https://insideainews.com/tag/etl/ Illuminating AI's Frontiers: Your Go-To News Destination. Thu, 29 Jun 2023 21:58:52 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/etl/ 32 32 136462205 https://insideainews.com/2023/07/04/why-do-we-prefer-elt-rather-than-etl-in-the-data-lake-what-is-the-difference-between-etl-elt/ https://insideainews.com/2023/07/04/why-do-we-prefer-elt-rather-than-etl-in-the-data-lake-what-is-the-difference-between-etl-elt/#comments Tue, 04 Jul 2023 10:10:00 +0000 https://insidebigdata.com/?p=32768 In this article, Ashutosh Kumar discusses the emergence of modern data solutions that have led to the development of ELT and ETL with unique features and advantages. ELT is more popular due to its ability to handle large and unstructured datasets like in data lakes. Traditional ETL has evolved into cloud-based ETL which allows rapid batch processing, scalability, savings, and simplicity while maintaining security, governance, and compliance. ]]> https://insideainews.com/2023/07/04/why-do-we-prefer-elt-rather-than-etl-in-the-data-lake-what-is-the-difference-between-etl-elt/feed/ 1 32768 https://insideainews.com/2022/11/03/video-highlights-modernize-your-ibm-mainframe-netezza-with-databricks-lakehouse/ https://insideainews.com/2022/11/03/video-highlights-modernize-your-ibm-mainframe-netezza-with-databricks-lakehouse/#respond Thu, 03 Nov 2022 13:09:00 +0000 https://insidebigdata.com/?p=30797 In the video presentation below, learn from experts how to architect modern data pipelines to consolidate data from multiple IBM data sources into Databricks Lakehouse, using the state-of-the-art replication technique—Change Data Capture (CDC).]]> https://insideainews.com/2022/11/03/video-highlights-modernize-your-ibm-mainframe-netezza-with-databricks-lakehouse/feed/ 0 30797 https://insideainews.com/2022/04/06/databricks-announces-general-availability-of-delta-live-tables/ https://insideainews.com/2022/04/06/databricks-announces-general-availability-of-delta-live-tables/#respond Wed, 06 Apr 2022 13:00:00 +0000 https://insidebigdata.com/?p=28936 Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, announced the general availability of Delta Live Tables (DLT), the first ETL framework to use a simple declarative approach to build reliable data pipelines and to automatically manage data infrastructure at scale. Turning SQL queries into production ETL pipelines often requires a lot of tedious, complicated operational work. By using modern software engineering practices to automate the most time consuming parts of data engineering, data engineers and analysts can concentrate on delivering data rather than on operating and maintaining pipelines.]]> https://insideainews.com/2022/04/06/databricks-announces-general-availability-of-delta-live-tables/feed/ 0 28936 https://insideainews.com/2020/11/25/data-platforms-a-journey-the-yesteryears-today-and-what-lies-ahead/ https://insideainews.com/2020/11/25/data-platforms-a-journey-the-yesteryears-today-and-what-lies-ahead/#respond Wed, 25 Nov 2020 14:00:00 +0000 https://insidebigdata.com/?p=25304 In this contributed article, Darshan Rawal, Founder and CEO of Isima, explains how the data ecosystem has exploded in the last decade to deal with multi-structured data sources. But the fundamental architecture of using queues, caches, and batches to support Enterprise Data Warehousing and BI hasn't. This article looks at the architectural styles of the three eras of data management - pre-big data, the open-source revolution, and the cloud-native version. It will be a dive into trade-offs of each and what lies ahead. You'll get a techno-strategic best practices of architecting data platforms as they pave the path to recovery for your organization.]]> https://insideainews.com/2020/11/25/data-platforms-a-journey-the-yesteryears-today-and-what-lies-ahead/feed/ 0 25304 https://insideainews.com/2020/10/15/how-automation-helps-you-exploit-the-value-in-big-data/ https://insideainews.com/2020/10/15/how-automation-helps-you-exploit-the-value-in-big-data/#respond Thu, 15 Oct 2020 13:00:00 +0000 https://insidebigdata.com/?p=25102 In this sponsored post, Simon Shah spearheads marketing at Redwood Software to support continued market growth and innovation for their cloud-based IT and business process automation solutions. He believes that by using automation to collect and manage your big data processes, you will truly exploit its value for the business.]]> https://insideainews.com/2020/10/15/how-automation-helps-you-exploit-the-value-in-big-data/feed/ 0 25102 https://insideainews.com/2020/05/29/matillion-launches-matillion-etl-for-azure-synapse-empowering-users-with-data-transformation-capabilities-for-rapid-access-to-insights/ https://insideainews.com/2020/05/29/matillion-launches-matillion-etl-for-azure-synapse-empowering-users-with-data-transformation-capabilities-for-rapid-access-to-insights/#respond Fri, 29 May 2020 13:00:00 +0000 https://insidebigdata.com/?p=24471 Matillion, a leading provider of data transformation software for cloud data warehouses (CDWs), announced the availability of Matillion ETL for Azure Synapse to enable data transformations in complex IT environments, at scale. Empowering enterprises to achieve faster time to insights by loading, transforming, and joining together data, the release extends Matillion’s product portfolio to further serve Microsoft Azure customers.]]> https://insideainews.com/2020/05/29/matillion-launches-matillion-etl-for-azure-synapse-empowering-users-with-data-transformation-capabilities-for-rapid-access-to-insights/feed/ 0 24471 https://insideainews.com/2019/11/06/do-you-actually-need-a-data-lake/ https://insideainews.com/2019/11/06/do-you-actually-need-a-data-lake/#respond Wed, 06 Nov 2019 16:00:20 +0000 https://insidebigdata.com/?p=23524 In this contributed article, Eran Levy, Director of Marketing at Upsolver, sets out to formally define "data lake" and then goes on to ask whether your organization needs a data lake by examining 5 key indicators. Data lakes have become the cornerstone of many big data initiatives, just as they offer easier and more flexible options to scale when working with high volumes of data that’s being generated at a high velocity - such as web, sensor or app activity data. ]]> https://insideainews.com/2019/11/06/do-you-actually-need-a-data-lake/feed/ 0 23524 https://insideainews.com/2019/04/25/the-cloud-helped-expand-etl-into-automated-data-infrastructure/ https://insideainews.com/2019/04/25/the-cloud-helped-expand-etl-into-automated-data-infrastructure/#respond Thu, 25 Apr 2019 15:30:55 +0000 https://insidebigdata.com/?p=22515 In this contributed article, Ben Bloch, CEO of Bloch Strategy, defines Extraction, Transformation and Load (ETL) as the process of taking data from one system, changing it in a way that allows it to be integrated with other data in a new system. Since it’s automated you can work with scale in more agile ways. It became a well known acronym in business software during the 1990s, due to the focus on data warehouses. Many people in the industry have tied ETL too closely to on-premise data warehousing, and consider that it has no place in the Cloud world, but that is an incorrect assumption. ETL is even more important today. ]]> https://insideainews.com/2019/04/25/the-cloud-helped-expand-etl-into-automated-data-infrastructure/feed/ 0 22515