AWS Big Data

APRIL 20, 2023

Use cases for Amazon Redshift integration with Apache Spark For our use case, the leadership of the product-based company wants to know the sales for each product across multiple markets. As sales for the company fluctuate dynamically, it has become a challenge for the leadership to track the sales across multiple markets.

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

AWS Big Data

JUNE 29, 2023

Test the filter by selecting the actual log stream. For testing, use the following pattern and choose Test pattern. We use the following commands to test the solution; however, this is not restricted to these commands only. In the Create policy section, choose the JSON tab and enter the following IAM policy.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Howard Dresner

AUGUST 27, 2013

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” But our annual Wisdom of Crowds® market studies show that mobile is increasingly becoming a force in BI.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. For this post, we have a Marketing database and a customer table on which we grant access to our enterprise user analyst1. Choose Create. Choose Grant.

Analytics 94

Analytics Data Lake Management Enterprise 94

Smart Data Collective

APRIL 20, 2023

Companies are spending nearly $30 billion a year on big data for marketing initiatives. One of the many reasons that they are using big data is to create better content marketing strategies. The goal of creating a successful content marketing strategy is not simply to create and publish content.

Marketing 79

Marketing Strategy Big Data ROI 79

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

AWS Big Data

JUNE 13, 2023

Test the application Let’s invoke the application you have created to seamlessly sign in to QuickSight using the following URL. Raji is specialized in architecting end-to-end Enterprise Data Management, Business Intelligence and Analytics solutions for Fortune 500 and Fortune 100 companies across the globe.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. Interesting times.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

AWS Big Data

OCTOBER 23, 2023

Then to perform more complex data analysis such as regression tests and time series forecasting, you can use Apache Spark with Python, which allows you to take advantage of a rich ecosystem of libraries, including data visualization in Matplot, Seaborn, and Plotly. About the Authors Pathik Shah is a Sr.

Data Lake 101

Data Lake Visualization Optimization Interactive 101

Domino Data Lab

AUGUST 8, 2019

following a breakthrough paper or two, plus changes in market microstructure). to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops! No big deal.”. The Big Picture. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

AWS Big Data

MARCH 22, 2023

Choose Test Connection. After the test connection is successfully complete, set Provisioning Status to On. Choose Automatic in Provisioning Mode and enter the following values: Tenant URL – The value in the SCIM endpoint field. Secret Token – The value in the Access token field. Choose Save. For Time Out , set to 15 seconds.

Management 93

Management Metadata Enterprise Testing 93

Domino Data Lab

MARCH 3, 2019

After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Surveying ABC adoption in enterprise. Or something. Technologies.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

DECEMBER 28, 2021

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistical studies can also assist in the marketing of goods or services, and in understanding each target market’s unique value drivers. Source: Bill Grueskin.

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161