AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 76

Data Lake Dashboards Cost-Benefit Data Warehouse 76

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based.

Data Warehouse 130

Data Warehouse Cost-Benefit Data Lake Software 130

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

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses. 2-A truly open data lakehouse.

Management 92

Management Metadata Machine Learning Data Lake 92

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 88

Data Lake Data Governance Machine Learning Cost-Benefit 88

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 95

Snapshot Data Lake Testing Strategy 95

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services.

Data Lake 105

Data Lake Metadata Data Governance Statistics 105

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle’s digital business in 2022 was $3.5 Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone.

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 72

Optimization Data Lake Cost-Benefit Reporting 72

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 116

Data Lake Visualization Optimization Interactive 116

AWS Big Data

AUGUST 9, 2024

These processes retrieve data from around 90 different data sources, resulting in updating roughly 2,000 tables in the data warehouse and 3,000 external tables in Parquet format, accessed through Amazon Redshift Spectrum and a data lake on Amazon Simple Storage Service (Amazon S3). We started with 115 dc2.large

Data Lake 107

Data Lake Analytics Data Warehouse Data-driven 107

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

CIO Business Intelligence

OCTOBER 1, 2022

In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

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 104

Data Lake Data Warehouse Data-driven B2B 104

CIO Business Intelligence

JULY 26, 2023

“The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. billion in 2022, resource industries $82.1 billion in 2022, and personal and consumer services at $82.6 billion in 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures. Are data architects in demand?

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

JULY 13, 2023

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Foundations for a data lake with data governance controls and data quality checks. A set of QuickSight dashboards to be consumed via browser and mobile.

Optimization 96

Optimization B2B Data Quality Sales 96

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. The solution?

IT 111

IT Data Lake Cost-Benefit Digital Transformation 111

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 117

Data Lake Management Metrics Data Warehouse 117

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 88

Data Lake Data Analytics Analytics Data Processing 88

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 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. You worry you don’t have enough capacity, so you overprovision,” he says.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

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 122

Dashboards Publishing Data-driven Cost-Benefit 122

AWS Big Data

JUNE 21, 2023

Built on highly curated structured data, it provides the flexibility and speed to run aggregations across an entire dataset to derive insights. To house our data, we need to define a data model. An optimal design choice is to use a dimensional model. This is achieved by partitioning the data.

Data Warehouse 91

Data Warehouse Data Lake OLAP Cost-Benefit 91

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 90

Digital Transformation Cost-Benefit Data Lake Machine Learning 90

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. Discover Meaning Amid All That Data. This will ensure that you have the information you need to optimize your marketing spend. Why business intelligence ?

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

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

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. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 141

Risk Manufacturing Enterprise Technology 141

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. He is passionate about big data and data analytics.

Metadata 87

Metadata Data Lake Testing Consulting 87

Cloudera

SEPTEMBER 9, 2022

This is the promise of the modern data lakehouse architecture. analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.”

Metadata 102

Metadata Machine Learning Unstructured Data Data Lake 102

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. 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. Digital Transformation, RFID

Data Lake 98

Data Lake Data Warehouse Cost-Benefit Digital Transformation 98

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 59

Data Warehouse Data Lake Unstructured Data Optimization 59

AWS Big Data

OCTOBER 17, 2024

You can then run enhanced analysis on this DynamoDB data with the rich capabilities of Amazon Redshift, such as high-performance SQL, built-in machine learning (ML) and Spark integrations, materialized views (MV) with automatic and incremental refresh, data sharing, and the ability to join data across multiple data stores and data lakes.

Metrics 100

Metrics Dashboards Data Warehouse Statistics 100

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 91

Data Lake Dashboards Metrics Metadata 91