Data Engineering Podcast

OCTOBER 2, 2022

Roambee is a platform that collects, integrates, and analyzes all of that information to provide companies with the critical insights that businesses need to stay running, especially in a time of such constant change. Summary The global economy is dependent on complex and dynamic networks of supply chains powered by sophisticated logistics.

Metadata 100

Metadata Electronics MongoDB MySQL 100

Grouparoo

JULY 18, 2021

Grouparoo Cloud helps make deployments quick and easy, optimizes Infrastructure for your Grouparoo instance, and provides Github integration for Continuous Deployment and Testing. This includes aspects such as config-as-code checked into git, tests and continuous integration, code reviews, staging environments, and production deployments.

Data Warehouse 52

Data Warehouse Data Integration Cloud Coding 52

Data Engineering Podcast

SEPTEMBER 25, 2022

Prefect specializes in glueing together the disparate pieces of a pipeline, and integrating with modern distributed compute libraries to bring power where you need it, when you need it. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

AUGUST 12, 2019

Because of the myriad sources and destinations that are available, it is also among the most difficult tasks that we encounter. Integration of multiple data sources (e.g. What have you found to be the most challenging aspects of working in the space of data integrations?}} Integration of multiple data sources (e.g.

Media 100

Media Data Warehouse Data Big Data 100

Data Engineering Podcast

OCTOBER 16, 2022

Prefect specializes in glueing together the disparate pieces of a pipeline, and integrating with modern distributed compute libraries to bring power where you need it, when you need it. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Database 100

Database Metadata MongoDB MySQL 100

Data Engineering Podcast

OCTOBER 9, 2022

In order to make the data lakehouse available to a wider audience the team at Iomete built an all-in-one service that handles management and integration of the various technologies so that you can worry about answering important business questions. are already available as plug-and-play connectors with reliable, intuitive SaaS solutions.

Metadata 100

Metadata MongoDB AWS MySQL 100

Data Engineering Podcast

MAY 10, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. For users of Tinybird, can you talk through the workflow of getting it integrated into their platform and designing an API from their data? Sound exciting?

PostgreSQL 100

PostgreSQL Data Warehouse Data Pipeline Kafka 100

Data Engineering Podcast

FEBRUARY 22, 2021

Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed platforms available, but the list of options for an open source system that supports a large variety of sources and destinations is still embarrasingly short.

Data Integration 100

Data Integration Data Warehouse Data Pipeline BI 100

Grouparoo

FEBRUARY 25, 2021

Developers have been using the Grouparoo UI to set up automated data movement from their databases to Mailchimp, Marketo, Salesforce, and more. While having these integrations already written for them saved plenty of time, there was something they missed: their normal developer workflow. Here is the example app from the video.

Data 52

Data Database Cloud Engineering 52

Grouparoo

SEPTEMBER 22, 2020

I have been working on the Salesforce integration. Grouparoo connects with sources, processes the data from them, and sends that data to destinations. When data is sent to a destination, we call it an export. connect = async ( { appOptions } ) => { // get a connection to salesforce } ; exports.

Coding 52

Coding Process Engineering IT 52

Data Engineering Podcast

MARCH 8, 2021

This introduces challenges such as keeping information synchronized, managing schema evolution, building transformations to match the expectations of the destination systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

IT 100

IT Data Warehouse MongoDB Kafka 100

Grouparoo

OCTOBER 26, 2021

As a result, data has to be moved between the source and destination systems and this is usually done with the aid of data pipelines. A data pipeline is a set of processes that enable the movement and transformation of data from different sources to destinations. Destinations can vary depending on the use case of the pipeline.

Data Pipeline 52

Data Pipeline ETL Tools ETL System Data Warehouse 52

Knowledge Hut

MARCH 13, 2024

Average Software Engineer salary: $93,019 Best cities for software engineers: City Average Salary Toronto CA$1,02,009 Vancouver CA$1,06,846 Calgary CA$81,615 Best Companies for Software Engineers: Salesforce, Paysafe Group, SAP, Maropost. It is of great importance to master the local language to be better integrated.

Software Engineer 52

Software Engineer Software Engineering Engineering Education 52

Grouparoo

DECEMBER 14, 2021

The ETL data integration process has been around for decades and is an integral part of data analytics today. Since modern ETL processes extract data from a variety of SaaS tools, the extraction process often involves integrating with the APIs of these SaaS products. What is ETL? Of course, each approach has its pros and cons.

Process 52

Process Raw Data Data Warehouse Data Pipeline 52

Data Engineering Weekly

MARCH 12, 2023

Feature design Feature catalog Feature computation engine Feature governance Feature monitoring [link] Sponsored: RudderStack Transformations - Move Faster and Build Data Trust With Device Mode Transformations, you can transform data sent to downstream integrations running in device mode. from the browser or mobile app).

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 52

ProjectPro

DECEMBER 7, 2021

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. Organizations have built robust data pipelines to mitigate such problems by consolidating data from all distinct data sources into one common destination.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Christophe Blefari

MARCH 2, 2024

Extract and load, still unsolved 🤭 I've started writing data pipelines in 2014 and the movement from sources to destinations has always been one of the most discussed topic in my data engineering spaces. In 2024 we are more than ever tools to move data from sources to destinations. But the field has taken a new direction.

Data 162

Data Python Database BI 162

Monte Carlo

APRIL 16, 2022

Not to mention, loading (the “L” in ELT) had become much easier to integrate in the cloud. An emphasis is placed on preventing data loss as well as ensuring data observability, integrity, usability, and lifecycle management. Achieving one – or attempting to achieve one – is a journey and not a destination.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

Data Engineering Podcast

NOVEMBER 20, 2022

Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc., Hevo is a reliable and intuitive data pipeline platform that enables near real-time data movement from 150+ disparate sources to the destination of your choice.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

phData: Data Engineering

MARCH 8, 2023

With so many data integration tools available in the market, it can be difficult to determine which one is the best fit for your organization. Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources.

IT 96

IT Data Warehouse Data Ingestion Data Integration 96

Data Engineering Podcast

OCTOBER 23, 2022

Prefect specializes in glueing together the disparate pieces of a pipeline, and integrating with modern distributed compute libraries to bring power where you need it, when you need it. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Project 130

Project Metadata MongoDB MySQL 130

ThoughtSpot

SEPTEMBER 6, 2023

Our new SpotApp integration allows users to launch a Fivetran connector and a corresponding ThoughtSpot analytics template in a single workflow. Popular templates include Salesforce pipeline analytics, ServiceNow incident management, and Snowflake query performance. Keep reading to see how it works. What is a SpotApp?

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Grouparoo

JANUARY 30, 2022

release, we added Models, which allowed data engineers to sync multiple data schemas to Destinations. Salesforce adds two new Destinations targeted at syncing Contacts and Accounts. There is still the option to sync to any Salesforce Object with the older integration, but now it is even easier for these common use cases.

PostgreSQL 52

PostgreSQL MySQL Data Schemas SQL 52

Data Engineering Podcast

NOVEMBER 27, 2022

Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc., What are some of the ways that ArrowVe and its related projects can be integrated with or replace the different elements of a data platform? Can you describe how Arrow is implemented?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Grouparoo

OCTOBER 21, 2021

Data synchronization is often confused with data integration. Integration refers to combining multiple data sources to form new information or insights to fuel business decisions. Having a data stack that reliably syncs data from your sources to your destinations enables powerful operational analytics and business intelligence.

Data Warehouse 52

Data Warehouse Data MySQL Cloud 52

Grouparoo

AUGUST 24, 2021

Customer Data Integration makes this possible. CRM data integration and other forms of customer integration are crucial for being able to make wise decisions for your business. What is Customer Data Integration Customer Data Integration (CDI) is essentially the process of bringing together your disparate sources of data.

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

Data Engineering Podcast

MARCH 4, 2019

In this interview Segment CTO and co-founder Calvin French-Owen explains how the company got started, how it manages to multiplex data streams from multiple sources to multiple destinations, and how it can simplify your work of gaining visibility into how your customers are engaging with your business.

Google Cloud 100

Google Cloud Kafka Media Data Warehouse 100

Monte Carlo

MARCH 14, 2023

Data ingestion works by transferring data from a variety of sources into a single common destination, where data orchestrators can then analyze it. a new transaction, an updated stock price, a power outage alert) to the destination data cloud without disrupting the database workload.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

Ascend.io

DECEMBER 21, 2022

For example, Salesforce, Hubspot, or Marketo To get the data into these operational systems, data teams used to write their own API connectors from the data warehouse to SaaS solutions. As we hinted at in the introduction, reverse ETL stands on the shoulders of two data integration techniques: ETL and ELT. We swapped the “L” and “T”.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52

Monte Carlo

JANUARY 12, 2023

Our first step was to create a base foundation and integrated set of capabilities from which our team could quickly deliver valuable data products. Layer 1: The data repository The main challenge is that we had our BI tool integrated directly with where our transactional data was landing in our operational database (Postgres).

Architecture 52

Architecture Building Data Warehouse BI 52

Data Engineering Podcast

SEPTEMBER 18, 2022

Even when a tool is designed to integrate information as a guard against data isolation, it can easily become a silo of its own, where you have to make a point of using it to seek out information. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Building 100

Building Metadata MongoDB MySQL 100

ProjectPro

AUGUST 21, 2015

Core components of a Hadoop application are- 1) Hadoop Common 2) HDFS 3) Hadoop MapReduce 4) YARN Data Access Components are - Pig and Hive Data Storage Component is - HBase Data Integration Components are - Apache Flume, Sqoop, Chukwa Data Management and Monitoring Components are - Ambari, Oozie and Zookeeper. Agent- Any JVM that runs Flume.

Hadoop 40

Hadoop Big Data Metadata Java 40

Rockset

NOVEMBER 2, 2021

Rockset’s new partner integrations with leading reverse ETL platforms Census, Hightouch, and Omnata will enable everyday business tools to consume real-time customer insights seamlessly from Rockset. This is why customers are excited about Rockset’s new partner integrations with leading reverse ETL platforms Census , Hightouch , and Omnata.

Database 52

Database Data Warehouse Data Datasets 52

Monte Carlo

MAY 17, 2023

Flag System Authorization And Integration Failures Mitigate Risk of Code Failures 10. Integrate Data Stacks Post Merger 35. For example, Yotpo’s business applications team, the group responsible for integrating and maintaining internal operational systems such as Salesforce, wanted to replace an outdated field with a new one.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Flag System Authorization And Integration Failures Mitigate Risk of Code Failures 10. Integrate Data Stacks Post Merger 35. For example, Yotpo’s business applications team, the group responsible for integrating and maintaining internal operational systems such as Salesforce, wanted to replace an outdated field with a new one.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52