DataKitchen

AUGUST 3, 2021

Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. It’s no fun working in data analytics/science when you are the bottleneck in your company’s business processes. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 99

Data Governance Unstructured Data Metadata Data Lake 99

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Cloudera

DECEMBER 16, 2022

We’re proud to be recognized for the data management and data analytics innovations we have delivered in the new Cloudera Data Platform (CDP). Cloudera has always been in the forefront of disruptive technical innovation in data platforms. 4-Ready for modern data fabric architectures.

Management 88

Management Metadata Machine Learning Data Lake 88

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This universe of metadata represents a treasure trove of connected information.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

AWS Big Data

OCTOBER 4, 2023

Use business terms to search, share, and access cataloged data, making data accessible to all the configured users to learn more about data they want to use with the business glossary. Automate data discovery and cataloging with machine learning (ML).

Metadata 104

Metadata Data Lake Publishing Data Governance 104

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Data Journey captures and analyzes the operations occurring in data analytics in real time.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Cloudera

SEPTEMBER 15, 2022

Today’s fast growing data-intensive workloads that drive analytics, machine learning, artificial intelligence, and smart systems demand a storage platform that is both flexible and efficient. Provides high performance namespace metadata operations similar to HDFS. FILE_SYSTEM_OPTIMIZED Bucket (“FSO”).

Metadata 86

Metadata Big Data Optimization Unstructured Data 86

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Security, as ever, made a strong showing, with big premiums paid for experience in cryptography, penetration testing, risk analytics and assessment, and security testing. in the previous six months. since March.

Testing 92

Testing Metadata Data Processing Machine Learning 92

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 116

Data Lake IT Experimentation Data-driven 116

Cloudera

MARCH 3, 2022

Data users in these enterprises don’t know how data is derived and lack confidence in whether it’s the right source to use. . If data access policies and lineage aren’t consistent across an organization’s private cloud and public clouds, gaps will exist in audit logs. From Bad to Worse.

Data Governance 96

Data Governance Enterprise Data Quality Metadata 96

CIO Business Intelligence

NOVEMBER 22, 2022

“Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.” The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

MAY 1, 2024

Excel-based data utilization Microsoft Excel is available on almost everyone’s PC in the company, and it helps lower the hurdles when starting to utilize data. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation.

Dashboards 115

Dashboards Data-driven Publishing Cost-Benefit 115

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

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. Frequent table maintenance needs to be performed to prevent read performance from degrading over time.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

Cloudera

OCTOBER 11, 2022

Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. Different data types need different types of analytics – real-time, streaming, operational, data warehouses. Doing data at scale requires a data platform. .

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

IT 108

IT Data Architecture Unstructured Data Big Data 108

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Then, you transform this data into a concise format. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

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.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

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.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Cloudera

NOVEMBER 17, 2022

While Cloudera CDH was already a success story at HBL, in 2022, HBL identified the need to move its customer data centre environment from Cloudera’s CDH to Cloudera Data Platform (CDP) Private Cloud to accommodate growing volumes of data. Smooth, hassle-free deployment in just six weeks. See other customers’ success here

Management 82

Management Data Lake Consulting Unstructured Data 82

Domino Data Lab

OCTOBER 9, 2019

Metadata Challenges. NOAA teams face substantial challenges in terms of metadata exchange: much of their incoming raw sensor telemetry is time-series data, which uses a netCDF TF format natively. The metadata must be converted into both W3C and ISO standards for publication. Check out the NOAA data catalog for examples.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

CIO Business Intelligence

JUNE 23, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

IT 83

IT Data Architecture Unstructured Data Big Data 83

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

AWS Big Data

SEPTEMBER 29, 2023

To analyze XML files stored in Amazon S3 using AWS Glue and Athena, we complete the following high-level steps: Create an AWS Glue crawler to extract XML metadata and create a table in the AWS Glue Data Catalog. We use the AWS Glue crawler to extract XML file metadata. We also use a custom XML classifier in this solution.

Metadata 67

Metadata Visualization Data-driven Optimization 67

CIO Business Intelligence

MARCH 29, 2022

It isn’t practical to save all your data, but it is important to realize data may be valuable for other projects. You lose that add-on value when you throw data away. . This type of data waste results in missing out on the second project advantage. You have data but don’t use it.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. For instructions, refer to Setting up databases and tables in AWS Glue.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Cloudera

FEBRUARY 11, 2019

Cloudera provides a unified platform with multiple data apps and tools, big data management, hybrid cloud deployment flexibility, admin tools for platform provisioning and control, and a shared data experience for centralized security, governance, and metadata management.

Management 42

Management Metadata Analytics Machine Learning 42

AWS Big Data

NOVEMBER 6, 2023

Setup and Teardown tasks It’s common to build workflows that require ephemeral resources, for example an S3 bucket to temporarily store data, databases and corresponding datasets to run quality checks, or a compute cluster to train a model in a machine learning (ML) orchestration pipeline. Doing this manually is complex.

Metrics 107

Metrics Metadata Snapshot Management 107

Ontotext

DECEMBER 16, 2020

In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. The article also explains how enterprise knowledge graphs enable organizations to incorporate machine learning algorithms for the smart interpretation of their data.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52