phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. Data modeling methodologies are systematic approaches used to design and define the structure and relationships of data within a system.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Datakin

AUGUST 5, 2021

Blog A real-time approach to data lineage Written by Ross Turk on August 5, 2021 A data ecosystem that spans multiple pipelines, teams, and platforms can be overwhelming. Each dataset and job exists in a unique operational context, with interdependencies that may seem simple…until they multiply.

Metadata 52

Metadata Relational Database Datasets SQL 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Responsibilities Data architects assess an organization's data sources and design plans for centralized data management. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. Perhaps one of the most crucial elements in deciding a data catalog that’s right for your business is exploring how your tool is designed when it comes to infrastructure.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Rockset

NOVEMBER 14, 2022

In this blog, we will describe the SSB configuration, results and performance enhancements. For this benchmark, Rockset denormalized the data and scaled the dataset size to 100 GB and 600M rows of data, a scale factor of 100. Rockset used its XLarge Virtual Instance (VI) with 32 vCPU and 256 GiB of memory.

Metadata 52

Metadata Datasets Cloud Accessible 52

AltexSoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

SEPTEMBER 24, 2020

However, there is a secret I am keeping to the end of the blog, which makes the decision even easier for the user: so easy in fact, you do not even have to decide yourself. Well, generally speaking, Impala works best when you are interacting with a data mart, which is typically a large dataset with a schema that is limited in scope.

Data Warehouse 68

Data Warehouse SQL Engineering Metadata 68

Monte Carlo

MARCH 3, 2021

Our SOC 2 designation means that Monte Carlo has designed a set of internal controls, systems, policies, and procedures that meet industry best practices for protecting our customer data. We designed our product without having to store or access individual records, PII, or any other sensitive information. What’s next?

Metadata 52

Metadata Data Lake Business Intelligence Certification 52

Data Engineering Podcast

AUGUST 5, 2019

Can you start by explaining what Amundsen is and the problems that it was designed to address? Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Links Amundsen Data Council Presentation Strata Presentation Blog Post Lyft Airflow Podcast.__init__

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

DataKitchen

MAY 4, 2023

Bergh went on to talk about how the software industry has tackled complexity by applying lean and agile principles such as DevOps and domain-driven design software products. Chris discussed the idea of decentralization and how well-designed domain interfaces can provide the freedom to innovate in data engineering.

Raw Data 52

Raw Data Data Datasets Metadata 52

Rockset

APRIL 18, 2023

Ensure service-levels at scale: Rockset meets the strict latency requirements of real-time analytics and is designed for high availability and durability with no scheduled downtime. After collecting data, each event in the dataset was manually labeled “sus” for unusual behavior or “evil” for malicious behavior.

Machine Learning 52

Machine Learning Datasets Database Data Pipeline 52

Rockset

AUGUST 2, 2023

In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Pinterest Engineering

NOVEMBER 4, 2022

We serve the latest 100 user actions as a sequence, populated with pin embeddings and other metadata. As we retrain the Homefeed ranking model with this shifted dataset, there’s a positive compounding effect that makes the retrained model more powerful, thus, a higher engagement rate. This then loops us back to 1.

Architecture 52

Architecture Software Engineer Software Engineering Metadata 52

RandomTrees

SEPTEMBER 6, 2020

Built on new SQL database engine, it provides a unique architecture designed for the cloud. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics. Snowflake allows the loading of both structured and semi-structured datasets from cloud storage.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs.

Building 93

Building Transportation Metadata Java 93

LinkedIn Engineering

MARCH 21, 2023

In this blog, we’ll discuss the ways in which we’re continuously investing in our skills taxonomy to build a strong, reliable foundation for our Skills Graph to help ensure we can match our members’ skills to opportunity and knowledge. This includes several standardizers/models (e.g., Now, let’s discuss the skills taxonomy’s key pillars.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Cloudera

MAY 22, 2018

As data scientists iteratively develop models, they often experiment with datasets, features, libraries, and algorithms as well as tuning hyperparameters. save the built model container, along with metadata like who built or deployed it. Designating CDSW administrators was a manual affair in the tool itself. Experiments.

Data Science 41

Data Science Machine Learning Metadata Big Data 41

Knowledge Hut

JULY 26, 2023

In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. Database applications are software programs or systems that are designed to organize and efficiently store, handle, and retrieve vast amounts of data. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Any cloud computing professional can design AWS cloud projects and AWS enterprise projects using these services. They can also assist in developing and enhancing web development, hosting, design, and deployment skills.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

Metadata 88

Metadata Data Warehouse BI AWS 88

Rockset

MARCH 18, 2024

In this blog, we’ll discuss how RAG fits into the paradigm of real-time data processing and show an example product recommendation application using both Kafka and Flink on Confluent Cloud together with Rockset. They also need to be designed for real-time updates. These additional inputs are referred to as metadata filtering.

Cloud 64

Cloud Building Metadata Kafka 64

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem. How is everyone going to find the data they need, and understand it?

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Cloudera

FEBRUARY 22, 2022

The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg.

Metadata 105

Metadata Datasets BI SQL 105

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. In this blog post, we will highlight the work done recently to improve the performance of Ozone Manager to scale to exabytes of data. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Datasets Architecture 69

LinkedIn Engineering

JANUARY 16, 2024

In a previous blog post, we talked about how we built our anti-abuse platform using CASAL. In this blog post, we'll go deeper into how we manage account restrictions. These records held vital metadata linked to the restriction, including essential timestamps. We had to think proactively and refine our cache strategies further.

Kafka 84

Kafka Relational Database Java Architecture 84

Rockset

DECEMBER 22, 2020

This is an important design consideration when building an application on top of Elasticsearch, especially when application-side joins are required. There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch.

SQL 40

SQL Data MongoDB Aggregated Data 40

Rockset

NOVEMBER 7, 2023

As a result, indexing of newly ingested vectors and metadata does not negatively impact search performance. In this blog, we’ll dig into how Rockset has fully integrated vector search into its search and analytics database. Rockset supports streaming updates to metadata and vectors in an efficient way.

Cloud 64

Cloud Metadata Database SQL 64

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset. Introduction.

Machine Learning 136

Machine Learning Datasets Data Science Raw Data 136

Zalando Engineering

JULY 31, 2016

Simon Redfern , the founder of the project, talked about all the modern technologies they use in the project: Scala, RESTful APIs, OAuth, flexible connectors, making use of freely customizable metadata, Kafka, plus a huge amount of SDKs for Python, Scala, Java, and others. Security is an ongoing process.

Finance 40

Finance Banking Java Scala 40

Netflix Tech

DECEMBER 3, 2022

mock Generate or validate mock datasets. All the above commands are very likely to be described in separate future blog posts, but right now let’s focus on the dataflow sample command. " ) COMMENT "Example dataset brought to you by Dataflow. -v, --verbose Enables verbose mode. version Show the version and exit.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Netflix Tech

NOVEMBER 20, 2023

The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset. In this blog post, we talk about the landscape and the challenges in workflows at Netflix. There are three common issues that the dataset owners usually face.

Process 84

Process Data Pipeline Datasets SQL 84

Airbnb Tech

NOVEMBER 28, 2023

However, achieving the full data quality criteria required by Midas demands significant cross-functional investment to design, develop, validate, and maintain the necessary data assets and documentation. In this blog post, we share our innovative approach to scoring data quality, Airbnb’s Data Quality Score (“DQ Score”).

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

dbt Developer Hub

JULY 26, 2022

Our maestro of metrics, Drew Banin, released a blog post detailing the vision of where we're going here. Ultimately, this looks like people being able to interact with trusted datasets in the tools that they are comfortable with (and eventually new tools designed specifically around metrics).

Metadata 52

Metadata BI Datasets SQL 52

phData: Data Engineering

DECEMBER 16, 2021

In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 3 , we’ll look into: What data catalog options are available? A data catalog is a tool to store and access metadata about your data. What is Metadata?

Metadata 52

Metadata Datasets Data Accessible 52

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. In this blog, we’ll walk through how Rockset provides compute-storage separation while making real-time data available to queries.

Metadata 52

Metadata Datasets Architecture Algorithm 52

Snowflake

AUGUST 31, 2023

Catalog Integration: Our newly developed Catalog Integration feature allows you to seamlessly plug Snowflake into other Iceberg catalogs tracking table metadata. In this blog post, we’ll dive into the details of these features and the benefits for customers. In addition to Iceberg External Tables, we introduced Native Iceberg Tables.

Metadata 83

Metadata AWS Data Lake Datasets 83

Cloudera

MARCH 23, 2022

Therefore, alleviating the need to use different connectors, exotic and poorly maintained APIs, and other use-case specific workarounds to work with your datasets. . Iceberg is designed to be open and engine agnostic allowing datasets to be shared. 3: Open Performance.

Metadata 88

Metadata Data Architecture BI Machine Learning 88