Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility. Data teams are increasingly under pressure to deliver.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 4, 2022

Sust Global was created to provide curated data sets for organizations to be able to analyze climate information in the context of their business needs. Data stacks are becoming more and more complex. All thanks to 50+ quality checks, extensive column-level lineage, and 20+ connectors across the Data Stack.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Monte Carlo

DECEMBER 13, 2023

Over the last five years, data observability has leveled up from industry buzzword to a must-have element of every data stack. With data observability, teams can identify and proactively resolve incidents of data downtime — moments when data is partial, erroneous, missing, or otherwise inaccurate. The outcome?

BI 52

BI Data Ingestion SQL Data Warehouse 52

Monte Carlo

APRIL 24, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. But it’s not just our data platform that impacts how we define the problem and its solution.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share, and manage their data assets.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Ascend.io

DECEMBER 21, 2022

Solution eliminates the cost of loading and syncing data from all sources within the Ascend platform, allowing teams to focus on accelerating business value. The new feature will address three critical ingest challenges: cost, complexity, and security. Free ingest from Ascend changes the math for us. MENLO PARK, Calif. , Dec.

Data Ingestion 52

Data Ingestion Google Cloud Data Lake Cloud 52

Monte Carlo

MAY 25, 2023

Picture this: your data is scattered. Data pipelines originate in multiple places and terminate in various silos across your organization. Your data is inconsistent, ungoverned, inaccessible, and difficult to use. What these companies need—what you might need—is data orchestration. Improved data governance.

Data Pipeline 52

Data Pipeline Data Workflow Data Data Governance 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

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Ascend.io

MAY 19, 2023

Picture a data engineering leader, like a captain at the helm of a ship, navigating the vast ocean of data. The modern data stack promised a vessel with cutting-edge navigation tools to sail smoothly through this ocean. Enter the post-modern data stack. This is the modern data stack as we know it today.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Media 52

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

Snowflake

MARCH 27, 2023

It seems everyone has a handful of such shapes in their raw data, and in the past they had to fix those shapes outside of Snowflake before ingesting them. Introducing CARTO Workflows Snowflake’s powerful data ingestion and transformation features help many data engineers and analysts who prefer SQL.

Generalist 52

Generalist Raw Data Business Analyst SQL 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59