Insight

MAY 20, 2020

Distributed computing frameworks often require the creation of a set of machines that work with one another to perform some sort of large-scale data processing. For this exercise, I’m assuming this cluster would be used to do a fairly large amount of data processing, so I chose m5a.large instances, which has 2 virtual CPUs and 8GB in memory.

Dashboards 98

Dashboards Data Processing IT Publishing 98

bridgei2i

NOVEMBER 25, 2020

When it comes to using it in an enterprise, semantic search is used to identify the knowledge graphs and help find the data the employees are looking for. It streamlines data flow throughout the enterprise and brings flexibility to the system. Augmented Classification of Data. Automation and Data Governance.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 70

Data Integration Snapshot Testing Visualization 70

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. containing data that may have to be used to enrich the streaming data.

Dashboards 80

Dashboards Machine Learning Statistics KPI 80

Ontotext

NOVEMBER 22, 2020

You want elemental particles to have existed for billions of years, the sun and planets created, you want apple trees to be domesticated and the industrial revolution to have made home ovens possible. GraphQL has a number of advantages for developers, especially for data-centric applications. After all, you just want some pie.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Facebook’s facial recognition photo tagging is an example of a vision system. But are those tools powered by artificial intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Occam's Razor

SEPTEMBER 20, 2010

If you were really smart you would use campaign tagged vanity url so you can segment them!]. Segment them in your data, the delightful numbers you see in your KPI's will show you why. Most website tag and campaign tracking implementations are poor (to put it charitably). Missing web analytics tag from landing pages.

Analytics 122

Analytics Metrics Data-driven Reporting 122

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. We specifically explore how Amazon EMR and the newly developed Apache Iceberg branching and tagging feature can address the challenge of look-ahead bias in backtesting.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

AWS Big Data

OCTOBER 20, 2023

With MSK Connect, you can deploy fully managed connectors built for Kafka Connect that move data into or pull data from popular data stores like Amazon S3 and Amazon OpenSearch Service. You can have multiple internal applications such as databases, data warehouses, or other systems where DNS names are not publicly resolvable.

Data Processing 85

Data Processing Snapshot Data Warehouse Management 85

Occam's Razor

MARCH 30, 2017

Notice nothing is categorized or tagged in the pictures above. On top is a Hong Kong Pineapple Bun, in the middle is an Indian Chapatti, and at the bottom is my wife’s Italian focaccia bread infused with our home grow rosemary. Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :).

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. Subscribe to census data on AWS Data Exchange.

Data Warehouse 79

Data Warehouse Visualization Snapshot Data-driven 79

erwin

APRIL 21, 2020

The easiest way to understand a data catalog is to look at how libraries catalog books and manuals in a hierarchical structure, making it easy for anyone to find exactly what they need. Similarly, a data catalog enables businesses to create a seamless way for employees to access and consume data and business assets in an organized manner.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. CDP Private Cloud Base offers 3 levels of security that implement these features. Non-secure.

Data Processing 106

Data Processing Management Cost-Benefit Finance 106

Sisense

JULY 24, 2020

Analytics and data are changing every facet of our world. In The State of BI & Analytics , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. Using data to find solutions: The State of BI & Analytics.

Data-driven 96

Data-driven Cost-Benefit Interactive Marketing 96

Cloudera

APRIL 21, 2022

The Department of Defense (DoD) began implementing a platform originally tagged as the generic CHCS II (Composite Health Care System), a precursor to the military’s second-generation electronic health records (EHR) system, MHS Genesis. So how exactly is the EHR managing petabytes of data? million retirees, 1.3

Metadata 83

Metadata Informatics Insurance Data Processing 83

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). Tag Management. Get a tag management tool. won't have access to this data.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. AWS Glue Data Catalog permissions are needed to create tables.

Reporting 85

Reporting Data Lake Management Optimization 85

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. With Redshift Serverless, users such as data analysts, developers, business professionals, and data scientists can get insights from data by simply loading and querying data in the data warehouse.

Finance 79

Finance Data Warehouse Sales Metadata 79

CDW Research Hub

AUGUST 9, 2019

These tools, together with Microsoft documentation and prescriptive guidance from partner organizations like Sirius, enable organizations to address the following concerns: Data sovereignty and other regulatory requirements. Each user will have a “home” directory for authentication but can also be guests in other directories.

Enterprise 45

Enterprise Management Testing Optimization 45

Occam's Razor

FEBRUARY 22, 2010

The reason is simple: The ecosystem within which you function on the web contains mind blowing data you can use to become better. It is simply magnificent what you can do with freely available data on the web about your direct competitors, your industry segment and indeed how people behave on search engines and other websites.

Metrics 123

Metrics Advertising Reporting Software 123

Alation

APRIL 19, 2022

Yet to realize this vision, people need access to data. Data producers and consumers alike are working from home and hybrid locations more often. And in an increasingly remote workforce, people need to access data systems easily to do their jobs. Today, data dwells everywhere. What Is Data Modernization?

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

CIO Business Intelligence

APRIL 12, 2022

trillion in 2021, according to financial market data provider Refinitiv. The acquisition will help it extract process data from enterprise systems such as Oracle, SAP, ServiceNow, and Salesforce to identify process bottlenecks that can be optimized or automated. NTT Data adds Vectorform to service portfolio.

Enterprise 143

Enterprise Technology Consulting Software 143

Occam's Razor

FEBRUARY 9, 2015

When you are done reading the post, you'll be super mad that your marketing strategy is not more influenced by your competitor's data! Since then, as luck would have it, we have more tools, they are smarter, and have richer data-sets. How is competitive intelligence data collected? CI data collection.

Metrics 155

Metrics Reporting IT Advertising 155

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52