Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.

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Data Warehouse Metadata Algorithm Data 84

Netflix Tech

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

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Data Warehouse Datasets Data Big Data 100

Data Engineering Podcast

DECEMBER 19, 2021

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. No more scripts, just SQL.

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Systems Building Metadata Data Warehouse 100

Engineering at Meta

FEBRUARY 4, 2025

Were sharing how Meta built support for data logs, which provide people with additional data about how they use our products. Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand.

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Accessible Accessibility Raw Data Data Warehouse 80

Snowflake

DECEMBER 4, 2024

The trend to centralize data will accelerate, making sure that data is high-quality, accurate and well managed. Overall, data must be easily accessible to AI systems, with clear metadata management and a focus on relevance and timeliness.

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Unstructured Data Data Lake Deep Learning Structured Data 89

Data Engineering Podcast

FEBRUARY 20, 2022

In this episode Guy Yachdav, director of software engineering for ImmunAI, shares the complexities that are inherent to managing data workflows for bioinformatics. RudderStack’s smart customer data pipeline is warehouse-first. You can observe your pipelines with built in metadata search and column level lineage.

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Systems Software Engineering Software Engineer Data Warehouse 100

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. In order to turn this into a tractable problem one approach is to define and enforce contracts between producers and consumers of data. Atlan is the metadata hub for your data ecosystem.

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Data Engineering Weekly

NOVEMBER 24, 2024

The system leverages a combination of an event-based storage model in its TimeSeries Abstraction and continuous background aggregation to calculate counts across millions of counters efficiently. link] Grab: Metasense V2 - Enhancing, improving, and productionisation of LLM-powered data governance. Boyter on Bloom Filters and SQLite.

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Data Engineering Data Engineer Engineering Insurance 57

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. This generalisation makes their data models complex and cryptic and require domain expertise. Accessibility : I could easily request access to these data products.

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Data Engineering Weekly

MARCH 5, 2025

Data Silos: Breaking down barriers between data sources. Hadoop achieved this through distributed processing and storage, using a framework called MapReduce and the Hadoop Distributed File System (HDFS). This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g.,

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Hadoop Metadata Data Ingestion Data Governance 57

Netflix Tech

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

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Systems Media Machine Learning Data Warehouse 94

Data Engineering Podcast

JULY 5, 2021

Deploying, managing, and scaling that orchestration can consume a large fraction of a data team’s energy so it is important to pick something that provides the power and flexibility that you need. RudderStack’s smart customer data pipeline is warehouse-first.

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Systems Management Data Warehouse Programming Language 100

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

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Data Warehouse Java Metadata Data 82

Data Engineering Podcast

APRIL 24, 2022

WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model. You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms.

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Machine Learning Systems Data Lake Java 100

Cloudera

SEPTEMBER 24, 2020

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data.

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Data Warehouse SQL Engineering Metadata 71

Maxime Beauchemin

JANUARY 20, 2017

In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The traditional best practices of data warehousing are loosing ground on a shifting stack.

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Data Engineering Data Engineer Engineering ETL Tools 130

Data Engineering Podcast

AUGUST 13, 2022

The biggest challenge with modern data systems is understanding what data you have, where it is located, and who is using it. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest. Sifflet also offers a 2-week free trial.

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Metadata MongoDB MySQL Scala 100

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

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Data Warehouse Cloud Kafka Cloud Storage 72

Striim

MARCH 21, 2025

Since the value of data quickly drops over time, organizations need a way to analyze data as it is generated. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis.

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IT Data Lake Data Warehouse Relational Database 52

Data Engineering Podcast

DECEMBER 18, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Missing data? Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Stale dashboards?

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Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

DECEMBER 29, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Missing data? Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Stale dashboards?

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Management Metadata Business Intelligence Data Lake 130

Towards Data Science

DECEMBER 10, 2024

Take advantage of old school databasetricks In the last 1015 years weve seen massive changes to the data industry, notably big data, parallel processing, cloud computing, data warehouses, and new tools (lots and lots of newtools). Each source came from a different revenue provider, and as such a different system.

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PostgreSQL Data Python SQL 75

Maxime Beauchemin

AUGUST 28, 2017

This leads to systemic, stupid errors that waste hours. Consensus seeking Whether you think that old-school data warehousing concepts are fading or not, the quest to achieve conformed dimensions and conformed metrics is as relevant as it ever was. Data engineers are many degrees removed from those who are “moving the needle”.

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Data Engineer Data Engineering Engineering Software Engineering 174

Monte Carlo

SEPTEMBER 10, 2024

This truth was hammered home recently when ride-hailing giant Uber found itself on the receiving end of a staggering €290 million ($324 million) fine from the Dutch Data Protection Authority. Poor data warehouse governance practices that led to the improper handling of sensitive European driver data. The reason?

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Data Warehouse Government Data Governance Metadata 52

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

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Data Warehouse Cloud Storage Metadata Data 98

Netflix Tech

DECEMBER 3, 2022

The dataflow migration command is a special feature, developed single handedly by Stephen Huenneke , to fully automate the communication and tracking of a data warehouse table changes. It lets you create YAML formatted mock data files based on selected tables, columns and a few rows of data from the Netflix data warehouse.

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Data Pipeline Scala Metadata Food 144

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has long had the capabilities of a data lakehouse, if not the label. 4-Ready for modern data fabric architectures. 4-Ready for modern data fabric architectures.

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Database Cloud Systems Management 92

Data Engineering Podcast

JUNE 17, 2021

Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable. Hightouch is the easiest way to sync data into the platforms that your business teams rely on. No more scripts, just SQL.

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Unstructured Data Data Warehouse Metadata Media 100

Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Atlan is the metadata hub for your data ecosystem.

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Data Management Management Metadata MongoDB 130

Data Engineering Podcast

JUNE 26, 2022

In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system. Atlan is the metadata hub for your data ecosystem.

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Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

MARCH 27, 2022

You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms. What are the unique constraints and challenges that come into play when managing data in cloud platforms?

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Data Governance Government Cloud Building 130

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

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Metadata PostgreSQL Datasets Data Warehouse 100

Sync Computing

NOVEMBER 7, 2024

Data volume and velocity, governance, structure, and regulatory requirements have all evolved and continue to. Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications.

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Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Maxime Beauchemin

JANUARY 7, 2018

Note that where a TRUNCATE PARTITION is typically a “free” metadata operation, a DELETE operation may be expensive and that should be taken into considerations. This means that ideally the logic in source control describes how to build the full state of the data warehouse throughout all time periods.

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Data Engineering Data Engineer Data Process Process 183

Grouparoo

JANUARY 11, 2022

This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle. There are two main options available, a data lake and a data warehouse. What is a Data Warehouse? What is a Data Lake?

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Data Lake Data Warehouse Unstructured Data Raw Data 52

Data Engineering Podcast

MAY 18, 2021

Summary Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to get a holistic understanding of your data quality, where errors are occurring, or how a report was constructed you need to track the lineage of the data from beginning to end.

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