Analytics Vidhya

MARCH 27, 2024

Introduction Starting with the fundamentals: What is a data stream, also referred to as an event stream or streaming data? At its heart, a data stream is a conceptual framework representing a dataset that is perpetually open-ended and expanding. Its unbounded nature comes from the constant influx of new data over time.

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Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

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Smart Data Collective

APRIL 29, 2020

Big data is changing the nature of IT support. The impact of big data on this field is two-fold: Companies are using big data to provide better IT support Big data technology has created a number of new challenges that need to be addressed. Cloud support. Managed monitoring support.

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Data Science Blog

JUNE 21, 2023

Process Mining demands Big Data in 99% of the cases, releasing bad developed extraction jobs will end in big cost chunks down the value stream. When accepting the investment character of big data extractions, the investment should be done properly in the beginning and therefore cost beneficial in the long term.

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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

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. Cloud Computing and Related Mechanics.

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Smart Data Collective

JUNE 4, 2021

In data science, use linear algebra for understanding the statistical graphs. Probability is the measurement of the likelihood of events. Probability distributions are collections of all events and their probabilities. Knowledge of probability distributions is needed for understanding and predicting data. Probability.

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Women in Big Data

MAY 19, 2024

NW chapter recently hosted a session as part of the “She Speaks Data” series, organized by the Women in Big Data (WIBD) Northwest Chapter. The event featured Poornima Muthukumar, Senior Product Manager at Microsoft, who shared her expertise on leveraging data science to drive product growth and innovation.

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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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Data Science 101

JULY 31, 2019

A new online conference focused on cloud data technologies is coming this fall. The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization.

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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.,

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Smart Data Collective

AUGUST 31, 2023

There has been considerable growth in the number of firms adopting cloud technologies and employing remote workforces in recent years. Simply keeping data on the cloud does not ensure your company’s safety in the event of a crisis. This transition has brought forth new cybersecurity issues.

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IBM Journey to AI blog

NOVEMBER 13, 2023

Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

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ODSC - Open Data Science

OCTOBER 17, 2023

Her interests lie in software testing, cloud computing, big data analytics, systems engineering, and architecture. Tuli holds a PhD in computer science with a focus on building processes to set up robust and fault-tolerant performance engineering systems. Interested in attending an ODSC event?

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IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. Despite its name, a serverless framework doesn’t mean computing without servers.

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ODSC - Open Data Science

FEBRUARY 8, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Interested in attending an ODSC event?

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Smart Data Collective

DECEMBER 20, 2019

Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning. Reports are especially useful to have during inspections , insurance and liability events, and much more.

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ODSC - Open Data Science

OCTOBER 22, 2024

ODSC West 2024 this October 29th-31st in San Francisco is set to be a landmark event in the world of artificial intelligence and data science. Here’s a glimpse of the companies and innovators you won’t want to miss at this exciting event. Databricks: Providing a unified analytics platform for big data and machine learning.

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IBM Journey to AI blog

JULY 24, 2023

An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs. It aims to understand what’s happening within a system by studying external data.

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Pickl AI

FEBRUARY 10, 2025

Covering essential topics such as EC2, S3, security, and cost optimization, this guide is designed to equip candidates with the knowledge needed to excel in AWS-related interviews and advance their careers in cloud computing. Common use cases include: Backup and restore Data archiving Big Data Analytics Static website hosting 5.

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ODSC - Open Data Science

MAY 5, 2023

Data science and data engineering are incredibly resource intensive. 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.

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AWS Machine Learning Blog

AUGUST 8, 2023

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. For the SageMaker Processing job, you can configure the Spark event log location directly from the SageMaker Python SDK.

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Smart Data Collective

SEPTEMBER 13, 2022

The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices. Use the Right SaaS Software for Your Data-Driven Company.

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ODSC - Open Data Science

FEBRUARY 6, 2024

You’ll see how it uses Retrieval Augmented Generation (RAG) to answer questions based on external data, as well as other tools for performing more specialized tasks to enrich the output of your LLM. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event?

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Dataconomy

MAY 2, 2023

These experts are responsible for designing and implementing machine learning algorithms and predictive models that can facilitate the efficient organization of data. The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline.

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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.

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Smart Data Collective

FEBRUARY 10, 2022

We have talked about the benefits big data has brought to VPN technology. The good news is that newer VPNs are designed with cloud services in mind. Joking aside, live TV sports viewers are in the billions, especially where some of the top events like; Football/Soccer, the Olympics, contact sports and basketball are concerned.

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Precisely

MARCH 10, 2023

By zeroing in on location, you can better understand relationships between people, structures, and events in the physical world. Think back to the early 2000s, a time of big data warehouses with rigid structures. There was a massive expansion of efforts to design and deploy big data technologies.

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DataSeries

MARCH 1, 2023

ChatGPT is an AI-driven natural language processing (NLP) model that uses big data and generative pre-training (GPT) to learn how to generate natural language responses to user input. Event Management Chatbot: ChatGPT can be used to create an event management chatbot that can help event organizers manage their events.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. The Lambda function can be called from an application or Amazon API Gateway.

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IBM Journey to AI blog

JANUARY 29, 2024

Your business needs to be prepared to handle such an event. Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload.

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ODSC - Open Data Science

MAY 25, 2023

We’ll be setting up at Hyatt Regency San Francisco Airport from October 31st to November 3rd for 4 days of hands-on training sessions, workshops, talks, and networking events. Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems.

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AWS Machine Learning Blog

OCTOBER 14, 2024

. # Invoke the agent API response = bedrock_agent_runtime_client.invoke_agent( … sessionState={ 'sessionAttributes': { 'authorization_header': ' ' } }, ) The header is then retrieved from the Lambda event in the Action Group Lambda function and Verified Permissions is used to verify the user’s access against the desired action.

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Pickl AI

SEPTEMBER 5, 2024

By leveraging Azure’s capabilities, you can gain the skills and experience needed to excel in this dynamic field and contribute to cutting-edge data solutions. Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. What is Azure?

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Heartbeat

OCTOBER 25, 2023

e) Big Data Analytics: The exponential growth of biological data presents challenges in storing, processing, and analyzing large-scale datasets. Traditional computational infrastructure may not be sufficient to handle the vast amounts of data generated by high-throughput technologies.

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Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. million by 2028.

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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.

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