AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 113

Data Warehouse Analytics Data Lake Machine Learning 113

DataKitchen

SEPTEMBER 18, 2024

Key statistics highlight the severity of the issue: 57% of respondents in a 2024 dbt Labs survey rated data quality as one of the three most challenging aspects of data preparation (up from 41% in 2023). 73% of data practitioners do not trust their data (IDC).

Scorecard 177

Scorecard Data Quality Measurement Testing 177

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 93

Data Lake Data Warehouse Marketing Management 93

CIO Business Intelligence

SEPTEMBER 6, 2023

Juergen Sussner, Lead Cloud Platform Engineer at DATEV eG, advises organizations to try to implement small use cases and test them well, if they work, scale them, if not, try another use case. For example, litigation has surfaced against companies for training AI tools using data lakes with thousands of unlicensed works.

Software 119

Software Risk Experimentation Uncertainty 119

AWS Big Data

NOVEMBER 8, 2023

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. Reserve your seat now! All work and no play … not at re:Invent!

Data-driven 99

Data-driven Machine Learning Data Lake Cost-Benefit 99

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 122

Optimization Snapshot Data Lake Metadata 122

CIO Business Intelligence

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

AWS Big Data

NOVEMBER 10, 2023

These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime. During feature development, data engineers require a seamless interface to the EDW. Previous solution process In the previous solution, product team data engineers spent 30 minutes per run to manually expose Redshift data to Spark.

Data Processing 105

Data Processing Data Lake Data Warehouse Optimization 105

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift was launched in preview during AWS re:Invent 2023. Safety features Amazon Q generative SQL has built-in safety features to warn if a generated SQL statement will modify data and will only run based on user permissions. To test this, let’s ask Amazon Q to “delete data from web_sales table.”

Metadata 97

Metadata Sales Data Warehouse Optimization 97

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 141

Risk Manufacturing Enterprise Technology 141

AWS Big Data

MARCH 27, 2024

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. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 106

Data Analytics Analytics Data Warehouse Data Lake 106

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good.

Unstructured Data 64

Unstructured Data Data Lake Data Warehouse Machine Learning 64

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. _cdc_unit" t2 WHERE t2.deletexid_ _cdc_unit" t2 WHERE t2.deletexid_

Data Warehouse 99

Data Warehouse Data Processing Data Lake Management 99

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources.

Analytics 109

Analytics Data Lake Management Enterprise 109

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. The flow he built differentiates between test or true API call before initiating a secure log in. Completeness is estimated by comparing a test result with “estimated total.”

Testing 77

Testing Data Lake Data Processing IT 77

CIO Business Intelligence

APRIL 22, 2024

L’ultimo Rapporto Clusit ha contato 2.779 incidenti gravi a livello globale nel 2023 (+12% rispetto al 2022), di cui 310 in Italia, ovvero l’11% del totale mondiale e un incremento addirittura del 65% in un anno. Nella cybersicurezza sto procedendo in questo modo, con i test per la control room”, rivela il manager.

Data Lake 105

Data Lake Testing Management IoT 105

CIO Business Intelligence

MARCH 13, 2024

Infatti, secondo il “Report Imprese e Ict 2023” di Istat, la mancanza di competenze è il primo freno all’adozione delle tecnologie IA in Italia: il 55,1% delle imprese che hanno preso in considerazione il suo utilizzo senza poi adottarla ha rinunciato per carenza di skill e comprensione delle possibilità per il proprio business.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

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

CIO Business Intelligence

SEPTEMBER 21, 2023

To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

MARCH 27, 2023

Although this approach works well for many use cases, it requires data to be moved, and therefore duplicated, before it can be visualized. Enriching data with reference data in another data store With ksqlDB queries, the source and destination are always Kafka topics. Choose Create data source.

Visualization 84

Visualization Data Lake Interactive Data-driven 84

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. This generates reliable business insights and sustains AI-driven value across the enterprise. For more information, visit [link]. DATAROBOT LAUNCH EVENT From Vision to Value.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Cloudera

FEBRUARY 8, 2024

Performance with materialized views In order to evaluate the performance of queries in the presence of materialized views in Iceberg table format, we used a TPC-DS data set at 1 TB scale factor. Furthermore, it is partitioned on the d_year column. We ran the ANALYZE command to gather both table and column statistics on all the base tables.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

OCTOBER 23, 2024

Le aziende che sperimentano la GenAI di solito creano account di livello aziendale con servizi basati sul cloud, come ChatGPT di OpenAI o Claude di Anthropic, e i primi test sul campo e i vantaggi in termini di produttività le portano a cercare altre opportunità per implementare la tecnologia. “Le

Testing 64

Testing Data Lake Data Warehouse Management 64

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. How you can get started today Test out watsonx.ai and watsonx.data for yourself with our watsonx trial experience. Within the watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

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. As of January 2023, Showpad’s QuickSight instance includes over 2,433 datasets and 199 dashboards.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

CIO Business Intelligence

JULY 22, 2024

L’attività di web scraping può essere diretta (effettuata dallo stesso soggetto che sviluppa il modello) o indiretta (effettuata su dataset creati mediante tecniche di web scraping da soggetti terzi rispetto allo sviluppatore del modello, quindi attingendo a data lake di terze parti precedentemente creati mediante scraping).

Machine Learning 52

Machine Learning Data Lake Management Testing 52

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix. This is a new way to interact with the web and search.

IT 119

IT Insurance Cost-Benefit Testing 119

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Iceberg also helps guarantee data correctness under concurrent write scenarios. On the Code tab, choose Test , then Configure test event.

Data Lake 79

Data Lake Metadata Testing Snapshot 79

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake 92

Data Lake IoT Metadata Testing 92

AWS Big Data

NOVEMBER 27, 2024

Although S3 Lifecycle policies could move data to S3 Glacier, EMR jobs couldn’t easily incorporate this archived data into their processing without manual intervention or separate data retrieval steps. and later versions offer improved integration with S3 Glacier storage, enabling cost-effective data analysis on archived data.

Big Data 104

Big Data Data Processing Cost-Benefit Optimization 104

CIO Business Intelligence

DECEMBER 23, 2024

Nel 2025 arriveranno gli AI Agent Gli OsservatoriStartup ThinkingeDigital Transformation Academydel Politecnico di Milano prevedono per il 2025 un aumento dell1,5% dei budget in ICT delle imprese, in linea con il trend degli ultimi nove anni, seppur con un tasso di crescita leggermente inferiore rispetto al 2023 (+1,9%).

Machine Learning 104

Machine Learning Data Governance Data Lake ROI 104

CIO Business Intelligence

JANUARY 16, 2025

The mega-vendor era By 2020, the basis of competition for what are now referred to as mega-vendors was interoperability, automation and intra-ecosystem participation and unlocking access to data to drive business capabilities, value and manage risk. edge compute data distribution that connect broad, deep PLM eco-systems.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105

Jet Global

MARCH 27, 2025

for Ease of Use’ in the latest BPM Pulse Survey 2023. data lakes & warehouses like Cloudera, Google Big Query, etc., Scalability: Your source systems, data volumes, and calculation complexities change as your business evolves. Our customers ranked us #1 with a rating of 4.9

Finance 52

Finance Reporting Cost-Benefit Forecasting 52