Analytics Vidhya

JUNE 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hope you all are doing Good !!! Welcome to my blog! The post Automated Spam E-mail Detection Model(Using common NLP tasks) appeared first on Analytics Vidhya.

Modeling 271

Modeling Data Science Publishing Analytics 271

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Readers!! In this blog, we are going to discuss. Analyze World Happiness Data Using Python appeared first on Analytics Vidhya. The post Are Indians Happy?

Data Science 182

Data Science Publishing Analytics Structured Data 182

AWS Big Data

DECEMBER 19, 2024

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. Create it as a JSON file on your workstation (for this post, we call it blog-sub-target.json ).

Publishing 95

Publishing Unstructured Data Metadata Data-driven 95

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Visualization 270

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

MAY 28, 2024

In Jupyter, choose semantic-search-with-amazon-opensearch , then blog , then the LLM-Based-Agent folder. Open the notebook Generative AI with LLM based autonomous agents augmented with structured and unstructured data.ipynb. This is unstructured data augmentation to the LLM.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Addressing the challenges of data.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

datapine

APRIL 28, 2023

It is considered a structured data type because it stores multiple values within a single identifier, which can be one-dimensional (arranged as a list) or multi-dimensional (arranged in tabular form). Try our professional online data analysis software for a 14-day free trial and benefit from smart analytics today!

Data-driven 200

Data-driven Reporting Visualization Interactive 200

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. . – into structured data to develop actionable managerial insights to enhance their operations. . .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. Features focus on media and entertainment firms.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Dataiku

FEBRUARY 16, 2024

Structured Query Language (SQL) has long been the standard for managing and querying relational databases, providing a powerful toolset for extracting insights from structured data.

Structured Data 93

Structured Data Modeling Management 93

Cloudera

MAY 14, 2024

‘True’ hybrid incorporates data stores that are capable of maintaining and harnessing data, no matter the format. With that, we’re seeing the importance of ‘true’ hybrid cloud as organizations begin to shift, favoring data architecture that’s highly flexible, scalable, and adaptable. appeared first on Cloudera Blog.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

Domino Data Lab

AUGUST 9, 2021

Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data. Based on the concept of neural networks, it’s useful for analyzing images, videos, text and other unstructured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Ontotext

OCTOBER 14, 2021

In this blog series, we will explore specific industries to highlight the impact of knowledge graphs on critical use cases. This article will examine the world of financial services and look at how knowledge graphs enable organizations to derive more value from the data they already possess. See figure 1.).

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Cloudera

JUNE 3, 2022

Data scientists are likely to use a variety of different tools to move through their processes. It could be a homespun version of PostgreSQL on their local machine for exploring structured data sets; to visualize, they could be writing code or using a BI tool like Tableau or PowerBI.

Dashboards 92

Dashboards Visualization Machine Learning Data Science 92

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 data improves payment efficiency The impact of ISO 20022 on payment systems data is significant, as it allows for more detailed information in payment messages. appeared first on IBM Blog. Talk to the IBM Payments Center team The post ISO 20022: Are your payment systems ready?

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

Sisense

JULY 22, 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 organizations tackle the challenges of this new world to help their companies and their customers thrive.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 129

Statistics Data Lake Optimization Data-driven 129

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It established a data governance framework within its enterprise data lake. The post 2020 Data Impact Award Winner Spotlight: Merck KGaA appeared first on Cloudera Blog.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 104

Metadata Data Lake Modeling Data Warehouse 104

BizAcuity

MARCH 29, 2019

Load data into staging, perform data quality checks, clean and enrich it, steward it, and run reports on it completing the full management cycle. Numbers are only good if the data quality is good. To get an in-depth knowledge of the practices mentioned above please refer to the blog on Oracle’s webpage.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Ontotext

NOVEMBER 29, 2024

And, for automation to happen, the existing regulatory documents have to be converted from their original textual form into structured data and linked to the models where they apply. This has resulted in heterogeneous models created in various applications and stored in multiple data formats.

Modeling 59

Modeling Structured Data Technology Data Transformation 59

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Data Virtualization

AUGUST 24, 2023

Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Ontotext

JULY 24, 2023

Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start. Cleaning, refining, and aligning your data to shared meaning is the right strategic approach.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

Cloudera

OCTOBER 28, 2021

In the last few years, Commercial Insurers have been making great strides in expanding the use of their data. The approach is very evolutionary; the initial focus tends to be aimed at cost savings and starts with structured data. Then there is a recognition that there is so much more that can be done with the data.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

Ontotext

JULY 26, 2019

For example, within a knowledge graph built with Linked Data, one can connect geographic, government, life sciences, commerce and many other types of data and easily explore, search, visualize and navigate the information they carry. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 75

Technology Enterprise Data Integration Structured Data 75