Zalando Engineering

JANUARY 11, 2021

In this blog series, we will share what we’ve learned at Zalando. During this journey, we have presented our works at well-known conferences including PyData 2018 , Conference on Digital Experimentation 2018 , and Causal Data Science Meeting 2020. A/B test analysis method quality.

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

Engineering at Meta

OCTOBER 17, 2023

So, how did we efficiently and safely remove all of the code and data related to Moments without adversely affecting Meta’s other products and services? Information about code is gathered from SCARF’s unified code dependency graph and information about data is gathered from SCARF’s asset usage analysis.

Coding 115

Coding Engineering Portfolio Data Schemas 115

Databand.ai

JULY 19, 2023

The data pipeline should be designed to handle the volume, variety, and velocity of the data. This includes choosing the right data storage and processing technologies, designing the data schema, and planning the data transformations.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. This is depicted in Figure 1.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

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. If you are conducting a post mortem, by definition the data anomaly has already occurred.

Food 52

Food Data SQL Data Pipeline 52

Pinterest Engineering

MAY 2, 2023

Traditionally, product engineers need to be exposed to the infra complexity, including data schema, resource provisions, and storage allocations, which involves multiple teams. Different than our previous real-time user signal infra, this platform has been much more scalable and maximizes storage reusability.

Lambda Architecture 65

Lambda Architecture Datasets Software Engineer Software Engineering 65

Cloudera

JULY 26, 2021

Auditabily: Data security and compliance constituents need to understand how data changes, where it originates from and how data consumers interact with it. The post Five Strategies to Accelerate Data Product Development appeared first on Cloudera Blog.

Generalist 115

Generalist Telecommunication Healthcare Data 115

AltexSoft

OCTOBER 3, 2022

The logical basis of RDF is extended by related standards RDFS (RDF Schema) and OWL (Web Ontology Language). They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems.

Relational Database 52

Relational Database Banking Media Computer Science 52

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes this really easy for developers to use schemas, and it is designed to be highly available. Bad designs.

Management 83

Management Kafka Java Certification 83

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

Zalando Engineering

SEPTEMBER 8, 2021

With the ambitions of the Interface Framework as presented in the first blog post , we did not want to just stop at serving multiple HTML pieces, we wanted more: Implemented once, works anywhere - UI blocks should work in different contexts and be context-aware, not context-bound. Each Renderer is responsible for one part of the page.

Engineering 52

Engineering Computer Science Data Schemas Coding 52

Confluent

APRIL 30, 2019

We will use his tool to generate graphical illustrations of all topologies in this blog post. Of course, this would require you to have deep knowledge of Streams DSL topology generation internals (or to have been a reader of this blog post :)) in order to make the appropriate code changes. What’s next?

Kafka 90

Kafka Coding Process Bytes 90

Netflix Tech

OCTOBER 31, 2018

The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB. Specifically, structured data that is modeled around the notion of a media timeline, with additional spatial properties.

Media 54

Media Metadata Data MongoDB 54

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

JANUARY 11, 2021

With CDP, it’s easy to amortize costs for shared data, schema, security, and governance with the underlying SDX service. You can eliminate the cost of copying data and syncing it across multiple LoB silos. Cloudera Shared Data Experience (SDX). Cloudera Machine Learning (CML).

Data Warehouse 61

Data Warehouse Pharmaceutical Data Lake BI 61

Monte Carlo

APRIL 20, 2023

In a recent blog post on how to handle a schema change , we detailed how Marion Rybnikar, the Senior Director of Data Strategy & Governance for Slice, a data-driven company that empowers over 18,000 independent pizzerias with modern tooling, uses data lineage for communicating and properly managing schema changes.

Data Warehouse 52

Data Warehouse BI Government Data 52