Analytics Vidhya

NOVEMBER 2, 2020

Overview Learn about viewing data as streams of immutable events in contrast to mutable containers Understand how Apache Kafka captures real-time data through event. The post Apache Kafka: A Metaphorical Introduction to Event Streaming for Data Scientists and Data Engineers appeared first on Analytics Vidhya.

Analytics 287

Analytics 287

David Menninger's Analyst Perspectives

SEPTEMBER 9, 2021

Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to further expand its business.

Modeling 218

Modeling Management IT Business Intelligence 218

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 83

Data Warehouse Analytics Metadata Dashboards 83

AWS Big Data

DECEMBER 13, 2023

Data loses value over time. Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. Batch load can run once or several times a day.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

Analytics Vidhya

DECEMBER 11, 2019

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

Machine Learning 312

Machine Learning Modeling Analytics Data Science 312

David Menninger's Analyst Perspectives

OCTOBER 25, 2023

In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data.

Analytics 227

Analytics IoT Dashboards Data-driven 227

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. version cluster. version cluster.

Data Warehouse 122

Data Warehouse Dashboards Risk Management Risk 122

Analytics Vidhya

MAY 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article is in continuation with Part 1 where we discussed Data. The post Image Classification with Tensorflow: Data Augmentation on Streaming Data (Part 2) appeared first on Analytics Vidhya.

Data Science 172

Data Science Publishing Analytics Deep Learning 172

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In today’s technology-driven world, every second a vast amount of data. The post Real-time Data Streaming using Apache Spark! appeared first on Analytics Vidhya.

Data-driven 161

Data-driven Data Science Publishing Technology 161

Analytics Vidhya

NOVEMBER 18, 2020

Overview Understand Spark Streaming and its functioning. Learn about Windows in Spark Streaming with an example. The post A Beginner’s Guide to Spark Streaming For Data Engineers appeared first on Analytics Vidhya. Introduction According to IBM, 60% of all sensory.

Analytics 151

Analytics IT 151

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

Data Science 266

Data Science Analytics IT Unstructured Data 266

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.

Analytics 269

Analytics IT Big Data 269

Smart Data Collective

SEPTEMBER 15, 2021

In a rapidly digitizing world, data is a crucial thing to both individuals and organizations. One of the recent developments in digital technology is streaming data in real-time. Data streaming is all about processing and analyzing data that keeps on flowing from a particular source to a destination in almost real-time.

IoT 107

IoT Business Objectives Software Manufacturing 107

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

AWS Big Data

MAY 17, 2023

Customers are adopting Amazon Managed Service for Apache Kafka (Amazon MSK) as a fast and reliable streaming platform to build their enterprise data hub. In addition to streaming capabilities, setting up Amazon MSK enables organizations to use a pub/sub model for data distribution with loosely coupled and independent components.

Management 89

Management Data-driven Publishing Data Processing 89

AWS Big Data

SEPTEMBER 13, 2023

Streaming data has become an indispensable resource for organizations worldwide because it offers real-time insights that are crucial for data analytics. The escalating velocity and magnitude of collected data has created a demand for real-time analytics.

Management 90

Management Data Processing Interactive Metadata 90

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. How industries can benefit from streaming data.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 80

Data Lake Visualization Dashboards Insurance 80

David Menninger's Analyst Perspectives

MARCH 31, 2022

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Data is created constantly and increasingly is being collected simultaneously.

Internet of Things 144

Internet of Things Dashboards Analytics IoT 144

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 160

Analytics Data Warehouse Business Intelligence Software 160

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

Analytics Vidhya

MARCH 10, 2023

Introduction Apache Kafka is a framework for dealing with many real-time data streams in a way that is spread out. It was made on LinkedIn and shared with the public in 2011.

Management 284

Management Analytics IT 284

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. With a unified BI system, organizations can have a comprehensive view of all organizational data to better manage processes and identify opportunities.

Analytics 279

Analytics Business Intelligence Marketing Management 279

Analytics Vidhya

AUGUST 16, 2020

Introduction We are aware of the massive amounts of data being produced each day. This humungous data has lots of insights and hidden trends. The post Analysing Streaming Tweets with Python and PostgreSQL appeared first on Analytics Vidhya.

Analytics 399

Analytics Unstructured Data 399

AWS Big Data

FEBRUARY 23, 2023

For high availability purposes, there is a need to make the data used by the workload available not just in the primary Region, but also in the secondary Region with minimal replication lag. The solution also supports streaming data from multiple sources to different Kinesis data streams.

Technology 52

Technology Metrics Publishing Strategy 52

AWS Big Data

MARCH 13, 2024

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. Additionally, you can use AWS Lambda to enrich incoming location data with data from other sources, such as an Amazon DynamoDB table containing vehicle maintenance details.

Analytics 94

Analytics IoT Metadata Internet of Things 94

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

AWS Big Data

MAY 1, 2023

Real-time anomaly detection describes a use case to detect and flag unexpected behavior in streaming data as it occurs. In typical setups, we want to be able to run the RCF algorithm on input data with large throughput, and streaming data processing frameworks can help with that.

Data Analytics 71

Data Analytics Analytics Software Machine Learning 71

CIO Business Intelligence

AUGUST 25, 2023

That’s when P&G decided to put data to work to improve its diaper-making business. Diapers are made of fluff pulp, plastics, absorbent granules, and elastics, and different processes — such as streaming hot glue and heat binding — are used during various aspects of the highly-mechanized manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction We, as a learner, are in the stage of analyzing the data mostly in the CSV format. Still, we need to understand that at the enterprise level, most of the work is done in real-time, where we need skills to stream live data. […].

Data Science 214

Data Science Publishing Enterprise Analytics 214

Smart Data Collective

JUNE 7, 2019

With today’s technology, there’s an increasing demand for stream processing. Data, for instance, has to be processed fast so that the companies can keep up to the changing business and market conditions in real time. Read this article as we’ll tackle what big data and stream processing are. What is Big Data?

Big Data 80

Big Data Marketing Cost-Benefit Unstructured Data 80

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage.

Data Science 361

Data Science Publishing Analytics IT 361

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement. Example Corp.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Amazon Kinesis is one of the best-managed services that scale particularly flexibly, especially for processing real-time data at a massive site. The post AWS Kinesis: Benefits & Use cases appeared first on Analytics Vidhya.

Data Science 355

Data Science Publishing Management Analytics 355