Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

AWS Big Data

JUNE 10, 2024

This amalgamation empowers vendors with authority over a diverse range of workloads by virtue of owning the data. This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used. 5 seconds $0.08 8 seconds $0.07

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Cloudera

DECEMBER 8, 2020

Two years ago we wrote a research report about Federated Learning. We’re pleased to make the report available to everyone, for free. You can read it online here: Federated Learning. Federated Learning is a paradigm in which machine learning models are trained on decentralized data.

Machine Learning 85

Machine Learning Data Lake Reporting Data Collection 85

Smart Data Collective

AUGUST 13, 2019

Machine learning is rewriting the rules of the gaming industry. One report showed that Caesars is investing $1 billion in big data. I still remember playing my favorite games growing up, before machine learning was a thing or big data was a household word. Other companies are following suit.

Machine Learning 96

Machine Learning Big Data Data Lake Strategy 96

Sisense

DECEMBER 23, 2019

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. Let’s talk about AI and machine learning (ML). AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

AWS Big Data

APRIL 24, 2025

You can secure and centrally manage your data in the lakehouse by defining fine-grained permissions with Lake Formation that are consistently applied across all analytics and machine learning(ML) tools and engines. Alice is excited about this decision as she can now build daily reports using her expertise with Athena.

Sales 93

Sales Data Lake Management Data-driven 93

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Easy to report problems and receive updates on fixes.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

David Menninger's Analyst Perspectives

APRIL 28, 2022

One-quarter (27%) of participants in our Data Lake Dynamic Insights Research reported they were currently using data virtualization, and another two-quarters (46%) planned to include data virtualization in the future.

Data Lake 130

Data Lake Big Data Reporting Marketing 130

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. The default output is log based.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

OCTOBER 21, 2024

However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. To achieve this, they plan to use machine learning (ML) models to extract insights from data.

Sales 116

Sales Data-driven Data Processing Key Performance Indicator 116

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. Enable the Cost and Usage Reports. Run queries in Athena.

Reporting 98

Reporting Data Lake Management Optimization 98

AWS Big Data

DECEMBER 4, 2024

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. This post will showcase how this data can also be queried by other data teams using Amazon Athena. Verify that you have Python version 3.7

Data Lake 116

Data Lake Metadata Insurance Data-driven 116

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. 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 130

Data Warehouse Analytics Data Lake Machine Learning 130

CIO Business Intelligence

JULY 8, 2022

Wolverine, which Slater says relies on SAP and Microsoft for its core infrastructure, is now “well along the journey in supply chain data” using SAP SAC analytics but has yet to embark on other aspects of its digital transformation, such as building a data lake and embracing AI, she says. We are not currently doing that.”.

Data Lake 119

Data Lake Manufacturing Machine Learning Digital Transformation 119

CIO Business Intelligence

JULY 29, 2024

They also built an Azure-based data lake to provide global visibility of the company’s data to its 13,000-strong workforce. Digital transformation projects have always been about creating a data-driven business. Previously, each Mosaic location operated its own digital infrastructure.

Digital Transformation 118

Digital Transformation IT Data Lake Sales 118

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. Composite AI mixes statistics and machine learning; industry-specific solutions. Supports larger data management architecture; modular options available. What are predictive analytics tools? On premises or in SAP cloud. Per user, per month.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

NOVEMBER 16, 2023

One of the core features of AWS Lake Formation is the delegation of permissions on a subset of resources such as databases, tables, and columns in AWS Glue Data Catalog to data stewards, empowering them make decisions regarding who should get access to their resources and helping you decentralize the permissions management of your data lakes.

Management 122

Management Data Lake Sales Machine Learning 122

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

David Menninger's Analyst Perspectives

JANUARY 21, 2022

To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Some organizations have started using NLP in self-service analytics to quickly identify patterns and simplify data visualization.

Analytics 130

Analytics Machine Learning Visualization Reporting 130

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. These datasets are pivotal for reporting and analytics use cases, powered by services like Amazon Redshift and tools like Power BI.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111

AWS Big Data

DECEMBER 18, 2023

Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more.

Data Warehouse 111

Data Warehouse Machine Learning Data-driven Data Lake 111

CIO Business Intelligence

SEPTEMBER 7, 2023

Nearly 95% of organizations say hybrid work has led them to invest more in data protection and security, according to NTT’s 2022–23 Global Network Report. You can use AI and machine learning across security, networking and user experience management, all in the same data lake.

IT 111

IT Data Lake Cost-Benefit Digital Transformation 111

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. Learn More, Keep in Touch. This is Now.

Data Warehouse 97

Data Warehouse Machine Learning Visualization Data Lake 97

David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

CIO Business Intelligence

JULY 26, 2023

Its data specialists use Snowflake to craft the architecture and capture a range of data types, from MLS listings to financial transactions, as well as national housing reports and “exhaust data that spits off the consumer-facing website,” Ligon says. Data Management, Digital Transformation, Machine Learning

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98