AWS Big Data

DECEMBER 4, 2024

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. The relationship between analytics and AI is rapidly evolving.

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Data Analytics Analytics Data Lake Data Quality 100

Analytics Vidhya

JUNE 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Octoparse Hello, Data enthusiasts. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science.

Data Science 343

Data Science Publishing Data Analytics Analytics 343

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started.

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Visualization Data Science Publishing Data Analytics 361

Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do.

Data Science 343

Data Science Publishing Data Analytics Analytics 343

Corinium

SEPTEMBER 6, 2021

Acquiring this complimentary portfolio of events contributes to Corinium’s rapid growth strategy, adding to its portfolio of tech-focused in-person, digital and hybrid events for data, analytics and digital innovation-focused executives. It also hosts the Women in AI dinner and Women in AI podcast series.

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B2B Deep Learning Digital Transformation Data Processing 435

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc.,

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Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

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Analytics Vidhya

MAY 9, 2022

This article was published as a part of the Data Science Blogathon. Source – bounteous.com Introduction Time Series Analysis and Forecasting is a very pronounced and powerful study in data science, data analytics and Artificial Intelligence.

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Forecasting Data Science Publishing Data Analytics 306

Smart Data Collective

APRIL 5, 2022

Data analytics has led to a huge shift in the marketing profession. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

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Marketing Data Analytics Analytics Advertising 144

Smart Data Collective

MARCH 5, 2021

Data analytics has been a very important aspect of modern marketing strategies. A growing number of companies are using data analytics to reach customers through virtually every channel, including email. Email marketing is even more effective for companies that know how to use data analytics to get the most out of it.

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Smart Data Collective

AUGUST 4, 2020

Fortunately, new data analytics advances can help. Data analytics technology is transforming the future of online education. Countless experts have discussed the relevance of big data for online universities. However, new analytics technology will be just as critical for online training of various careers.

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Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction Aggregating is the process of getting some data together and it is considered an important concept in big data analytics. The post Introduction to Aggregation Functions in Apache Spark appeared first on Analytics Vidhya.

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Big Data Data Science Publishing Data Analytics 299

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Apart from resource management, […].

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Big Data Data Science Publishing Data Analytics 271

Smart Data Collective

FEBRUARY 14, 2023

Data analytics technology has played a huge role in the future of small businesses. One study from March 2020 showed that 67% of small businesses spend over $10,000 a year on data analytics. The furniture industry is among those relying more heavily on data analytics.

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Data Analytics Analytics Advertising Sales 143

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability along with AI & Machine Learning […].

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Analytics Machine Learning Data Science Publishing 397

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Big data should be leveraged to execute any GTM campaign. How Can Data Play an Important Role in GTM? Let’s begin.

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Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application.

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Management Data Science Publishing Analytics 390

Analytics Vidhya

APRIL 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data visualization is crucial in Data Analytics. With exploratory data analysis (EDA), we gain insights into the hidden trends and patterns in a dataset that are useful for decision-making. are […].

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Interactive Visualization Data Science Publishing 271

Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss some data science interview questions and their answers to help you fare well in job interviews. These are data science interview questions and are based on data science topics.

Data Science 364

Data Science Publishing Analytics Data mining 364

Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

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Analytics Vidhya

JUNE 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction The following is an in-depth article explaining what data warehousing is as well as its types, characteristics, benefits, and disadvantages. What is a data warehouse? A few of the topics which we will cover in the article are: 1.

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Data Warehouse Data Science Publishing Analytics 361

Smart Data Collective

JANUARY 18, 2021

You can use data analytics to get more value out of your YouTube marketing strategy, especially you understand SEO. Here’s how to use data-driven SEO in your YouTube marketing strategy and maximize your views. Keyword research is one of the most important uses of data analytics for YouTube marketing.

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Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: farmsio Introduction Water is essential for ensuring food security for the entire world’s […]. The post SWAMP: A High-precision Smart Irrigation System appeared first on Analytics Vidhya.

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Data Science Publishing Analytics IoT 342

AWS Big Data

FEBRUARY 13, 2025

Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment.

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Data Analytics Analytics Modeling Management 72

Analytics Vidhya

JANUARY 14, 2022

This article was published as a part of the Data Science Blogathon.

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Statistics Data Science Publishing Analytics 349

AWS Big Data

JANUARY 15, 2025

Plug-and-play integration : A seamless, plug-and-play integration between data producers and consumers should facilitate rapid use of new data sets and enable quick proof of concepts, such as in the data science teams. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog.

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IoT Machine Learning Metadata Data-driven 110

Smart Data Collective

SEPTEMBER 13, 2020

Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. Search Engine Watch has a great article on using data analytics for SEO. How Can Big Data Assist With LinkBuilding? Big data is critical for linkbuilding in 2020.

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Data Analytics Analytics Big Data Data mining 121

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Objective “True optimization is the revolutionary contribution of modern research to decision processes” – George Dantzig. This article discusses solving a resource allocation problem using linear programming in Python.

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Optimization Data Science Publishing Analytics 328

Smart Data Collective

SEPTEMBER 6, 2020

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? billion on big data by 2025.

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AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

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Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Regarding data analytics, getting insights from a data mart instead of a data warehouse or external data sources can save companies time and produce more targeted results. The idea of ??data

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Data Warehouse Data Science Publishing Data Analytics 208

AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams. The following diagram illustrates this workflow.

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Data Analytics Analytics IoT Publishing 110

Analytics Vidhya

MAY 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Spark is a data analytics engine that is mainly used for. The post 9 most useful functions for PySpark DataFrame appeared first on Analytics Vidhya.

Data Science 197

Data Science Publishing Data Analytics Analytics 197

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

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Metrics Data Analytics Analytics Measurement 130

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

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AWS Big Data

SEPTEMBER 9, 2024

An enriched data feed can combine data from multiple sources, including financial news feeds, to add information such as stock splits, corporate mergers, volume alerts, and moving average crossovers to a basic feed.

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DataKitchen

DECEMBER 9, 2024

The companys analysts, guided by DataKitchen engineers, worked with over a decade of claims data, which consisted of tens of billions of rows. DataKitchen loaded this data and implemented data tests to ensure integrity and data quality via statistical process control (SPC) from day one.

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