CIO Business Intelligence

APRIL 25, 2024

The data becomes part of Salesforce’s metadata framework and can thus be used in multiple ways, including generating BI or AI insights, marketing segmentation or activation, or creating unified customer experiences. Sharing Customer 360 insights back without data replication. Maintain governance and security.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 113

Data Warehouse Data Lake Cost-Benefit Structured Data 113

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. 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.

Data Lake 113

Data Lake Data Warehouse Data-driven B2B 113

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

AUGUST 27, 2024

Salesforce Data Cloud creates a holistic customer view by turning volumes of disconnected data into a unified customer profile that’s straightforward to access and understand. The Amazon Redshift service must be running in the same Region where the Salesforce Data Cloud is running. He helps customers become data-driven.

Data Lake 109

Data Lake Analytics Data-driven Management 109

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc. Connect tables.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. For this demo, you can upload the Nation Market segment file to your Google sheet before proceeding to the next steps.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services.

Modeling 114

Modeling IT Machine Learning Data Governance 114

IBM Big Data Hub

APRIL 24, 2023

Benefits of new data warehousing technology Everything is data, regardless of whether it’s structured, semi-structured, or unstructured. Most of the enterprise or legacy data warehousing will support only structured data through relational database management system (RDBMS) databases.

Data Warehouse 88

Data Warehouse Data Lake Cost-Benefit Big Data 88

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 109

Data Warehouse Analytics Data Lake Data Science 109

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

AWS Big Data

MARCH 27, 2024

With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse. Amazon Redshift integrates with AWS HealthLake and data lakes through Redshift Spectrum and Amazon S3 auto-copy features, enabling you to query data directly from files on Amazon S3. Satesh Sonti is a Sr.

Data Analytics 117

Data Analytics Analytics Data Warehouse Data Lake 117

Cloudera

JULY 26, 2021

In their seminal work on Data Product Development, MIT academics Meyer and Zack had advocated that a well-designed and executed platform approach “ enables a company to create new versions of its products rapidly and efficiently to respond to or anticipate changing market needs”. data warehousing).

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Sisense

JUNE 30, 2020

A simple example would be the analysis of marketing campaigns. The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CIO Business Intelligence

JULY 29, 2022

For financial services company Capital Group, competing in tight IT talent markets is all about the long run. “We Aimee Oz, a software development engineer at Capital Group, started in 2021 as an intern and participated in the data engineering bootcamp that was offered to all new team members. Investing in future leaders.

Data Lake 98

Data Lake Software Data Processing Structured Data 98

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 57

Data Warehouse Data Lake Unstructured Data Optimization 57

Jet Global

OCTOBER 30, 2020

Introducing Data Lakes. Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

JULY 5, 2022

Our DNA of pioneering the relational database system continues to help organizations differentiate in their respective markets and is recognized in Db2 client satisfaction and today’s success stories. “If we look at our competitors for example, it demonstrates how prevalent the core Db2 foundations have become in the market.

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 97

Data Strategy Strategy Data Warehouse Prescriptive Analytics 97

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 98

Data Lake Data Warehouse Sales Data-driven 98

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

Sisense

OCTOBER 6, 2020

Digging into quantitative data. Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

AUGUST 31, 2023

Data warehousing provides a business with several benefits such as advanced business intelligence and data consistency. It plays a big role within an organization by helping to make the right strategic decision at the right moment which could have a huge impact in a competitive market.

Data Warehouse 109

Data Warehouse Data-driven Testing Business Intelligence 109

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric and data mesh as concepts have overlaps.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. This process has been scheduled to run daily, ensuring a consistent batch of fresh data for analysis. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 125

Data Warehouse Testing Data Quality Reporting 125

AWS Big Data

APRIL 4, 2024

Aura from Unity (formerly known as ironSource) is the market standard for creating rich device experiences that engage and retain customers. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 89

Big Data Data Warehouse Advertising OLAP 89

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. The Data Science teams also use this data for churn prediction and CLTV modeling.

Analytics 57

Analytics Data Lake Testing Optimization 57

CDW Research Hub

DECEMBER 4, 2019

There are many benefits of using a cloud-based data warehouse, and the market for cloud-based data warehouses is growing as organizations realize the value of making the switch from an on-premises data warehouse.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

CIO Business Intelligence

DECEMBER 4, 2023

It’s now clear that CIOs hold the keys to unlocking the untapped value of data–and all assets– and by doing so, can catalyze a “make-or-break” business advantage. Tomorrow’s market leaders will recognize how to curate and enrich the value of all assets, which will train AI models, generate insights, and drive automation.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Cloudera

OCTOBER 30, 2018

The abundant growth of data, maturation of machine algorithms, and future regulatory compliance demands from the European Union’s General Data Protection Regulation (GDPR) will shift the landscape for creating a single source of the truth for customer data. Additionally, they only provide one piece of the puzzle.

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Alation

JULY 19, 2022

Data scientists often have different requirements for a data catalog than data analysts. Although there is significant overlap between their workflows, data scientists often rely on raw data stored in a data lake rather than the highly structured data in a data warehouse, which is the realm of the analyst.

Metadata 59

Metadata Data Quality Statistics Data Science 59

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98