AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. Choose Register location.

Management 103

Management Data Lake Sales Data Warehouse 103

Cloudera

MAY 9, 2023

provides Japan-based mobile communications services, mobile device sales, fixed-line communications, and ISP services, with more than 80 million users nationwide. The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services.

Data Lake 90

Data Lake IoT Data Governance Data-driven 90

CIO Business Intelligence

OCTOBER 18, 2022

She decided to bring Resultant in to assist, starting with the firm’s strategic data assessment (SDA) framework, which evaluates a client’s data challenges in terms of people and processes, data models and structures, data architecture and platforms, visual analytics and reporting, and advanced analytics.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 106

Data-driven Data Lake Data Quality Data Governance 106

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 112

Data Warehouse Data Lake Analytics Machine Learning 112

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. The departments include teams from engineering to sales and marketing. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

Cloudera

NOVEMBER 29, 2021

Carrefour Spain , a branch of the larger company (with 1,250 stores), processes over 3 million transactions every day, giving rise to challenges like creating and managing a data lake and honing down key demographic information. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 97

Enterprise Data Warehouse Data Lake Optimization 97

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We Its brands include ésika, L’Bel, and Cyzone, and its products range from skincare and makeup to fragrances.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

Octopai

AUGUST 24, 2022

The term “mesh”’s latest appearance is in the concept of data mesh , coined by Zhamak Dehghani in her landmark 2019 article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh. How is data mesh a mesh? . is that they are a team in charge of data product.

Strategy 92

Strategy Data-driven Sales Enterprise 92

CIO Business Intelligence

MAY 12, 2022

The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. Everyone has data lakes, data ponds – whatever you want to call them. How do you get your arms around all the data you have? Real-time data is air.

Testing 98

Testing Advertising Data Lake Marketing 98

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

DECEMBER 19, 2024

Delta tables technical metadata is stored in the Data Catalog, which is a native source for creating assets in the Amazon DataZone business catalog. Access control is enforced using AWS Lake Formation , which manages fine-grained access control and data sharing on data lake data.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Additionally, a data warehouse runs on Amazon Redshift storing historical data for reporting and analytics purposes. compatible with MySQL 8.0.32 Sudipta Bagchi is a Sr.

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

CIO Business Intelligence

JANUARY 30, 2024

You will not be successful without procurement, R&D, supply chain, manufacturing, sales, human resources, legal, and tax at the table.” This year, the team will connect all ESG data sources to the Allianz data lake, which also contains the parent company’s commercial, financial, and HR data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

BizAcuity

APRIL 14, 2022

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. Competitive Advantages to using Big Data Analytics. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

JULY 28, 2023

In this post, we show how to create and query views on federated data sources in a data mesh architecture featuring data producers and consumers. The term data mesh refers to a data architecture with decentralized data ownership. The following diagram depicts our data architecture.

Big Data 87

Big Data Data Architecture Data Lake Interactive 87

AWS Big Data

MARCH 26, 2024

reduction in sales cycle duration, 22.8% Pillar 1: Data collection As you start building your customer data platform, you have to collect data from various systems and touchpoints, such as your sales systems, customer support, web and social media, and data marketplaces. Organizations using C360 achieved 43.9%

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Peter James Thomas

APRIL 3, 2020

Let’s look at the actual sales and then filter these by channel. ” “I do Luuk, what is driving this problem in sales via franchises?” When I discussed these same figures with my sales team earlier, they came up with what I think is a sound strategy to counterpunch. What else can you tell me?”

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Alation

FEBRUARY 20, 2020

After putting up a scintillating show at the Strata Data Conference in New York, Alation is touring Dreamforce in San Francisco. Here we are showcasing how the Alation Data Catalog and its integration with Salesforce Einstein Analytics can drive a data-driven Sales Operations.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

AWS Big Data

DECEMBER 2, 2024

Using AWS Glue , a serverless data integration service, companies can streamline this process, integrating data from internal and external sources into a centralized AWS data lake. From there, they can perform meaningful analytics, gain valuable insights, and optionally push enriched data back to external SaaS platforms.

Data Lake 88

Data Lake Testing Data Integration Metadata 88