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Establishing Connections and Putting an End to Data Silos

Dataversity

They must connect not only systems, data, and applications to each other, but also to their […]. The post Establishing Connections and Putting an End to Data Silos appeared first on DATAVERSITY.

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Improving Data Pipelines with DataOps

Dataversity

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

DataOps 59
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Exploring the fundamentals of online transaction processing databases

Dataconomy

But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness. An OLAP database may also be organized as a data warehouse.

Database 159
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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

This article endeavors to alleviate those confusions. While traditional data warehouses made use of an Extract-Transform-Load (ETL) process to ingest data, data lakes instead rely on an Extract-Load-Transform (ELT) process. This adds an additional ETL step, making the data even more stale.

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How to Build ETL Data Pipeline in ML

The MLOps Blog

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks.

ETL 59
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Data Mesh: The Sky Is Not Falling

Alation

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

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8 Data Lake Vendors to Make Your Data Life Easier in 2023

ODSC - Open Data Science

Data has to be stored somewhere. Data warehouses are repositories for your cleaned, processed data, but what about all that unstructured data your organization is starting to notice? What is a data lake? Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.