Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. SQL Server version upgrade) Section 2: Types of Migrations for Infrastructure Focus Storage migration: Moving data between systems (HDD to SSD, SAN to NAS, etc.) Starburst : ![Starburst

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Databand.ai

JULY 11, 2023

Data quality platforms can be standalone solutions or integrated into broader data management ecosystems, such as data integration, business intelligence (BI), or data analytics tools. In this article: Why Do You Need a Data Quality Platform?

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 52

Ascend.io

APRIL 27, 2023

Enhanced scalability: Data pipeline automation enables organizations to easily scale their data infrastructure to handle increasing data volumes and complexity, without compromising performance or agility. The sessions revealed how data pipelines built with automation offer superior results compared to traditional approaches.

Data Pipeline 52

Data Pipeline Pipeline-centric Data Validation Data Engineering 52

Databand.ai

JUNE 14, 2023

It enables: Enhanced decision-making: Accurate and reliable data allows businesses to make well-informed decisions, leading to increased revenue and improved operational efficiency. Risk mitigation: Data errors can result in expensive mistakes or even legal issues.

Amazon Web Services 52

Amazon Web Services Datasets High Quality Data ETL Tools 52

Ascend.io

JUNE 8, 2023

Acting as the core infrastructure, data pipelines include the crucial steps of data ingestion, transformation, and sharing. Data Ingestion Data in today’s businesses come from an array of sources, including various clouds, APIs, warehouses, and applications. But how do you unlock these capabilities?

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52