AWS Big Data

APRIL 26, 2023

We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

AWS Big Data

DECEMBER 21, 2023

In this way, borrowers can choose the deals that are most favorable to them in a fast, digitalized, and efficient way. smava believes in and takes advantage of data-driven decisions in order to become the market leader. The departments include teams from engineering to sales and marketing.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics examples.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Alation

JULY 18, 2022

“Leveraging the data captured by the Unity metastore, Alation will enhance our existing integration with Databricks by easily including metadata from multiple workspaces,” said Alation director of product marketing Ibby Rahmani. The Power of Partnership to Accelerate Data Transformation. Conclusion.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

AWS Big Data

OCTOBER 18, 2023

To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services.

Big Data 83

Big Data Data Processing Interactive Testing 83

Birst BI

FEBRUARY 25, 2020

What gaps does the joint solution address in the market? The benefits of Birst’s cloud-native analytics platform powered by Snowflake’s world-class cloud data warehouse are numerous, especially as cloud becomes the first choice for enterprise data transformation initiatives.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Anmut

MARCH 24, 2022

Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. It’s possible to finally break the bad data cycle and achieve true data transformation — and it all starts with gaining a fundamental understanding of your organisation’s data landscape.

ROI 52

ROI Measurement Data-driven Data Transformation 52

bridgei2i

SEPTEMBER 3, 2020

My name is Arjun Shenoy, and I help companies succeed in their AI-enabled digital transformation efforts. I’m a director with BRIDGEi2i, and I focus on building assets and solutions that support execution and quick ROI on client’s digital programs. Transcript. Arjun: Hey, hi there.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

IBM Big Data Hub

JULY 17, 2023

Capabilities within the Prompt Lab include: Summarize: Transform text with domain-specific content into personalized overviews and capture key points (e.g., ” Raman Venkatraman, CEO of STL Digital Watsonx.data is truly open and interoperable. .

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Sisense

MAY 14, 2019

What was once a bold prediction is becoming more obvious by the day; current leaders in every industry are either disruptors that dominate legacy industries leveraging big data, or they’re traditional enterprises that see data as an opportunity to transform their products and services. Better Together.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49