ProjectPro

FEBRUARY 16, 2023

Cloud computing has made it easier for businesses to move their data to the cloud for better scalability, performance, solid integrations, and affordable pricing. Data integration with ETL has changed in the last three decades. AWS provides various relational and non-relational data stores that act as data sources in an ETL pipeline.

AWS 52

AWS Data Management ETL Tools Management 52

Striim

NOVEMBER 30, 2022

According to an IDG Market Pulse survey , companies collect data from 400 sources on average. We are excited to launch Striim Cloud on AWS: a real-time data integration and streaming platform that connects clouds, data and applications with unprecedented speed and simplicity.

AWS 52

AWS Cloud Management MySQL 52

Data Engineering Weekly

NOVEMBER 26, 2023

source: Meta - The future of the data engineer Companies are at various stages of this model, which means certain patterns and predictions may align with your organization's maturity level while others might not. Microsoft is entering into the integrated infrastructure with Fabric. The sequence of Redshift migration is one part of it.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Data Engineering Podcast

MAY 1, 2022

In this episode Doron Porat and Liran Yogev explain how they arrived at their current architecture, the capabilities that they are optimizing for, and the complex process of identifying and evaluating new components to integrate into their systems. What are the core data types and sources that you are working with?

Data Warehouse 100

Data Warehouse Data Lake Architecture Data 100

Data Engineering Weekly

APRIL 2, 2023

Now you can win $1,000 cash by contributing a Transformation to our open-source library. Twitter: Twitter's Recommendation Algorithm Twitter open-source its recommendation engine code. A schema control plan and event-sourcing data plane are more scalable architecture patterns. Seriously, come on, Redshift team!!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Podcast

APRIL 3, 2022

Open Source DataHub is running in production at several companies like Peloton, Optum, Udemy, Zynga and others. Signup for the SaaS product at dataengineeringpodcast.com/acryl Hey Data Engineering Podcast listeners, want to learn how the Joybird data team reduced their time spent building new integrations and managing data pipelines by 93%?

Designing 100

Designing Data Warehouse Data Engineering Data Engineer 100

Christophe Blefari

APRIL 14, 2023

He says that Redshift is not anymore competing in the warehousing space, which I agree with. Jeremy wrote a post that showcases how to do it. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS.

Datasets 130

Datasets Data Deep Learning SQL 130

Precisely

JUNE 2, 2023

Read our eBook 5 Tips to Modernize Data Integration for the Cloud Real-time CDC and ETL solutions from Precisely help you break down data silos, become data-driven, and gain a competitive advantage. It requires a carefully considered approach to data integration and data integrity. To learn more, read our ebook.

Cloud 52

Cloud Insurance Data Integration Portfolio 52

Data Engineering Podcast

DECEMBER 4, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Knowledge Hut

OCTOBER 26, 2023

Source code: GitHub 2. Source Code: Mass Emailing 3. Source Code: GitHub 4. Source Code: GitHub 5. Source code: GitHub 2. CMSs are pre-configured web development solutions used for managing content for websites. Amazon S3 and EC2 instances can also be used to host a website.

AWS 52

AWS Coding Project Cloud Computing 52

Data Engineering Podcast

JULY 10, 2022

Beyond the work of assembling a set of technologies and building integrations across them, there is also the work of growing and organizing a team that can support and benefit from that platform. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

AUGUST 27, 2021

Summary The reason that so much time and energy is spent on data integration is because of how our applications are designed. In your experience working in data and building complex enterprise-grade systems, what are the shortcomings and negative externalities of an ETL/ELT approach to data integration? What is Zero-Copy Integration?

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Knowledge Hut

NOVEMBER 17, 2023

You can use Amazon ECS to plan the location of containers and integrate your own scheduler to address business requirements and reminders. It is a simple and cost-effective way of getting the best of commercial platforms and open source servers. ElastiCache supports two widely adopted open-source engines – Memcached and Redis.

AWS 52

AWS Amazon Web Services PostgreSQL Relational Database 52

ProjectPro

JANUARY 24, 2023

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. What client languages, data formats, and integrations does AWS Glue Schema Registry support? The MaxRetries option in Glue has a native retry mechanism.

AWS 52

AWS Data Lake ETL Tools Scala 52

Monte Carlo

JANUARY 3, 2024

And in the long run, a quick integration with the OpenAI API won’t cut it. And because it’s early, the generative AI features that have been integrated are just “ChatGPT but over here.” Sure, you could integrate your AI model more deeply into your organization’s processes, but that feels risky. It’s GenAI, but where’s the moat?

Technology 113

Technology Database Data Governance Data Engineering 113

Precisely

JANUARY 18, 2024

Yet mainframes weren’t initially designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

Technology 52

Technology AWS Cloud Computing Data Lake 52

Data Engineering Podcast

APRIL 26, 2021

Superset is an open source option that has been gaining popularity due to its flexibility and extensible feature set. He digs into how it integrates with your data stack, how you can extend it to fit your use case, and why open source systems are a good choice for your business intelligence. in a Superset dashboard?

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Data Engineering Podcast

MARCH 22, 2021

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. What are the barriers to entry?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Rockset

JULY 29, 2022

You can aggregate and analyze relevant data from multiple sources without worrying about inconsistent and inaccessible data. This consistency promotes data integrity, so you can trust the insights to make informed decisions. Amazon Redshift Amazon Redshift cloud data warehouse is a fully-managed SQL analytics service.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Data Engineering Podcast

AUGUST 10, 2021

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming.

IT 130

IT Building Data Warehouse Python 130

Data Engineering Podcast

MAY 10, 2021

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming.

PostgreSQL 100

PostgreSQL Data Warehouse Data Pipeline Kafka 100

Data Engineering Podcast

MARCH 8, 2021

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more.

IT 100

IT Data Warehouse MongoDB Kafka 100

Monte Carlo

DECEMBER 13, 2023

Schema change monitors are critical because we aren’t always informed by the engineering team about schema changes in the source database,” Daniel says. And Daniel describes Performance as his “best friend” in supporting a big project to remove dependencies on Redshift schemas from their BI tool. “I

BI 52

BI Data Ingestion SQL Data Warehouse 52

Cloudera

JUNE 2, 2022

allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination. I want integration between all my systems. That’s why we love that Cloudera uses NiFi and the way it integrates between all systems. Why does every organization need it when using a modern data stack?

Systems 98

Systems Data Lake Google Cloud Data Collection 98

Data Engineering Podcast

JULY 28, 2019

Summary The ETL pattern that has become commonplace for integrating data from multiple sources has proven useful, but complex to maintain. In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration. Can you talk through an example use case?

Data Integration 100

Data Integration Metadata Media Architecture 100

Data Engineering Podcast

MARCH 29, 2021

They explain how they started down the path of building a solution for managing data quality, their philosophy of how to empower data engineers with well engineered open source tools that integrate with the rest of the platform, and how to bring all of the stakeholders onto the same page to make your data great.

Management 100

Management Data Warehouse BI Data Pipeline 100

Striim

JULY 7, 2023

Analytical workloads aren’t meant for transactional databases, which are optimized for high latency reads, writes, and data integrity. Examples included popular data warehouses like Snowflake, Redshift, and BigQuery. Make sure archive logs are stored on the source based on the CDC tool’s current specifications.

PostgreSQL 52

PostgreSQL MySQL Data Warehouse Data Pipeline 52

Data Engineering Podcast

MAY 25, 2020

Dreamdata integrates data from the multitude of platforms that are used by these organizations so that they can get a comprehensive view of their customer lifecycle. What are the data sources that you are dealing with to generate meaningful analytics for your customers? Make sure to use the code AISPRINGBOARD when you enroll.

Machine Learning 100

Machine Learning Portfolio Deep Learning Data Engineering 100

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. What was the motivation for releasing Presto as open source? This frequently requires cumbersome and time-consuming data integration.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Data Engineering Podcast

JULY 3, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Build powerful workflows that connect your entire data stack end-to-end with a mix of your code and their open-source, low-code templates. BigQuery, Redshift, Snowflake, Firebolt, etc.)

Architecture 100

Architecture Metadata MongoDB MySQL 100

Cloudera

JUNE 2, 2021

Incomplete visibility into the lineage of the data pipelines from source to target . Robust orchestration using Airflow that allows for flexible flows of the integration and transformation jobs across Spark and Hive engines utilizing latest innovations such as large query isolation in CDP’s Data Warehouse service .

Data Pipeline 88

Data Pipeline Data Warehouse Machine Learning Data Architect 88

Monte Carlo

JANUARY 5, 2024

Data lakehouses, like Databricks’ Delta Lake , Amazon Redshift Spectrum , and now Snowflake for Data Lakehouse , help to unify data warehousing, machine learning, and analytics. This starts at the data source. Data lineage also enables a data team to track the provenance and transformation of data to understand how it has evolved.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouses, like Databricks’ Delta Lake , Amazon Redshift Spectrum , and now Snowflake for Data Lakehouse , help to unify data warehousing, machine learning, and analytics. This starts at the data source. Data lineage also enables a data team to track the provenance and transformation of data to understand how it has evolved.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Ascend.io

SEPTEMBER 12, 2023

As businesses find themselves increasingly reliant on big data and analytics, the traditional process of data integration, primarily ETL (Extract, Transform, Load), can sometimes act as a bottleneck. Snowflake followed suit, launching hybrid tables and partnering with Salesforce to further modernize data integration.

Amazon Web Services 52

Amazon Web Services Data Warehouse MySQL AWS 52

Workfall

JULY 4, 2023

They are responsible for verifying the quality and integrity of the data within the models and transformations. Now, let’s explore how DBT integrates with databases and data warehouses. DBT seamlessly integrates with popular databases and data warehouses, such as PostgreSQL , BigQuery, Redshift , and Snowflake.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Data Engineering Podcast

FEBRUARY 8, 2021

They explain how the structured the project to allow for multiple teams to collaborate in a scalable manner, the additional tooling that they added to address the edge cases that they have run into, and the optimizations that they baked into their continuous integration process to provide fast feedback and reduce costs.

Data Warehouse 100

Data Warehouse Building BI SQL 100

Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

Technology 52

Technology AWS Cloud Computing Data Lake 52