Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog. Benchmark Configuration.

Data Warehouse 110

Data Warehouse Metadata Machine Learning Measurement 110

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Consumers have grown more and more immune to ads that aren’t targeted directly at them. Your Chance: Want to try a professional BI analytics software?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Cloudera

FEBRUARY 17, 2022

One of our previous blogs discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we deep dive into the mechanics of running an in-place upgrade from HDP3 to CDP Private Cloud Base. CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP).

Testing 101

Testing Data Processing Metadata Management 101

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). Introduction. dbt end-to-end SDLC on CDP Open Lakehouse.

Data Warehouse 81

Data Warehouse Data Transformation Machine Learning Data Lake 81

AWS Big Data

MAY 4, 2023

The Met Office would like to enable consumers to make the more of their data to help inform critical decisions on addressing issues such as better preparation for climate change-induced wildfires and floods, and reducing food insecurity through better crop yield analysis.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

AWS Big Data

MAY 24, 2024

You can use Apache Spark to process streaming data from a variety of streaming sources, including Amazon Kinesis Data Streams for use cases like clickstream analysis, fraud detection, and more. Apache Spark is a powerful big data engine used for large-scale data analytics. Starting with Amazon EMR 7.1, Starting with Amazon EMR 7.1,

Metadata 119

Metadata Interactive Business Objectives Management 119

Cloudera

AUGUST 24, 2022

CML users are able to use their desired programming language and version, as well as install any other packages or libraries that are required for their project. CML administrators can now create and add custom runtimes with all their required packages and libraries, including multiple new editors. Prerequisites. Prerequisites.

Machine Learning 83

Machine Learning Metadata Testing Data Science 83

Domino Data Lab

JANUARY 21, 2021

This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the limitations of such tools in their ability to completely subsume the core tasks required of data science professionals and statistical researchers.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Cloudera

APRIL 1, 2024

Our cutting-edge Shared data experience (SDX) service provides a unified control plane for common security, governance and metadata management on all structured and unstructured data. Cloudera has over 25 Exabytes of high-value business data under management, making us one of the larger data hyperscalers in this MQ.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. ZS is a management consulting and technology firm focused on transforming global healthcare. Evidence generation is rife with knowledge management challenges.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

Ontotext

SEPTEMBER 15, 2020

There is only one thing that the IT industry likes more than a clever acronym. However, Data Fabric is not an application or software package but a set of design principles and strategies to deal with the very real and concrete truth that centralized data storage and control is gone. What Makes a Data Fabric? It is a buzzword.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Ontotext

MARCH 13, 2024

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. OMDS shows the collections of all the documents we currently have, such as blog posts, events, news articles, etc. What is OTKG? The behind-the-scenes interface Let’s see how this works.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

AWS Big Data

AUGUST 6, 2024

At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata. Amazon MWAA offers one-click updates of the infrastructure for minor versions, like moving from Airflow version x.4.z

Cost-Benefit 111

Cost-Benefit Metadata Snapshot Metrics 111

Cloudera

SEPTEMBER 30, 2021

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. CDP Upgrade.mp4 .

Metadata 73

Metadata Testing Management Data-driven 73

Sisense

MAY 18, 2020

YL: We’re interested in metadata. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

IBM Big Data Hub

JUNE 12, 2023

Public cloud support: Many CSPs use hyperscalers like AWS to host their 5G network functions, which requires automated deployment and lifecycle management. Evolving standards: New and evolving standards like Open RAN adoption require continuous updates and automated testing. that are required by the network function.

Testing 66

Testing Data Processing Metadata Management 66

Alation

FEBRUARY 18, 2021

On top of that, conflicts occur due to libraries and accessed resources on the filesystem, like Kerberos configuration. Depth comes in many forms, but much of it is powered by three forms of metadata: technical, behavioral, and provenance. Mitesh: Can you discuss what is going on “underneath the hood” to make the platform work?

Metadata 52

Metadata Dashboards Data Governance Marketing 52

Alation

FEBRUARY 7, 2023

The product collected an impressive amount of metadata, from the user interface to the database structure. It then translated all that metadata into an image resembling a spider’s web. I now realize that it was integration with a data catalog like Alation. There was just one problem: the image was incredibly complex.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Ontotext

SEPTEMBER 2, 2020

In the case of concrete, it meant Visigoths in your forum running off with the imperial treasure and the inability to create long-lasting vital infrastructure like aqueducts and harbors for a millennium. Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

SEPTEMBER 15, 2022

While all of this may sound like a marketing mouthful, there are some genuinely interesting new concepts here. The data products are packaged around the business needs and in support of the business use cases. Luke: What is a modern data platform? The high-level architecture shown below forms the backdrop for the exploration.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Ontotext

NOVEMBER 22, 2020

From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs. GraphQL’s JSON-like syntax will be familiar to developers and is part of the reason for its growth in popularity. You want to start at the very tip of the universe’s innovation.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

JULY 25, 2023

This is a guest blog post co-written with Zack Rossman from Alcion. In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, and so on) to select specific item versions for restore. OpenSearch is an Apache-2.0-licensed, OpenSearch is an Apache-2.0-licensed,

Cost-Benefit 97

Cost-Benefit Modeling Management Optimization 97

Alation

MARCH 21, 2023

This can transform a would-be bad experience into a positive one, making people less likely to leave bad reviews (and more likely to recommend the airline to others). What is big data in the travel and tourism industry? What types of data are collected? Travel organizations collect different data using various sources.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

JULY 20, 2023

Amazon EMR streamlines the process of loading all required Iceberg packages and dependencies, ensuring that the data is stored in Apache Iceberg format and ready for consumption as quickly as possible. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. To overcome these issues, Orca decided to build a data lake.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Ontotext

MARCH 18, 2020

Finally, they combine classical technologies like data governance and data management with modern analytics. Consequently, many data leaders today are striving to overcome these barriers by streamlining their enterprise knowledge management processes and practices. Why Enterprise Knowledge Graphs? Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

MARCH 23, 2023

With an unprecedented amount and diversity of data coming from various sources, it’s like trying to put together a picture with pieces from different puzzles. While the topic has gotten a lot of buzz, a data fabric is not a specific application or software package you download and solve all your data management challenges.

Management 52

Management Metadata Unstructured Data Data Integration 52

erwin

MAY 18, 2022

Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment. Another exuberant 12.0 One is used to feed and accelerate the other.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Ontotext

MAY 22, 2023

Still, LLMs have a role to play – they can make our text analysis pipelines much more efficient for tasks like sentiment analysis, classification and event detection. What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. What Are the Biggest Drivers of Cloud Data Warehousing?

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

Cloudera

MARCH 15, 2023

The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing. In this post I am going to set up a demo environment with a Spring Boot microservice and a streaming cluster using Cloudera Public Cloud. PaymentService).

Data-driven 91

Data-driven Snapshot Publishing Metadata 91

Cloudera

MAY 22, 2018

Data scientists often develop models using a variety of Python/R open source packages. save the built model container, along with metadata like who built or deployed it. x versions; for package-based deployments: Cloudera Manager 5.11 appeared first on Cloudera Blog. Simplified user administration. or higher 5.x

Data Science 41

Data Science Snapshot Machine Learning Data Warehouse 41

Cloudera

APRIL 23, 2021

To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata. To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata.

Data Processing 73

Data Processing Metadata Testing Management 73

Alation

FEBRUARY 17, 2023

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. Attendance was high, as were the number of excellent questions. Yes, it is possible to have data management without data governance.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

MARCH 8, 2023

We would like to be able to quickly answer questions like: Who is our repeat customer in North America over the last 10 years?” For many organizations, however, the question remains, “Is it the right solution for us?” We get this question regularly. How do we get better with understanding our customers? million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

NOVEMBER 23, 2023

Bulk validation is great when data comes together nicely as one big package. The clear graph approach The original approach leverages the fact that SHACL shapes are just like any other RDF data. As far as standards go, SHACL is young. Work on it began in 2015 and achieved W3C Recommendation status in mid-2017. All is well.

Data Quality 69

Data Quality Reporting Metadata Big Data 69

Andrew White

JANUARY 9, 2022

But in general I believe our tam would suggest that a data mesh is like a data fabric but without the self-learning add. I would like to know if there are organizations to promote AI at the level of the Central Government and Small companies. Here is the link to the replay, in case you are interested. – Yes indeed.

Analytics 64

Analytics Measurement Data-driven Modeling 64