Cloudera

OCTOBER 6, 2022

Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. For example, we have some customers using their data platform originally established for compliance initiatives to drive new use cases.

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

CIO Business Intelligence

OCTOBER 18, 2023

OpenAI’s November 2022 announcement of ChatGPT and its subsequent $10 billion in funding from Microsoft were the “shots heard ’round the world” when it comes to the promise of generative AI. in concert with Microsoft’s AI-optimized Azure platform. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x

Risk 141

Risk Manufacturing Enterprise Technology 141

AWS Big Data

JUNE 28, 2023

While all of this is happening—a process that can take days—data analysts can’t run interactive analysis or build dashboards, data scientists can’t build machine learning (ML) models or run predictions, and end-users can’t make data-driven decisions. It is quite a lot of repetitive work.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

IBM Big Data Hub

JULY 5, 2022

Db2’s decades of innovation and expertise running the most demanding transactional, analytical, and operational workloads have culminated today in the 2022 Gartner Peer Insights Customers’ Choice distinction for Cloud Database Management Systems. . To learn more, visit IBM Db2 and our IBM data management page. .

Data Lake 94

Data Lake Data Warehouse Publishing Structured Data 94

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. In April 2022, Auto Scaling for AWS Glue was released for AWS Glue version 3.0 1X 1 4 16 64 G.2X

Reporting 70

Reporting Metrics Optimization Data Lake 70

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 116

Data Lake Metadata Optimization Statistics 116

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 85

Snapshot Data Lake Testing Strategy 85

BizAcuity

MARCH 1, 2019

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. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

JULY 13, 2023

Although the group saw strong results at 2022-year end, the region continues to experience challenging operating conditions with global supply chains disrupted, electronic component shortages, and scarcity of IT talent. Foundations for a data lake with data governance controls and data quality checks.

Optimization 91

Optimization B2B Data Quality Sales 91

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics.

Data Lake 84

Data Lake Metadata Cost-Benefit Data Warehouse 84

AWS Big Data

OCTOBER 23, 2023

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. An Athena Spark workgroup configured for use.

Data Lake 105

Data Lake Visualization Optimization Interactive 105

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

IBM Big Data Hub

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

Cost-Benefit 82

Cost-Benefit Metadata Data Governance Modeling 82

CIO Business Intelligence

OCTOBER 18, 2022

So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model. Lost and found tracking will be improved based on the guest routes. “In

Data Lake 98

Data Lake Cost-Benefit Digital Transformation Data Warehouse 98

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. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jedox

JANUARY 19, 2023

Read the conversation below to learn what leaders and teams in every organization should know about optimizing their planning and performance management processes to reach Superplännen – an elevated state of planning. Too many organizations around the world have a plan that doesn’t match their actual business model and structure.

IT 86

IT Forecasting Data Lake Marketing 86

CIO Business Intelligence

APRIL 18, 2023

Cloud-based network management increases agility and allows resource-constrained IT departments to focus on optimizing the network, not deploying, managing, or upgrading the network management system. Cloud-based network management also better aligns spend through a subscription, OpEx-driven model.

IoT 52

IoT Internet of Things Data Lake Optimization 52

Cloudera

AUGUST 4, 2021

As a result, the biometrics market is estimated to be worth a staggering $49 billion by 2022 and huge investments are being made in the development of new algorithms and systems to improve biometric accuracy. Consistent data context simplifies the delivery of data and analytics. Companies indeed are taking notice.

Data Governance 83

Data Governance Metadata Data-driven Enterprise 83

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). In this post, we walk through the process of exporting data from a DynamoDB table to Amazon Redshift. We discuss data model design for both NoSQL databases and SQL data warehouses.

Data Warehouse 81

Data Warehouse Data Lake OLAP Cost-Benefit 81

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems.

Dashboards 114

Dashboards Data-driven Publishing Cost-Benefit 114

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

AWS Big Data

APRIL 5, 2023

Showpad also struggled with data quality issues in terms of consistency, ownership, and insufficient data access across its targeted user base due to a complex BI access process, licensing challenges, and insufficient education. Showpad completed its internal BI migration to QuickSight by the end of 2022.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

SEPTEMBER 19, 2023

In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52