AWS Big Data

MARCH 9, 2023

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Slice and Dice 84

Slice and Dice Dashboards Analytics Interactive 84

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog.

Data Lake 82

Data Lake Metadata Snapshot Management 82

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. To provide the CM host we can copy the FQDN of the node where Cloudera Manager is running.

Snapshot 112

Snapshot Data Processing Metadata Management 112

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Apache Hive, Apache Spark, Presto, and Trino can all use a Hive Metastore to retrieve metadata to run queries.

Data Lake 84

Data Lake Metadata Data Processing Big Data 84

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 98

Testing Metadata Data Processing Machine Learning 98

AWS Big Data

MARCH 29, 2024

An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. The sample dashboard showed metrics over time, top errors, and comparative job analytics. He is passionate about building scalable distributed systems for big data processing, analytics, and management.

Metrics 111

Metrics Visualization Dashboards Interactive 111

Ontotext

SEPTEMBER 15, 2020

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. This means having the ability to define and relate all types of metadata. Maximize the usability of your data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

AUGUST 3, 2023

This feature lets users query AWS Glue databases and tables in one Region from another Region using resource links, without copying the metadata in the Data Catalog or the data in Amazon Simple Storage Service (Amazon S3). A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 89

Data Lake Metadata Management Data Processing 89

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

JULY 15, 2021

Best of CDH & HDP, with added analytic and platform features . All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. Kerberos is used as the primary authentication method for cluster services composed of individual host roles and also typically for applications.

Data Processing 97

Data Processing Metadata Testing Management 97

Cloudera

FEBRUARY 17, 2022

CDP is an easy, fast, and secure enterprise analytics and management platform with the following capabilities: Enables ingesting, managing, and delivering of any analytics workload from Edge to AI. Provides self-service access to integrated, multi-function analytics on centrally managed and secured business data.

Testing 96

Testing Data Processing Metadata Management 96

Cloudera

JANUARY 19, 2024

Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services. The model can run locally, be hosted on CML infra or in the infrastructure of a trusted service provider. You must have an AWS account with Bedrock access before following these steps.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

CIO Business Intelligence

JUNE 6, 2023

Here are three examples of organizations that unlocked increased value from hybrid data models: A large African telecommunications company was able to build up its analytics once and then deploy them on whatever infrastructure was available in the specific country of the African continent. Where are those analytics best deployed?

Insurance 52

Insurance Metadata Data Processing Machine Learning 52

Smart Data Collective

APRIL 14, 2021

The proper use of business intelligence and analytical data is what drives big brands in a competitive market. This is a self-service analytical platform for business users. Once your analytics team gets it up and running, it can be easy to use by anyone in your business. It comes with embedded dashboards privately and publicly.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

erwin

APRIL 2, 2021

That’s especially true as the data-driven enterprise momentum grows along with self-service analytics that enable users to have greater access to information, often using it without IT’s knowledge.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

datapine

SEPTEMBER 29, 2022

quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. Args: region (str): AWS region where the MWAA environment is hosted. Args: region (str): AWS region where the MWAA environment is hosted.

Testing 91

Testing Interactive Metrics Management 91

Ontotext

NOVEMBER 22, 2020

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views. The target accounts read data from the source account S3 buckets.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

MARCH 10, 2023

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. AWS provides flexibility and a wide breadth of features to ingest data, build AI and ML applications, and run analytics workloads without having to focus on the undifferentiated heavy lifting.

Data Lake 108

Data Lake Sales Data Warehouse Snapshot 108

AWS Big Data

NOVEMBER 22, 2023

When talking with our customers, we learned that one the challenging aspect of data lake performance is how to optimize these analytics queries to execute faster. Refer to Docs for support for Glue Catalog Statistics across various AWS analytical services. We’ll query these tables using Amazon Athena and Amazon Redshift Spectrum.

Statistics 106

Statistics Data Lake Optimization Data-driven 106

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 79

Metadata Data Lake Data Processing Data-driven 79

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Octopai

JANUARY 31, 2021

The host is Tobias Macey, an engineer with many years of experience. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Currently, he is in charge of the Technical Operations team at MIT Open Learning. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml We use the s3.yaml

Data-driven 75

Data-driven Metadata Testing Management 75

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 110

Management Metadata Analytics Dashboards 110

Alation

FEBRUARY 20, 2020

What the mapping is of technical metadata to business descriptions. Alation Connect synchronizes metadata, sample data, and query logs into the Alation Data Catalog. We also recently announced support for the Teradata Unified Data Architecture, including QueryGrid and Teradata Aster Analytics. How recently the data was used.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Data Champions: OVO (PT Visionet Internasional) — Using advanced, intelligent data analytics and machine learning to increase customer conversion rates. SECURITY AND GOVERNANCE LEADERSHIP. DATA FOR GOOD.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Sentry service serves authorization metadata from the database backed storage; it does not handle actual privilege validation.

Data Lake 69

Data Lake Metadata Unstructured Data Management 69

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability. Automatic WLM manages the resources required to run queries.

Enterprise 89

Enterprise Data Warehouse Snapshot Cost-Benefit 89

Octopai

NOVEMBER 24, 2021

If I’m a dinner host extraordinaire and actually use both sets of china, the extra resources spent moving the second one are a necessary investment. Additionally, Octopai’s data flow lineage is fully aligned with the detailed Amazon Redshift metadata repository, including any object defined in an Amazon Redshift database.

Data Warehouse 73

Data Warehouse Metadata Data Processing Reporting 73

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. If you plan to migrate existing metadata from your previous environments to the new one, perform the export and import steps detailed in Migrating to a new Amazon MWAA environment. environment. environment.

Testing 106

Testing Experimentation Management Metadata 106

AWS Big Data

JULY 14, 2023

This post provides a simple and quick way of building an extendable analytical system using Amazon QuickSight to better manage lines of business (LOBs) with a detailed list of business capabilities and APIs, deep analytical insights, and desired graphical visualizations from different dimensions.

Modeling 74

Modeling Visualization Reporting Measurement 74

AWS Big Data

APRIL 17, 2024

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. As your operational analytics data velocity and volume of data grows, bottlenecks may emerge.

Optimization 118

Optimization Snapshot Metadata Cost-Benefit 118

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. You might have millions of short videos , with user ratings and limited metadata about the creators or content. If you can’t walk, you’re unlikely to run.

Management 332

Management Machine Learning Experimentation Metrics 332

Alation

APRIL 14, 2023

For those unfamiliar with Star Trek, Spock is known for his logical, analytical, and unemotional approach to making decisions – making him an ideal advisor in high-pressure situations. Patil also highlighted the need for pragmatic, data-driven leadership, saying “Every boardroom needs a Spock.”

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52