Data Science Connect

JULY 28, 2023

Cloud-Based IoT Platforms Cloud-based IoT platforms offer scalable storage and computing resources for handling the massive influx of IoT data. These platforms provide data engineers with the flexibility to develop and deploy IoT applications efficiently.

Internet of Things 130

Internet of Things Data Engineering Data Engineering Data Engineer 130

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). Data storage databases. Well, let’s find out. Artificial intelligence (AI).

AWS 138

AWS Cloud Computing Data Lakes Database 138

Smart Data Collective

AUGUST 17, 2022

A hybrid cloud system is a cloud deployment model combining different cloud types, using both an on-premise hardware solution and a public cloud. Amazon’s AWS Glue is one such tool that allows you to consume data from Apache Kafka and Amazon-managed streaming for Apache Kafka (MSK).

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

Dataversity

JANUARY 25, 2023

Over the past few years, enterprise data architectures have evolved significantly to accommodate the changing data requirements of modern businesses. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 52

Data Warehouse Data Lakes Cloud Computing Data Pipeline 52

IBM Journey to AI blog

APRIL 24, 2023

Managing, storing, and processing data is critical to business efficiency and success. Modern data warehousing technology can handle all data forms. Significant developments in big data, cloud computing, and advanced analytics created the demand for the modern data warehouse.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

Data Science Blog

MARCH 14, 2023

Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green). Quelle: [link] Small Data wurde zum Fokus für die deutsche Industrie, denn “Big Data is messy!” Alle zuvor genannten Hypes sind selbst Erben des Hypes um Big Data.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

IBM Journey to AI blog

MAY 19, 2023

With the rise of cloud computing, web-based ERP providers increasingly offer Software as a Service (SaaS) solutions, which have become a popular option for businesses of all sizes. The rapid growth of global web-based ERP solution providers The global cloud ERP market is expected to grow at a CAGR of 15%, from USD 64.7

Big Data Analytics 93

Big Data Analytics Big Data Analytics Data Lakes Cloud Computing 93

Alation

DECEMBER 14, 2021

Compliance in the Cloud ( GDPR, CCPA ) is still in in its infancy and tough to navigate, with people wondering: How do you manage policies in the cloud? How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

Towards AI

MARCH 3, 2025

for powerful computing.AWS Lambda for serverless AI functions.Amazon Rekognition, Polly, and Lex for pre-built AI services.Scalability: Handle anything from small projects to enterprise-level AI.Rich ecosystem: Integrates seamlessly with data lakes, analytics, and security tools.Pay-as-you-go pricing (but watch out for hidden costs!).Complex

Data Lakes 57

Data Lakes AI AI AWS 57

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

Precisely

JANUARY 19, 2023

Yet mainframes weren’t designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

AWS Machine Learning Blog

MAY 30, 2024

The Streamlit app is hosted on an Amazon Elastic Cloud Compute (Amazon EC2) fronted with Elastic Load Balancing (ELB), allowing Vitech to scale as traffic increases. In his current role, Murthy leads R&D initiatives to develop innovative data lake and warehousing solutions.

AI 128

AI AI AWS Database 128

Precisely

JANUARY 18, 2024

Yet mainframes weren’t initially designed to integrate easily with modern distributed computing platforms. Cloud computing, object-oriented programming, open source software, and microservices came about long after mainframes had established themselves as a mature and highly dependable platform for business applications.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Despite the rise of big data technologies and cloud computing, the principles of dimensional modeling remain relevant.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

IBM Journey to AI blog

DECEMBER 7, 2023

Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex. Skills and expertise : Transitioning to cloud-based OLAP may require specialized skills and expertise in cloud computing and OLAP technologies.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Pickl AI

OCTOBER 6, 2024

ELT, which stands for Extract, Load, Transform, is a data integration process that shifts the sequence of operations seen in ETL. In ELT, data is extracted from its source and then loaded into a storage system, such as a data lake or data warehouse , before being transformed. Conversely, ELT flips this sequence.

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

Pickl AI

SEPTEMBER 17, 2024

Technologies like stream processing enable organisations to analyse incoming data instantaneously. Scalability As organisations grow and generate more data, their systems must be scalable to accommodate increasing volumes without compromising performance.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

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

IBM Journey to AI blog

JUNE 11, 2024

Generative AI-powered discovery as a service : Helps extracting key data elements from client data repositories and fast-track the application discovery process.

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AWS AI AI Data Lakes 85

Dataconomy

FEBRUARY 23, 2023

Data engineers are responsible for designing and building the systems that make it possible to store, process, and analyze large amounts of data. These systems include data pipelines, data warehouses, and data lakes, among others. However, building and maintaining these systems is not an easy task.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

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 Engineering Data Engineer 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 Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

NOVEMBER 18, 2024

Dimensional Data Modeling in the Modern Era Dustin Dorsey |Principal Data Architect |Onix With the emergence of big data, cloud computing, and AI-driven analytics, many wonder if the traditional principles of dimensional modeling still hold value.

Deep Learning 40

Deep Learning Deep Learning Database Data Science 40

The MLOps Blog

JUNE 27, 2023

LakeFS LakeFS is an open-source platform that provides data lake versioning and management capabilities. It sits between the data lake and cloud object storage, allowing you to version and control changes to data lakes at scale. Severless GPUs are machines that scale-to-zero in the absence of traffic.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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.

Data Governance 59

Data Governance ML ML Cloud Data 59

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Therefore, you’ll be empowered to truncate and reprocess data if bugs are detected and provide an excellent raw data source for data scientists.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

IBM Journey to AI blog

JULY 7, 2023

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle.

Data Governance 40

Data Governance Data Lakes Database Cloud Computing 40

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

AWS Machine Learning Blog

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

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AWS ML ML AI 138

AWS Machine Learning Blog

SEPTEMBER 12, 2024

Prior to his current role, Baskar spent nearly six years at Google, where he contributed to advancements in cloud computing infrastructure. in Computer Science from Purdue University and has since spent over two decades at the forefront of the tech industry. Baskar earned a Ph.D.

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AWS AI AI Clustering 94

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

Flipboard

FEBRUARY 19, 2025

AWS GovCloud (US) foundation At the core of Alfreds architecture is AWS GovCloud (US), a specialized cloud environment designed to handle sensitive data and meet the strict compliance requirements of government agencies. The following diagram shows the architecture for Alfreds RAG implementation.

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AWS Cloud Computing Natural Language Processing Data Lakes 77