Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. In this blog post, we will be discussing 7 tips that will help you become a successful data engineer and take your career to the next level.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Pickl AI

JANUARY 31, 2025

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

Cloud Computing 52

Cloud Computing Azure Artificial Intelligence Artificial Intelligence 52

Pickl AI

JANUARY 31, 2025

Summary:- There four primary deployment model in cloud computing are Public Cloud , Private Cloud , Community Cloud , and Hybrid Cloud. Introduction Cloud computing has revolutionized the way organizations manage and utilize their IT resources.

Cloud Computing 52

Cloud Computing Azure AWS Machine Learning 52

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Azure Data Engineering Data Engineering Data Engineer 52

Pickl AI

MARCH 1, 2023

What is Cloud Computing? Cloud computing is a way to use the internet to access different types of technology services. These services include things like virtual machines, storage, databases, networks, and tools for artificial intelligence and the Internet of Things.

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Cloud Computing Internet of Things Database Artificial Intelligence 52

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

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Database Administration Database Azure Cloud Computing 113

Smart Data Collective

OCTOBER 16, 2022

It’s an excellent idea if you have decided to move your business operations to the cloud. Cloud computing solutions can help your business reduce operational costs, gain unlimited scalability and improve external and internal collaboration. There are many great reasons that the cloud computing market is growing.

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Cloud Computing Azure Cloud Data Database 132

Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Click to enlarge!

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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Azure Data Scientist Data Science Machine Learning 52

Pickl AI

JULY 11, 2024

Summary: Platform as a Service (PaaS) offers a cloud development environment with tools, frameworks, and resources to streamline application creation. Introduction The cloud computing landscape has revolutionized the way businesses approach IT infrastructure and application development.

Cloud Computing 52

Cloud Computing AWS Azure Database 52

IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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Cloud Computing Big Data Big Data Internet of Things 119

Smart Data Collective

NOVEMBER 8, 2020

Unlike the old days where data was readily stored and available from a single database and data scientists only needed to learn a few programming languages, data has grown with technology. Understand the Databases. As a data engineer, you will be primarily working on databases. Learn Cloud Computing.

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Data Engineering Data Engineering Data Engineering Data Engineer 104

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. Opportunities for innovation CreditAI by Octus version 1.x

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IBM Journey to AI blog

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Public cloud infrastructure is a type of cloud computing where a third-party cloud service provider (e.g.,

Cloud Computing 117

Cloud Computing Machine Learning Machine Learning Big Data Analytics 117

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

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ODSC - Open Data Science

MAY 5, 2023

Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware.

Data Science 52

Data Science Data Engineering Data Engineering Data Engineer 52

Pickl AI

OCTOBER 3, 2024

This guide on becoming a Cloud Architect outlines the steps to help you acquire the expertise and qualifications needed to excel in this dynamic, high-demand field. Click on the link to learn the difference between Edge Computing and Cloud Computing. Who is a Cloud Architect?

Cloud Computing 52

Cloud Computing Azure AWS Computer Science 52

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

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Power BI Analytics Analytics Azure 84

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc. Why do we need databases?

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Data Science Machine Learning Machine Learning Database 75

Pickl AI

JULY 30, 2024

Some of the key tools used for sequence analysis include: BLAST (Basic Local Alignment Search Tool) BLAST compares a query sequence with a database of known sequences to identify similar regions. Cloud Computing Cloud computing involves using remote servers to store and process large datasets.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. Neo4j Neo4j is a graph database company that provides a platform for storing and analyzing relationships between data.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Pickl AI

NOVEMBER 4, 2024

They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Data Modelling Data modelling is creating a visual representation of a system or database. Physical Models: These models specify how data will be physically stored in databases.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

MAY 25, 2023

Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems. Dr. Jim Webber Chief Scientist, Neo4j Dr. Webber leads the Systems Research Group, working on a variety of database research topics with a focus on fault tolerance.

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Data Science Machine Learning Machine Learning Database 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. Dolt Dolt is an open-source relational database system built on Git. Severless GPUs are machines that scale-to-zero in the absence of traffic.

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Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. It lacks many of the important qualities of a traditional database such as ACID compliance. They are malleable.

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Data Warehouse Data Lakes Hadoop Big Data 59

Pickl AI

JULY 12, 2023

There are several service providers in his domain, like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The next segment highlights the key benefits of cloud migration and its key features. 7 Steps of Cloud Migration A successful cloud migration follows a well-defined process.

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Azure Database Cloud Computing AWS 52

IBM Journey to AI blog

AUGUST 12, 2024

Also, with spending on cloud services expected to double in the next four years , both serverless and microservices instances should grow rapidly since they are widely used in cloud computing environments. Microservices applications often have their own stack that includes a database and database management model.

Cloud Computing 45

Cloud Computing Database Artificial Intelligence Artificial Intelligence 45

Analytics Vidhya

FEBRUARY 25, 2023

Data lakes provide a way to store and process large amounts of raw data in its original format, […] The post Setting up Data Lake on GCP using Cloud Storage and BigQuery appeared first on Analytics Vidhya. Introduction A data lake is a centralized and scalable repository storing structured and unstructured data.

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Data Lakes Analytics Analytics Data Warehouse 178

Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation.

Database 52

Database Analytics Analytics Business Intelligence 52

Mlearning.ai

FEBRUARY 16, 2023

The solution was built on top of Amazon Web Services and is now available on Google Cloud and Microsoft Azure. Therefore, the tool is referred to as cloud-agnostic. Snowflake Database Pros Extensive Storage Opportunities Snowflake provides affordability, scalability, and a user-friendly interface. What does Snowflake do?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Familiarity with SQL for database management. Strong understanding of database management systems (e.g., AI Solutions Architect AI Solutions Architects design and implement AI solutions tailored to meet specific business needs.

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AI AI Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. databases, CSV files). Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

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Machine Learning Machine Learning ML ML 52

Precisely

JANUARY 2, 2024

Today IBM i systems coexist with network servers, laptops, desktop workstations, mobile devices, and cloud computing environments. It requires multifactor authentication (MFA) using platforms like Okta, RSA, Azure, or Duo. The world has changed.

Cloud Computing 59

Cloud Computing Azure Database 59

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. Cloud governance.

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Data Governance ML ML Cloud Data 59

ODSC - Open Data Science

JULY 11, 2023

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. Not a cloud computer? Alternatives to using a data center: 1.

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Data Lakes AI AI Cloud Computing 40

phData

JULY 25, 2023

An online business involves the use of cloud computing and storage platforms. Cloud Storage Platforms There are multiple cloud storage platforms available for your business. You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

JULY 25, 2023

An online business involves the use of cloud computing and storage platforms. Cloud Storage Platforms There are multiple cloud storage platforms available for your business. You can choose from Amazon Web Services (AWS), Microsoft Azure, GCP, Oracle Cloud, etcetera.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52