Monte Carlo

JULY 11, 2023

Look for potential biases, flaws, or limitations in the data collection process. Below, we list a few examples: Data entry errors: Mistakes made during the process of entering data into a system can lead to inaccuracies. Accurate data without the necessary context or metadata can be challenging to interpret or use effectively.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Monte Carlo

AUGUST 30, 2023

But there’s a lot to understand in order to both create the most value from your dbt tests and avoid leaning too heavily on a time-intensive process. Custom data tests are generally run every time a dbt `run` command is executed to process your transformations. Make sure logs are accessible for future reference.

SQL 52

SQL Datasets Database High Quality Data 52

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. The greatest data processing challenge of 2024 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Netflix Tech

DECEMBER 3, 2022

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ???

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. Now you have to decide what sorts of things to test in order to figure out definitively if the tool is the right commitment for you and the team.

ETL Tools 81

ETL Tools Metadata Data Integration Data Science 81

Towards Data Science

NOVEMBER 4, 2023

How to Become a Data Engineer As a data engineer, I am tasked to design efficient data processes almost every day. It was created by Spotify to manage massive data processing workloads. Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks. Consider this example below.

Data Engineering 83

Data Engineering Data Engineer Engineering BI 83

Monte Carlo

JULY 10, 2023

That’s where the definition of data completeness comes in. For example, let’s say a streaming provider has 10 million overall subscribers who can access its content. Data profiling Data profiling uses a tool or programming language to surface metadata about your data. The same is true with data.

Data Collection 40

Data Collection Data Governance Government Data 40

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.) Who has an access to this Data ? Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

DoorDash Engineering

DECEMBER 5, 2023

Almost six billion messages are processed each day at an average rate of four million messages per minute, which sometimes peaks at double that rate. The slowest step in that process was provisioning Kafka Topics, which involved on-call engineer approval and was prone to failure, further increasing the on-call load.

Kafka 91

Kafka Programming Language Metadata Architecture 91

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 90

Metadata Python AWS Government 90

Monte Carlo

JANUARY 23, 2024

Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. The ability of LLMs to process unstructured data is going to change a lot of the foundational table stakes that make up the core of engineering ,” he says. Those who don’t embrace it will be left behind.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Christophe Blefari

FEBRUARY 3, 2023

ebay, Variable Hub a data access layer for risk decisioning — Looks like a feature store but for risk topics. What's often stays is that AE is between DE and DA, so the definition is often done complementarily to other positions. The article shows our Netflix art creators are using past data to create new artworks.

BI 130

BI Google Cloud SQL Machine Learning 130

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 124

Architecture Metadata Government Kafka 124

DoorDash Engineering

APRIL 12, 2023

The Metrics Layer, also known as a Semantic Layer, is a critical component of the modern data stack that has recently received significant industry attention offers a powerful solution to the challenge of standardizing metric definitions. We will also dive deep into our design and implementation processes and the lessons we learnt.

SQL 82

SQL Metadata Raw Data Government 82

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. Plays nice with existing CI/CD processes to promote a data pipeline to production. Provides monitoring, alerting, and troubleshooting for production data pipelines.

Data Pipeline 83

Data Pipeline Designing Kafka Metadata 83

dbt Developer Hub

DECEMBER 19, 2023

Integration points ​ Discovery API (formerly referred to as Metadata API) Overview — This GraphQL API allows you to query the metadata that dbt Cloud generates every time you run a dbt project. The job level will only provide you the metadata of one job, giving you only a small snapshot of part of the project.

Metadata 52

Metadata Cloud Accessible Accessibility 52

Precisely

JANUARY 16, 2024

There are huge benefits to be gained by optimizing an organization’s access to information assets and advancing its mastery of data on the whole. These marketplaces provide users with easy access to datasets that are certified, current, and ready for use with the appropriate ownership and lineage available.

Data Governance 67

Data Governance Government Metadata Data 67

Zalando Engineering

OCTOBER 18, 2023

The query directives are generally useful for clients to express certain types of metadata for the query. We can access the request parameters (like pathname) by running GraphQL over HTTP. This process is cumbersome, but it is on purpose. We will discuss this in detail in the next section.

Metadata 86

Metadata Coding Banking Designing 86

Tweag

APRIL 19, 2023

The MedTech industry is buzzing thanks to a continuous stream of innovation, promising to be more precise, efficient and accessible than ever. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. But as it turns out, we can’t use it. _slides_specs. width , spec.

Medical 60

Medical Process Cloud Bytes 60

ThoughtSpot

JUNE 28, 2023

Getting started with version control APIs To begin, ensure that the following prerequisites are met: You have admin access (can administer Thoughtspot privilege) to connect ThoughtSpot to a Git repository and deploy commits. You have a Git repository and a branch that can be used as a default branch in ThoughtSpot.

Metadata 72

Metadata Accessible Accessibility Utilities 72

Monte Carlo

FEBRUARY 26, 2024

It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. Additionally, data catalogs can centrally enforce rules of access, security, and governance, all in a way that is both automatic and visible.

Metadata 52

Metadata Government Data Data Governance 52

ProjectPro

FEBRUARY 8, 2023

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. It offers a simple and efficient solution for data processing in organizations. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98

AWS Scala Metadata Data Lake 98

RandomTrees

FEBRUARY 6, 2024

Generative AI corrects data imbalances, ensuring fair sentiment analysis on e-commerce platforms, enriches training data for natural language processing (NLP) tasks. Data’s exponential growth : Gen AI holds the potential to address this challenge by automating data processing tasks, extracting valuable insights from the vast amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

François Nguyen

MARCH 22, 2021

This is really for us the definition of a self serve platform. We want interoperability for any data stored versus we have to think how to store the data in a specific node to optimize the processing. and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…).

Technology 130

Technology Architecture Google Cloud Metadata 130

LinkedIn Engineering

APRIL 25, 2023

In our previous blog post on GraphQL, we explained how LinkedIn uses GraphQL to expedite the process of onboarding new use-cases for external API partners. entity schemas already go through a review process, a standardized way of federating these Rest.li specifically for GraphQL. Given that our Rest.li Custom lint rules on Rest.li

Architecture 109

Architecture Metadata Java Transportation 109

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables (not files/blobs) are the only API abstraction for end-users.

Big Data 78

Big Data Data Management Management Metadata 78

Data Engineering Podcast

MAY 18, 2021

High-growth startups use Molecula’s feature store because of its unprecedented speed, cost savings, and simplified access to all enterprise data. From feature extraction to model training to production, the Molecula feature store provides continuously updated feature access, reuse, and sharing without the need to pre-process data.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? Unlike traditional planners that need to consider accessing a table via a variety of types of index, Impala’s planner always starts with a full table scan and then applies pruning techniques to reduce the data scanned.

Metadata 143

Metadata Coding SQL Database 143

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. It was a manual process and very challenging as well. Instead, loading data can trigger new processes and flows in a Data Pipeline by triggering webhooks in other systems.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Cloudera

SEPTEMBER 29, 2022

It is a set of rubrics around people, process, and technology choices that allow for companies to scale their data systems. . The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. Data mesh is about people, process, and technology. Data mesh defined.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

LinkedIn Engineering

JUNE 26, 2023

For streaming data pipelines, this involves writing stream processing jobs. A developer would need to write and operationalize a custom stream processing job to replicate their Brooklin datastream into a Kafka topic. This means that data pipelines almost always require some form of stream processing in the middle.

Data Pipeline 112

Data Pipeline Kafka MySQL SQL 112

Databand.ai

AUGUST 30, 2023

It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making. A shorter time-to-value indicates that your organization is efficient at processing and analyzing data for decision-making purposes.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

AltexSoft

AUGUST 22, 2022

Some would say that it’s not a big deal, however, these mixed environments have resulted in the complexities of managing disjointed data and business processes. Unified data access. Any data fabric creates a single point of access to multiple source systems of a company via a set of pre-packaged connectors and components.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. The system stores metadata about data which makes it easier to find and retrieve data.

Database Design 52

Database Design Relational Database Metadata Database 52

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Engineering at Meta

OCTOBER 31, 2023

In our first post on automating product deprecation , we discussed the complexities of product deprecations and introduced SCARF’s workflow management tools that guide engineers through a coordinated process to safely deprecate products. If any of the assets are not in use, SCARF initiates a process to safely remove them.

Data 93

Data Metadata Coding Relational Database 93