Workfall

JUNE 12, 2023

Query2: Here, we have created a simple employee table and we are going to add a row: The inserted data is as follows: Step 2: Python script to load the data from our transactional database to Snowflake: Now, we will write a Python script to load this table data from our transactional database to Snowflake.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Podcast

SEPTEMBER 4, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Christophe Blefari

SEPTEMBER 28, 2023

When it comes to incrementally change a data platform this is a bit different, you need to find what is going wrong and what could be improved. This is a YC company and they propose a product that automates slide deck with data coming from your data stack. Without engineering or manual work. Kolena raises $15m Series A.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. __init__ to learn about the Python language, its community, and the innovative ways it is being used.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Data Engineering Podcast

JULY 17, 2022

Contact Info Email LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? __init__ covers the Python language, its community, and the innovative ways it is being used. __init__ covers the Python language, its community, and the innovative ways it is being used.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

JULY 31, 2022

Your host is Tobias Macey and today I’m interviewing Ernie Ostic about Manta, an automated data lineage service for managing visibility and quality of your data workflows Interview Introduction How did you get involved in the area of data management? Can you describe what Manta is and the story behind it?

IT 100

IT Metadata MongoDB MySQL 100

Netflix Tech

NOVEMBER 14, 2023

Callouts Having the Psyberg step isolated from the core data pipeline allows us to maintain a consistent pattern that can be applied across stateless and stateful processing pipelines with varying requirements. This also enables us to update the Psyberg layer without touching the workflows.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Data Engineering Podcast

JANUARY 1, 2022

Over the past couple of months, we’ve seen the resurgence of “benchmark wars” between major data warehousing platforms. To what extent do speed benchmarks inform decisions for modern data teams? How important is query speed in a modern data workflow? How has the way data teams work been changing?

Data Warehouse 100

Data Warehouse Data Lake SQL Hadoop 100

Knowledge Hut

MARCH 28, 2024

Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Collaborate with data scientists to implement and optimize machine learning models.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

SEPTEMBER 21, 2021

x they are separate python packages maintained by each service provider, allowing more flexibility in Airflow releases. Using provider operators that are tested by a community of users reduces the overhead of writing and maintaining custom code in bash or python, and simplifies the DAG configuration as well.

Python 93

Python Cloud Data Workflow Accessible 93

Data Engineering Podcast

MAY 3, 2021

Summary The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. Closing Announcements Thank you for listening!

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

APRIL 5, 2021

Your host is Tobias Macey and today I’m interviewing Prukalpa Sankar about Atlan, a modern data workspace that makes collaboration among data stakeholders easier, increasing efficiency and agility in data projects Interview Introduction How did you get involved in the area of data management?

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Monte Carlo

JULY 27, 2023

The skills, languages and tools of a data quality engineer Data quality engineers need to be highly skilled in multiple programming languages such as SQL (mentioned in 61% of postings), Python (56%), and Scala (13%). Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Workfall

JULY 18, 2023

Additionally, they offer a way to keep your transformed data up to date without redoing the entire transformation process. By using DBT materializations, you can streamline your data workflows and focus on gaining insights rather than spending excessive time on repetitive calculations.

Datasets 77

Datasets Entertainment Data Workflow Data 77

DareData

NOVEMBER 28, 2023

A big step in quality and management can be achieved by finding a tool that aids in controlling and visualizing our code’s workflow. This is commonly referred to as task orchestration, automation and data workflow. Two nice features of Prefect: It is written in Python! So how does it work?

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

SEPTEMBER 25, 2023

Data Engineer Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Meltano

JULY 7, 2022

Those best practices, such as version control, a unified development environment, and continuous, built-in testing, can also be brought to data workflows. Now it’s Data’s Turn The data profession is about five years behind software engineering. Data is just very different from dev.

BI 52

BI Software Engineer Software Engineering Data Workflow 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Hepta Analytics

FEBRUARY 14, 2022

Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 2, 2023

Using Azure Databricks and Delta Lake for Big Data Analytics Utilizing Apache Spark for data processing and keeping a dependable and effective data lake, create a large data processing and analytics solution utilizing Azure Databricks and Delta Lake. Aptitude for learning new big data techniques and technologies.

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Knowledge Hut

NOVEMBER 17, 2023

cloud Technical Skills for Azure Data Engineers Here I have listed the skills required for an Azure data engineer: 1. Programming and Scripting Languages Proficiency in languages like Python for data manipulation and SQL for database querying, enabling efficient data processing and analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

DECEMBER 21, 2021

A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. Amongst all the options, Python is the go-to language for machine learning. Also, you will find many Python code snippets available online that will assist you in the same.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Data Engineering Podcast

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Knowledge Hut

DECEMBER 28, 2023

This certification, often referred to as the Azure Data Engineer Associate certification, validates the competency of individuals in implementing Azure data solutions. It’s a testament to their ability to create scalable, efficient and secure data pipelines. What is the Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

MARCH 31, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Datafold has recently launched data replication testing, providing ongoing validation for source-to-target replication. Your first 30 days are free! Your first 30 days are free!

Project 130

Project Data Lake High Quality Data Data Workflow 130

Knowledge Hut

SEPTEMBER 29, 2023

You must have a solid grasp of ideas in parallel processing, data architecture, and data computation languages like SQL, Python, or Scala in order to become a Microsoft Certified Azure Data Engineer. Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

APRIL 21, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Monte Carlo

SEPTEMBER 20, 2022

Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents.

Big Data 52

Big Data Data Warehouse Data Data Governance 52

Data Engineering Podcast

APRIL 28, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Building 130

Building Data Lake High Quality Data Machine Learning 130

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Data lakes are notoriously complex.

Database 147

Database Data Lake High Quality Data Data Workflow 147

Data Engineering Podcast

SEPTEMBER 17, 2023

If you’re a data person, you probably have to jump between different tools to run queries, build visualizations, write Python, and send around a lot of spreadsheets and CSV files. Its powerful notebook UI lets you analyze data in SQL, Python, or no-code, in any combination, and work together with live multiplayer and version control.

Building 189

Building BI SQL Python 189

Data Engineering Podcast

FEBRUARY 18, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

MARCH 24, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

DataKitchen

JANUARY 3, 2022

ETL, SQL, Python, XML, tableau workbooks, etc.) and integrating them into a shared system: inserting nuggets into pipelines, creating tests, running the data factory, automating deployments, working across people/teams, measuring success and enabling self-service. A lot of industries talk about bringing data together in data hubs.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

Data Engineering Podcast

DECEMBER 3, 2023

This episode is brought to you by Datafold – a testing automation platform for data engineers that finds data quality issues for every part of your data workflow, from migration to deployment. Datafold has recently launched a 3-in-1 product experience to support accelerated data migrations. Datafold : ![Datafold]([link]

Systems 130

Systems Designing Data Lake SQL 130

Data Engineering Podcast

DECEMBER 24, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Data Engineering Podcast

FEBRUARY 4, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Contact Info yingjunwu on GitHub Personal Website LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173