Ontotext

APRIL 15, 2020

Knowledge graphs are collections of live, richly interconnected, machine-processable knowledge that use formal semantics and automated reasoning to enable deep analytics. Ontotext’s policy is to donate licences for the GraphDB Enterprise Edition to such projects as well as support and maintenance services. To Sum It Up.

Publishing 105

Publishing Metadata Data mining Technology 105

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […].

Data Warehouse 344

Data Warehouse Data Science Publishing Enterprise 344

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Enterprises have slowly started adopting Lakehouses for their data ecosystems as they offer cost efficiencies of data lakes and the performance of warehouses. […].

Data Lake 333

Data Lake Data Science Publishing Enterprise 333

Analytics Vidhya

AUGUST 19, 2022

This article was published as a part of the Data Science Blogathon. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya. It provides organizations with […].

Metadata 325

Metadata Big Data Data Science Publishing 325

Analytics Vidhya

JULY 23, 2022

This article was published as a part of the Data Science Blogathon. Cloud Adoption for Data and Analytics According to a Gartner report, by 2024, 70% of enterprises will use cloud and cloud-based AI infrastructure to operationalize AI, thereby significantly shifting the data gravity to the cloud.

Software 291

Software Data Science Publishing Reporting 291

Smart Data Collective

OCTOBER 26, 2023

There are a growing number of platforms that help companies use analytics to offer better technical support. This is one of the reasons that companies are projected to spend over $680 billion on analytics by 2030. The Enterprise plan, while more expensive, comes with additional features compared to Zendesk’s Enterprise plan.

Management 103

Management Analytics Reporting Enterprise 103

Analytics Vidhya

AUGUST 6, 2022

This article was published as a part of the Data Science Blogathon. Introduction QlikView is a popular enterprise discovery platform that enables all users in an organization to perform self-service BI. The post QlikView for Data Engineers Explained with Architecture appeared first on Analytics Vidhya.

Visualization 312

Visualization Data Science Publishing Enterprise 312

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. By 2025, 83% of enterprise workloads will be in the cloud. The post Different Types of Cloud-based Services appeared first on Analytics Vidhya. Introduction Cloud computing is one of the fastest-growing IT technologies today. The cloud encompasses a […].

Data Science 311

Data Science Publishing Reporting Enterprise 311

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.

Data Science 297

Data Science Publishing Enterprise Analytics 297

Ontotext

FEBRUARY 1, 2024

With RDF-Star we can add a date to the relationship between the person and the book, and state that ‘Stephen King’ published The Shining in 1977. Knowledge graphs The final step in model complexity covered in my talk is the advent of enterprise knowledge graphs, and, more specifically, what Synaptica calls content-aware knowledge graphs.

Enterprise 59

Enterprise Management Metadata Modeling 59

Boris Evelson

JUNE 17, 2020

Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades. Forrester tracks over a hundred vendors whose platforms are […].

Publishing 40

Publishing Analytics Machine Learning Predictive Analytics 40

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. The post Google BigQuery Architecture for Data Engineers appeared first on Analytics Vidhya.

Data Warehouse 262

Data Warehouse Data Science Publishing Enterprise 262

Analytics Vidhya

SEPTEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya. The post How do AWS S3 Buckets and Security Work?

Machine Learning 226

Machine Learning Data Science Publishing Enterprise 226

Analytics Vidhya

SEPTEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. The post Apache Sqoop: Features, Architecture and Operations appeared first on Analytics Vidhya. It is a data migration tool […].

Data Warehouse 230

Data Warehouse Structured Data Data Science Publishing 230

Analytics Vidhya

JUNE 28, 2022

This article was published as a part of the Data Science Blogathon. “Preponderance data opens doorways to complex and Avant analytics.” Enterprises are focused on data stockpiling because more data leads to meticulous and calculated decision-making and opens more doors for business […].

Data Science 210

Data Science Publishing Enterprise Analytics 210

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. 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. […]. The post Introduction to Spark Streaming appeared first on Analytics Vidhya.

Data Science 187

Data Science Publishing Enterprise Analytics 187

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. And enterprise reporting is a more specific category within BI.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

Andrew White

MARCH 31, 2023

Gartner’s Market Guide for Data and Analytics Governance Here is a brief update on our plans for coverage for Data and Analytics Governance market, from Guido de Simoni , Saul Judah and myself. In December 2021 we published a Market Guide ( G00746754 ) and a Vendor Identification Tool ( G00759097 ) covering this new market.

Marketing 52

Marketing Analytics Publishing Data Strategy 52

Smarten

JULY 27, 2023

Select Augmented Analytics with Dashboards and Reports Your Users Can Customize! If you are planning to roll out augmented analytics to your business users, you will have to adjust your approach to accommodate the unique nature of each user. When it comes to business tools and processes, one size fits all is never the solution.

Dashboards 52

Dashboards Reporting Analytics Software 52

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.

B2B 435

B2B Deep Learning Digital Transformation Data Processing 435

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. Introduction. You’ve got a new boss. And she is numbers driven – great! Forty-five metrics!

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! How can you build knowledge graphs for enterprise applications? Enterprises generate an enormous amount of data and content every minute.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

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. What is Data Analytics? Photo by Chris Ried on Unsplash. What is Business Intelligence? Conclusion.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smarten

JANUARY 17, 2019

As simplified search analytics expands into all corners of the enterprise, the business can expect business users to embrace advanced analytics and, in so doing, to become more of an asset to the organization. By 2020, 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Alation

FEBRUARY 13, 2020

I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog. We find, for example, there were people doing analytics on live data and other people in the group doing analytics on weather data, and other people doing analytics on claims data.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Rocket-Powered Data Science

SEPTEMBER 25, 2022

I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. examples, with constant reminders that’s it all about the data plus analytics!

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). The ingestion approach is not in scope of this post. Choose Run.

Analytics 99

Analytics IoT Metadata Internet of Things 99

Boris Evelson

JULY 29, 2019

Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves ™. As the BI market and the technology continue to evolve, so does our research.

Enterprise 83

Enterprise Business Intelligence Publishing Marketing 83

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

AWS Big Data

OCTOBER 30, 2023

This framework is ideal for batch analytics workloads from Amazon Simple Storage Service (Amazon S3) and event-based streaming from Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Kinesis. The extensible script and architecture make SoAL a scalable framework for analytics workloads for enterprises.

Cost-Benefit 124

Cost-Benefit Enterprise Data Processing Optimization 124

Andrew White

FEBRUARY 8, 2022

Every year your data and analytics content leader team publishes their Key Initiative Primers. From the Executive Leader level (CxO): Executive Leadership: Data and Analytics Primer for 2022. For the Chief Data Officer (and equivalents) and data and analytics leader and team: Data and Analytics Leaders Primer for 2022.

Analytics 52

Analytics Data-driven Data Science Publishing 52

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive. DataOps Dojo . DataOps Transformation.

Metrics 243

Metrics Experimentation Measurement Testing 243

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. The post Insights from Gartner Data & Analytics Summit Orlando 2023 appeared first on Alation. It’s the place where dreams come true.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

bridgei2i

AUGUST 5, 2021

13:07] We see that a lot of enterprises have bought technology solutions for addressing different parts of the customer journey experience, which they’ve added over the years. Transcript SERIES: AI for the Digital Enterprise Transcript. “So SERIES: AI for the Digital Enterprise. Subscribe Now. My name is Paromita Mitra.

Enterprise 98

Enterprise Slice and Dice Consulting Digital Transformation 98

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98