AWS Big Data

FEBRUARY 29, 2024

To provide a response that includes the enterprise context, each user prompt needs to be augmented with a combination of insights from structured data from the data warehouse and unstructured data from the enterprise data lake.

Data Governance 98

Data Governance Unstructured Data Metadata Data Lake 98

Cloudera

AUGUST 18, 2021

Data processed at the edge or in the cloud, for instance, is not effective if it follows the traditional lifecycle of “ingest, process, land, and analyze.” If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. Improving Patient Care.

Data Lake 90

Data Lake IoT Internet of Things Data-driven 90

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

Data Quality 74

Data Quality Metrics Visualization Dashboards 74

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Well, let’s find out. Artificial intelligence (AI). You can therefore trust its reliability.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

AWS Big Data

JULY 19, 2023

We are now able to import data from Google Cloud Storage to Amazon S3. Scaling considerations In this example, we set the AWS Glue capacity as 10 DPU (Data Processing Units). A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory.

Big Data 86

Big Data Software Consulting Unstructured Data 86

AWS Big Data

MAY 23, 2024

In this post, we show how to create an AWS Glue job that measures and monitors the data quality of a data pipeline using dynamic rules. We also show how to take action based on the data quality results. Clean up To clean up your resources, complete the following steps: Delete the AWS Glue job.

Data Quality 89

Data Quality Metrics Data Lake Sales 89

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 71

Data Quality Data Lake Visualization Data-driven 71

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 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

AUGUST 22, 2023

The features of AWS Glue, which include a scheduler for automating tasks, code generation for ETL (extract, transform, and load) processes, notebook integration for interactive development and debugging, as well as robust security and compliance measures, make it a convenient and cost-effective solution for archival and restoration needs.

Data Processing 91

Data Processing Testing Data Lake Data Integration 91

Smart Data Collective

AUGUST 13, 2019

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. Big data has made gaming a lot more interesting. Their offerings have grown with the advent of data lakes.

Machine Learning 72

Machine Learning Big Data Data Lake Strategy 72

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

Management 81

Management IT Machine Learning Metrics 81

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. AWS Glue released version 4.0 runtime ( 3.5

Testing 80

Testing Data Lake Cost-Benefit Data Integration 80

AWS Big Data

JANUARY 8, 2024

The destination can be an event-driven application for real-time dashboards, automatic decisions based on processed streaming data, real-time altering, and more. Real-time analytics architecture for time series Time series data is a sequence of data points recorded over a time interval for measuring events that change over time.

Analytics 116

Analytics IoT Data-driven Snapshot 116

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

IBM Big Data Hub

JUNE 14, 2023

As a first step, we’re carefully curating an enterprise-ready data set using our data lake tooling to serve as a foundation for our, well, foundation models. We’ve curated a rich set of data from enterprise-relevant domains—finance, legal and regulatory, cybersecurity, sustainability data.

Modeling 87

Modeling Data Lake Enterprise Deep Learning 87

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

OCTOBER 16, 2023

Getting started with foundation models An AI development studio can train, validate, tune and deploy foundation models and build AI applications quickly, requiring only a fraction of the data previously needed. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 73

Risk Modeling Management Metadata 73

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MARCH 1, 2019

At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. IoT produces a treasure trove of big data. If not, the consequences could be catastrophic.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

IBM Big Data Hub

FEBRUARY 2, 2023

Cloud warehouses also provide a host of additional capabilities such as failover to different data centers, automated backup and restore, high availability, and advanced security and alerting measures. Additionally, some DBAs worry that moving to the cloud reduces the need for their expertise and skillset.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

IBM Big Data Hub

JULY 7, 2023

Best practices for proactive data security Best cybersecurity practices mean ensuring your information security in many and varied ways and from many angles. Here are some data security measures that every organization should strongly consider implementing. Define sensitive data.

Risk 40

Risk Data Governance Data Lake Data-driven 40

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.

Reporting 72

Reporting Metrics Optimization Data Lake 72

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Data is on the move. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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 Metadata 52

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 75

Data Lake Measurement Visualization Data Architecture 75

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 95

Data Warehouse Data Lake Analytics Data Science 95

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 88

Data Warehouse Data Lake Cost-Benefit Structured Data 88

AWS Big Data

NOVEMBER 8, 2023

Amazon Redshift Serverless is a fully managed cloud data warehouse that allows you to seamlessly create your data warehouse with no infrastructure management required. Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs), which are part of the compute resources.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

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 78

Data Quality Data Lake Data-driven Metrics 78

AWS Big Data

JANUARY 22, 2024

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 105

Data Lake Visualization Optimization Interactive 105