AWS Big Data

NOVEMBER 8, 2023

In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness. Reserve your seat now! Reserve your seat now!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

AWS Big Data

MAY 4, 2023

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS.

Data Processing 93

Data Processing Metadata Informatics Interactive 93

Data Insight

SEPTEMBER 16, 2019

Creating value from data Understanding how to link data to a business problem, the depth and detail of the data, the best way to extract the knowledge and how to deliver this as a visual, story or fact-based strategy requires a unique combination. What’s my strategy? Who accesses the company data?

Data-driven 40

Data-driven Digital Transformation Strategy Data Strategy 40

Sisense

JUNE 25, 2020

To this end, the firm now collects and processes information from customers, stores, and even its coffee machines using advanced technologies ranging from cloud computing to the Internet of Things (IoT), AI, and blockchain. The firm’s internal AI platform, which is called Deep Brew, is at the crux of Starbucks’ current data strategy.

Big Data 98

Big Data Data-driven IoT Marketing 98

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. Data can be organized into three different zones, as shown in the following figure.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 80

Finance Metadata Big Data Recreation/Entertainment 80

Domino Data Lab

OCTOBER 9, 2019

To lend perspective, the Pacific Marine Environmental Lab (PMEL) for NOAA in Seattle is responsible for collecting more than 50% of the world’s research data about oceanography. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote. See the video and slides for his talk.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

bridgei2i

OCTOBER 20, 2021

So, I’m your host for today, Ronobijay Bhaumik. Today, I’m very pleased to be hosting Aditya Karnani from the factory performance and reliability practice at Colgate Palmolive. and data strategy. Ronobijay Bhaumik – Director, Digital Consulting, Intelligent Operations, BRIDGEi2i.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

Cloudera

MARCH 17, 2022

The public sector already recognizes the enormous potential value of data. That’s ultimately the driver behind the Federal Data Strategy and the 10-year plan , and a host of initiatives such as the State Department’s milestone “Enterprise Data Strategy: Empowering Data Informed Diplomacy” released in 2021. .

IoT 83

IoT Cost-Benefit Data-driven Data Strategy 83

Cloudera

SEPTEMBER 6, 2022

The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges?

Data Architecture 83

Data Architecture Cost-Benefit Digital Transformation Business Driver 83

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Cost-Benefit 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

Alation

JULY 6, 2021

Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. Top Challenges. Is it deprecated?

Data Governance 52

Data Governance Metadata Data Quality Risk 52