Data Engineering Podcast

SEPTEMBER 4, 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. RudderStack helps you build a customer data platform on your warehouse or data lake.

IT 100

IT Metadata MongoDB MySQL 100

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. It captures incremental changes from transactional databases or other sources, efficiently loading them into data warehouses or data lakes.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Podcast

MARCH 22, 2021

Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Monte Carlo

MAY 18, 2023

We’ve been open about this work, providing very technical deep dives into how we developed column-level lineage and even some of our failures in building Spark data lineage for data lakes. The Spark data lake lineage example is helpful for context here.

Metadata 64

Metadata Data Lake Government Data Governance 64

Data Engineering Podcast

AUGUST 6, 2022

Data stacks are becoming more and more complex. This brings infinite possibilities for data pipelines to break and a host of other issues, severely deteriorating the quality of the data and causing teams to lose trust. RudderStack helps you build a customer data platform on your warehouse or data lake.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Netflix Tech

MARCH 7, 2024

Data: Fast Data Our main data lake is hosted on S3, organized as Apache Iceberg tables. For ETL and other heavy lifting of data, we mainly rely on Apache Spark. Explainer flow is event-triggered by an upstream flow, such Model A, B, C flows in the illustration. ETL workflows), as well as downstream (e.g.

Systems 90

Systems Media Machine Learning Data Warehouse 90

ProjectPro

FEBRUARY 16, 2023

AWS Glue has a central metadata repository called the Glue catalog. This ETL engine produces the Scala or Python code for the ETL process and features for ETL jobs monitoring, scheduling, and metadata management. To create a Data Catalog, you need to specify the data stores you want to use and the data format for each store.

AWS 52

AWS Data Management ETL Tools Management 52

Striim

JANUARY 4, 2023

A data contract is a formal agreement between the users of a source system and the data engineering team that is extracting data for a data pipeline. This data is loaded into a data repository — such as a data warehouse — where it can be transformed for end users. temperature).

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

Monte Carlo

MAY 31, 2022

When a data pipeline breaks, data engineers need to immediately understand where the rupture occurred and what has been impacted. Data downtime is costly. Field-level data lineage (not necessarily Spark lineage) with hundreds of connections between objects in upstream and downstream tables.

Data Lake 52

Data Lake Building Scala Metadata 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Data Engineering Podcast

JUNE 17, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. What are the most interesting, innovative, or unexpected ways that you have seen column-aware data modeling used?

Data Lake 130

Data Lake Metadata Data Architecture Machine Learning 130

ProjectPro

JULY 23, 2021

AWS Athena Big Data Project for Querying COVID-19 Data 25. Build an AWS ETL Data Pipeline in Python on YouTube Data 26. Build a Real-Time Streaming Data Pipeline using Flink and Kinesis Jump-Start Your Cloud Career with Real-Time Hands-On AWS Projects FAQs on AWS Projects 1. What are AWS projects?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Data Engineering Podcast

NOVEMBER 26, 2023

Developing event-driven pipelines is going to be a lot easier - Meet Functions! Data lakes are notoriously complex. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Towards Data Science

FEBRUARY 9, 2024

As a result, here’s a short list of what inspired me to write an amendment to my original 2021 article : Scale Companies, big and small, are starting to reach levels of data scale previously reserved for Netflix, Uber, Spotify and other giants creating unique services with data.

Building 82

Building Transportation Data Lake Metadata 82

Data Engineering Podcast

NOVEMBER 20, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Monte Carlo

AUGUST 10, 2023

Data observability tools employ automated monitoring, root cause analysis, data lineage, and data health insights to proactively detect, resolve, and prevent data anomalies. Freshness : Freshness seeks to understand how up-to-date your data tables are, as well as the cadence at which your tables are updated.

Data Pipeline 98

Data Pipeline Software Engineer Software Engineering Machine Learning 98

Ascend.io

DECEMBER 11, 2023

Here’s the deal: for data to truly drive your business forward, you need a reliable and scalable system to keep it moving without hiccups. In other words, you need data orchestration. In this article, we’ll break down what data orchestration is, its significance, and how it differs from data pipeline orchestration.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Data Engineering Weekly

DECEMBER 4, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. link] Barr Moses: What’s Next for Data Engineering in 2023?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

JANUARY 15, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. 2023 predictions from the panel are; Unified metadata becomes kingmaker.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

AltexSoft

NOVEMBER 7, 2022

The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. The ELT workflow. ELT process steps.

Process 52

Process Building Raw Data Data Lake 52

Monte Carlo

AUGUST 16, 2022

What went wrong with my data?!” If you’ve been on the receiving end of a broken data pipeline, these questions probably look familiar to you. To this end, we’re excited to announce Monte Carlo’s and dbt Labs strategic partnership to help teams ship more reliable data, faster, through robust testing and monitoring.

Engineering 52

Engineering Data Lake Retail BI 52

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Figure 1: Example data pipeline with manual processes. Monitoring Job Metadata.

Engineering 60

Engineering BI Business Analyst Metadata 60

Rockset

NOVEMBER 28, 2022

First, CDC theoretically allows companies to analyze and react to data in real time, as it’s generated. It works with existing streaming systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs, making it easier than ever to build a real-time data pipeline. Estuary : A real-time data operations platform.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two.

Architecture 52

Architecture Data Lake Medical Datasets 52

ProjectPro

NOVEMBER 15, 2021

To execute pipelines, beam supports numerous distributed processing back-ends, including Apache Flink, Apache Spark , Apache Samza, Hazelcast Jet, Google Cloud Dataflow, etc. It serves as a distributed processing engine for both categories of data streams: unbounded and bounded.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. The difference between data warehouses, lakes, and marts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

AUGUST 24, 2021

Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

OCTOBER 8, 2021

They are applied to retrieve data from the source systems, perform transformations when necessary, and load it into a target system ( data mart , data warehouse, or data lake). So, why is data integration such a big deal? Connections to both data warehouses and data lakes are possible in any case.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 31, 2022

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc. What Does Snowflake Do?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Rockset

JULY 25, 2019

This is an operational analytics query because it allows the game developer to make instant decisions based on analysis of current events. encompasses your data pipeline that sources data from various sources deposits it into your data lake or data warehouse runs various transformations to extract insights, and then.

Software Engineer 40

Software Engineer Software Engineering Engineering PostgreSQL 40

ProjectPro

OCTOBER 20, 2021

This is used in social media to better gauge sentiments towards an event or a product. Experimentation in production Big Data Data Warehouse for core ETL tasks Direct data pipelines Tiered Data Lake 4. User Behaviour User Behaviour began as Security Information and Event Management (SIEM).

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.

Kafka 84

Kafka Manufacturing Data Lake SQL 84