Data Integration, Data Processing, Data Science and Visualization

Data Integration

Data Processing

Data Science

Visualization

Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. Then we can query the data with Amazon Athena visualize it in Amazon QuickSight.

Data Lake

Data Lake Visualization Dashboards Insurance

7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT Risk Cost-Benefit Risk Management

Join 52,000+

Insiders

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Trending Sources

Why you should care about debugging machine learning models

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. Privacy harms : models can compromise individual privacy in a long (and growing) list of ways. [8]

Machine Learning

Machine Learning Modeling Testing Risk Management

Webinars

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance

Data Governance Machine Learning Metadata Big Data

The DataOps Vendor Landscape, 2021

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . DevOps Infrastructure Tools.

Testing

Testing Machine Learning Consulting Data Quality

The Modern Data Stack Explained: What The Future Holds

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse

Data Warehouse Cost-Benefit Data Transformation Data Science

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

How to choose the best AI platform

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning

Machine Learning Manufacturing Cost-Benefit Deep Learning

Stitch Fix seamless migration: Transitioning from self-managed Kafka to Amazon MSK

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management

Management Metrics Cost-Benefit Data Lake

How Cargotec uses metadata replication to enable cross-account data sharing

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. The job runs in the target account.

Metadata

Metadata Data Lake Machine Learning Big Data

Top 15 data management platforms available today

CIO Business Intelligence

SEPTEMBER 22, 2023

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. DMP vs. CDP Lately a cousin of DMP has evolved, called the customer data platform (CDP).

Management

Management Advertising Data Lake Sales

Top 15 data management platforms

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Lately a cousin of DMP has evolved, called the customer data platform (CDP). Adobe Audience Manager.

Management

Management Advertising Data Lake Sales

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence

Business Intelligence Strategy Cost-Benefit Key Performance Indicator

Best BI Tools For 2024 You Need to Know

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards

Dashboards Visualization Data mining Data-driven

Data Leaders Brief

Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

7 steps for turning shadow IT into a competitive edge

Webinars

Trending Sources

Why you should care about debugging machine learning models

Webinars

Themes and Conferences per Pacoid, Episode 8

The DataOps Vendor Landscape, 2021

The Modern Data Stack Explained: What The Future Holds

Create an end-to-end data strategy for Customer 360 on AWS

How to choose the best AI platform

Stitch Fix seamless migration: Transitioning from self-managed Kafka to Amazon MSK

How Cargotec uses metadata replication to enable cross-account data sharing

Top 15 data management platforms available today

Top 15 data management platforms

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

Best BI Tools For 2024 You Need to Know

Stay Connected