IBM Journey to AI blog

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JULY 11, 2023

Hybrid data centers: This refers to a combination of different data center solutions such as using a mix of on-premises, co-location, and cloud-based data centers to meet specific needs. Alternatives to using a data center: 1. They are typically used by organizations to store and manage their own data.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Dataconomy

FEBRUARY 23, 2023

Collecting, storing, and processing large datasets Data engineers are also responsible for collecting, storing, and processing large volumes of data. This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Pickl AI

APRIL 6, 2023

An example of the Azure Data Engineer Jobs in India can be evaluated as follows: 6-8 years of experience in the IT sector. Data Warehousing concepts and knowledge should be strong. Having experience using at least one end-to-end Azure data lake project. Knowledge in using Azure Data Factory Volume.

Azure 52

Azure Data Engineering Data Engineer Data Engineering 52

Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. The future lies in the cloud. Scheduling. Target Matching.

Data Governance 59

Data Governance ML ML Cloud Data 59

Pickl AI

SEPTEMBER 5, 2024

Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. It offers a wide range of cloud services, including: Compute Power: Scalable virtual machines and container services for running applications.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Precisely

OCTOBER 16, 2023

Consequently, managers now oversee IT costs for their operations and engage directly in cloud computing contracts. This shift has influenced how cloud resources are designed and marketed, focusing on easy access, modularity, and straightforward deployment.

Analytics 72

Analytics Analytics Big Data Analytics Big Data Analytics 72