Data Engineering Podcast

SEPTEMBER 4, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

IT 100

IT Metadata MongoDB MySQL 100

Edureka

MAY 6, 2024

It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. But before we begin, Let’s have a look at what we will be covering in this blog: What is MLOPS? Why do we need MLOPS?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. The session metadata table can then be read to determine the pipeline input. Metadata Recording : Metadata is persisted for traceability.

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Metadata Data Pipeline Scala Data Workflow 97

Knowledge Hut

SEPTEMBER 29, 2023

This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do? Moreover, what benefits can you expect from a career in Azure Data Engineering? Join us on this journey through the exciting realm of Azure Data Engineering.

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Certification Data Engineering Data Engineer Engineering 52

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. The transformation step takes place in a separate engine and the transformed data is stored in a data store. The data is easily accessible and is easy to update. This was used to test our setup.

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Data Ingestion Data Engineering Data Engineer Engineering 52

Cloudera

MARCH 2, 2023

It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. The CSP engine is powered by Apache Flink, which is the best-in-class processing engine for stateful streaming pipelines.

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Process SQL Kafka Database 112

Netflix Tech

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

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Algorithm Metadata Kafka Systems 136

Cloudera

AUGUST 10, 2021

Impala Row Filtering to set access policies for rows when reading from a table. We expand on this feature later in this blog. Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI.

Cloud 96

Cloud Kafka Metadata SQL 96

Data Engineering Podcast

JANUARY 23, 2022

Summary Data engineering is a relatively young and rapidly expanding field, with practitioners having a wide array of experiences as they navigate their careers. Ashish Mrig currently leads the data analytics platform for Wayfair, as well as running a local data engineering meetup.

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Building Management Data Pipeline Metadata 100

Cloudyard

APRIL 4, 2024

Read Time: 2 Minute, 13 Second Consider a scenario, you are part of data engineering team at a retail company. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights. Frequency: How often a customer makes purchases.

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Retail Data Ingestion Metadata Datasets 40

Data Engineering Podcast

MARCH 22, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. How do you handle observability of CDC flows?

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Data Warehouse Metadata Data Lake Hadoop 100

Cloudera

JULY 14, 2023

In this blog, I will describe a few strategies one could undertake for various use cases. While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well.

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Metadata Data Warehouse Big Data Ecosystem Java 69

Cloudera

MARCH 17, 2023

Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. I thought this was a fairly comprehensive list.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . The providers, having never contributed to the core functionality, often don’t have extensive engineering knowledge of the functionality. Watch this video to get an overview of CDW. .

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Data Warehouse Cloud Storage Metadata Data 98

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 Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Databand.ai

JULY 19, 2023

Metadata Management Metadata, or ‘data about data’, is a crucial component of data management. Data lineage tools provide robust metadata management capabilities, allowing businesses to capture, store, and manage metadata associated with their data. This fosters a data-driven culture within the organization.

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Pipeline-centric Data Governance Metadata Government 52

phData: Data Engineering

OCTOBER 12, 2022

In this blog post, we’ll dive into six of the most powerful dbt Cloud features and many others that you probably don’t know about. Data Health with the Metadata API As mentioned earlier, dbt Cloud provides an easy-to-query metadata API that contains all the metadata about a dbt project and the various runs.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. Unlike generic orchestration tools, DataKitchen Platform orchestration connects to the existing ecosystem of data analytics, data science and data engineering tools.

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Pharmaceutical Raw Data Data Lake Data 98

Data Engineering Podcast

AUGUST 5, 2019

Announcements Welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Rockset

NOVEMBER 14, 2022

In this blog, we will describe the SSB configuration, results and performance enhancements. Rockset uses RocksDB as its embedded storage engine, storing documents as key-value pairs (ie: document identifier, document value). The metadata lookup operation takes a significant proportion of the working set memory, impacting query latency.

Metadata 52

Metadata Datasets Cloud Accessible 52

DataKitchen

AUGUST 3, 2021

A barrage of errors, missed deadlines, and slow response time can overshadow the contributions of even the most brilliant data scientist or engineer. Further, the teams of specialized data engineers who build and maintain enterprise data platforms operate as a centralized unit divorced from the business units that create and consume the data.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Cloudera

JUNE 7, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. Companies know that secure, well-governed and accessible data, on-demand, fuels growth.

IT 108

IT Unstructured Data Data Architecture Government 108

Cloudera

SEPTEMBER 29, 2022

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. An underlying replication engine can replicate changes to the tables at the source (as it is produced and updated) to all the consumers (who have subscribed to the data). . What is a data mesh contract?

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Workfall

AUGUST 14, 2023

These tools, when combined, form a dynamic duo that streamlines and scales data engineering workflows. In this blog, we will explore the benefits of using DBT and Airflow together and how they make data pipeline management easier than ever before. In this blog, we will cover: Understanding DBT and Airflow What is DBT?

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Data Pipeline Raw Data Data Database 62

Cloudera

FEBRUARY 16, 2022

This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets.

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Machine Learning Algorithm Government Metadata 81

Ripple Engineering

MARCH 30, 2023

This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks. Challenges and Assumptions We need to track model files and all related metadata for models like training metrics, date trained, etc. Each cluster has a service account that has access to the requisite data.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

LinkedIn Engineering

DECEMBER 19, 2023

Figure 3: Generalized rolling upgrade deployment flow Namenode deployment overview The namenode is the central component of HDFS and is responsible for storing the metadata information about files and directories in the HDFS cluster. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

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Big Data Hadoop Metadata Data 92

dbt Developer Hub

DECEMBER 11, 2023

The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. This blog post walks through the end-to-end process we used to set up product analytics for the dbt Semantic Layer using the dbt Semantic Layer. Load the data into our warehouse.

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Finance BI SQL Cloud 64

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow.

Database 87

Database Cloud Data Warehouse Data Lake 87

Netflix Tech

DECEMBER 8, 2021

Snare also provides a space for our security engineers to track what’s going on, drill down into various findings, follow their investigation flow, and ensure that findings are reaching their proper resolution. Once ingested, findings are then enriched and processed with additional metadata collected from Netflix’s internal data sources.

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AWS Metadata Cloud Utilities 78

Netflix Tech

MARCH 22, 2021

Our primary partners are the teams of Revenue and Growth Engineering (RGE): Growth, Membership, Billing, Payments, and Partner Subscription. Each of these engineering teams?—?and Initially, we were targeting our internal rules engine for driving experiences across the Netflix platform as the only configuration backend.

Metadata 65

Metadata Portfolio Java Engineering 65

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. New frameworks, new challenges, and new technologies are constantly shifting how engineers think about their work and their roles within their organizations. Plus, he was one of the first data engineers at Facebook and Airbnb.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. Cloudera Data Visualization is in tech preview for CDW, with more backend engine integrations planned for the near future. This led them to fall behind.

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80

ProjectPro

JANUARY 24, 2023

It is a popular ETL tool well-suited for big data environments and extensively used by data engineers today to build and maintain data pipelines with minimal effort. Its integration with other popular AWS services like Redshift, S3, and Amazon Athena makes it a valuable tool for data engineers to build end-to-end data engineering projects.

AWS 52

AWS Data Lake Scala ETL Tools 52

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration. Value Achieved.

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Data Warehouse Database-centric Metadata Cloud 80

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. Can we develop learning models to enrich metadata with application vulnerabilities and risk scores?

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Cloud Building Amazon Web Services Metadata 73