AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. The following is a visual representation of an example job where the number of workers is 10. When the example job ran, the workerUtilization metrics showed the following trend.

Metrics 93

Metrics Data Lake Cost-Benefit Dashboards 93

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. I thought this was a fairly comprehensive list.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. The output will give a count of the number of data and metadata files deleted.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

CIO Business Intelligence

APRIL 26, 2022

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs). That’s right.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

AWS Big Data

MARCH 29, 2024

Looking at the Skewness Job per Job visualization, there was spike on November 1, 2023. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. Let’s drill down into details.

Metrics 103

Metrics Visualization Dashboards Interactive 103

CIO Business Intelligence

APRIL 12, 2023

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. Wrapping up Moving real-time AI from the edge of innovation to the center of the business will be one of the biggest challenges for organizations in 2023.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

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. Questa attenzione massima rispecchia la consapevolezza che le cyber-minacce sono sempre più numerose e preoccupanti.

Data Lake 105

Data Lake Testing Management IoT 105

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 69

Data Lake Testing Snapshot Sales 69

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. availability. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

Data Lake 82

Data Lake Snapshot Metadata Optimization 82

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

Timo Elliott

NOVEMBER 30, 2022

My role was to talk about the trends and opportunities for 2023, for customers, SAP, and our partners. Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98

CIO Business Intelligence

FEBRUARY 20, 2024

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience. “We

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Integration 115

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 73

Data Quality Data Lake Data-driven Metrics 73

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Savings may vary depending on configurations, workloads and vendors.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

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.

Data Lake 98

Data Lake Cost-Benefit Digital Transformation Data Warehouse 98

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. In our query, it corresponds to the time 2023-04-18 21:34:13.970.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

BI-Survey

APRIL 27, 2023

Eckerson Group wrote this report in collaboration with BARC by studying the results of a global survey of 238 data & analytics practitioners and leaders. BARC conducted the survey in December 2022 and January 2023, drawing respondents from companies of various sizes and across various industries.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52

IBM Big Data Hub

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2.  With Db2 Warehouse’s fully managed cloud deployment on AWS, enjoy no overhead, indexing, or tuning and automated maintenance.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

AWS Big Data

NOVEMBER 13, 2023

2023 AWS Analytics Superheroes We are excited to introduce the 2023 AWS Analytics Superheroes at this year’s re:Invent conference! A shapeshifting guardian and protector of data like Data Lynx? 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

Data Warehouse 97

Data Warehouse Machine Learning Data-driven Data Lake 97

AWS Big Data

NOVEMBER 15, 2023

Connect with experts, meet with book authors on data warehousing and analytics (at the Meet the Authors event on November 29 and 30, 3:00 PM – 4:00 PM), win prizes, and learn all about the latest innovations from our AWS Analytics services. A shapeshifting guardian and protector of data like Data Lynx?

Data Lake 65

Data Lake Data Warehouse B2B Deep Learning 65

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! Register now to secure your spot!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

erwin

JANUARY 10, 2024

The result is an improvement in quality and availability of data such that you can monetize it. Your goal should be enterprise data management and an analytics function that pays for itself, like a self-funding data warehouse, data lake or data mesh. What is data monetization?

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. You have to specify –-sql to specify your SQL commands.

Interactive 89

Interactive Metadata Data Warehouse Data-driven 89

Cloudera

NOVEMBER 27, 2023

Earlier this month (November 6 through 8, 2023) a few hundred Apache Flink enthusiasts descended upon a Hyatt Regency Lake near Seattle for the annual Flink Forward conference. Sign up for a free trial of Cloudera’s NiFi-based DataFlow and walk through use cases like stream filtering and cloud data warehouse ingest.

Data Lake 78

Data Lake Advertising ROI Data Warehouse 78

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 93

OLAP Data Lake Data-driven Snapshot 93

Jet Global

SEPTEMBER 19, 2023

Data Access What insights can we derive from our cloud ERP? 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? How do I access the legacy data from my previous ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52