AWS Big Data

JUNE 15, 2023

AWS Glue crawlers provide a straightforward way to catalog data in the AWS Glue Data Catalog that removes the heavy lifting when it comes to schema management and data classification. AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current.

Data Lake 89

Data Lake Metadata Cost-Benefit Management 89

AWS Big Data

DECEMBER 13, 2023

The AWS Glue Studio visual editor is a low-code environment that allows you to compose data transformation workflows, seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine, and inspect the schema and data results in each step of the job.

Metadata 90

Metadata Data Lake Visualization Data Transformation 90

CIO Business Intelligence

OCTOBER 26, 2023

To earn your CBIP certification, you’ll need two or more years of full-time experience in CIS, data modeling, data planning, data definitions, metadata systems development, enterprise resource planning, systems analysis, application development, and programming or IT management.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. He specializes in building end-to-end analytic solutions.

Measurement 84

Measurement Dashboards Data Warehouse Analytics 84

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. Choose Create.

Data Lake 79

Data Lake Metadata Snapshot Management 79

Alation

FEBRUARY 13, 2020

These are all good questions and a logical place to start your data cataloging journey. This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Main features include the ability to access and operationalize data through the LookML library.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

erwin

OCTOBER 31, 2019

Enriching business data elements for sensitive data discovery: Comprehensively defining business data element for PII, PHI and PCI across database systems, cloud and Big Data stores to easily identify sensitive data based on a set of algorithms and data patterns.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Cloudera

MAY 5, 2021

It fills the scheduling gap while running Big Data workloads on Kubernetes, with a ton of useful features such as hierarchical queues, elastic queue quotas, resource fairness, and job ordering. What is Apache YuniKorn (Incubating)? Instead of directly assigning resources for an app’s pod, the scheduling procedure will be different.

Metadata 135

Metadata Machine Learning Big Data IT 135

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

AWS Big Data

MARCH 30, 2023

By containerizing your data processing tasks, you can simply deploy them into Amazon EKS as Kubernetes jobs and use Kubernetes to manage underlying computing compute resources. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS. We use the file emr-virtualcluster.yaml. We use the s3.yaml

Data-driven 73

Data-driven Metadata Testing Management 73

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). Definition and Descriptions. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

APRIL 4, 2023

And it definitely didn’t understand the Masters. To produce the spoken commentary during the tournament, the model taps into Masters “approved” data sources, including data from official providers – including shot data, scoring, stats, and of course, video – from a variety of the approved (trusted) sources.

Modeling 86

Modeling Consulting Metadata Enterprise 86

AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. 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.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

DECEMBER 12, 2023

Today, businesses and organizations require cost-effective and efficient ways to process large amounts of data. Amazon EMR Serverless is a cost-effective and scalable solution for big data processing that can handle large volumes of data. Athena uses the AWS Glue Data Catalog to store the table metadata.

Data Processing 92

Data Processing Management Statistics Interactive 92

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart DwH Mover helps in accelerating data warehouse migration.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

APRIL 25, 2024

First, let’s create an original table using the NOAA data. In subsequent steps, you ingest data from this table to create test tables. There are multiple ways to define a table definition: running DDL, an AWS Glue crawler, the AWS Glue Data Catalog API, and so on. There are two folders: data and metadata.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

Jet Global

JULY 2, 2019

HDInsight: When it comes to Big Data analysis, the open-source Hadoop framework remains one of the most popular options. Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. In The Case of the Deceptive Data, Holmes is approached by B.I. He goes on to explain: Reasons for inaccurate data. Big data is BIG.

Metadata 77

Metadata IT Unstructured Data IoT 77

IBM Big Data Hub

NOVEMBER 3, 2023

Update the Kubernetes secret definition by adding or removing fields or updating the referenced Secrets Manager CRN for a TLS secret. v1 kind: Ingress metadata: annotations: kubernetes.io/ingress.class: Update Update the configuration of a domain. Update an ALB version for a specific ALB. ingress.class: public-iks-k8s-nginx // 2.

Data Processing 76

Data Processing Metadata Management Testing 76

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

IBM Big Data Hub

APRIL 13, 2023

WITH DATA Count the number of rows in the sample table. SELECT count (*) FROM FLIGHT.FLIGHTS_DATA — — — 99879 Look into the scheme definition of the table. Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model.

Modeling 89

Modeling Statistics Machine Learning Testing 89

AWS Big Data

MARCH 13, 2024

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

Sisense

JULY 24, 2019

In this mode, the user avoids putting too much effort into the definition of a specific search, and instead, relies on a random exploration path with the assisted exploration of NLQ. For new vendors in the analytics market, one of the most obvious challenges is the absence of historical data. Using AI to its Fullest.

Analytics 89

Analytics Experimentation Metadata Big Data 89

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

erwin

DECEMBER 20, 2018

The evolution from Data Governance 1.0 to Data Governance 2.0 But to ensure the collaborative take on data governance is implemented properly, an organization must settle on a common definition. The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

AWS Big Data

NOVEMBER 22, 2023

AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata. AWS Glue crawlers now support Apache Hudi tables , simplifying the adoption of AWS Glue Data Catalog as the catalog for Hudi tables.

Data Lake 95

Data Lake Snapshot Metadata Optimization 95

TDAN

JUNE 30, 2020

About a week ago, I was teaching a data modeling class, and an attendee asked me to explain the concept of a data catalog. Like a lot of hype-related terms in IT, there is more than one definition. However, I had recently read the book, The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics by […].

Modeling 52

Modeling Analytics Data Architecture IT 52

AWS Big Data

OCTOBER 4, 2023

Business-driven domains – A DataZone domain represents the distinct boundary of a line of business (LOB) or a business area within an organization that can manage its own data, including its own data assets, its own definition of data or business terminology, and may have its own governing standards.

Metadata 103

Metadata Data Lake Publishing Data Governance 103

Alation

OCTOBER 5, 2021

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1). Roadblock #2: Data problems and inconsistencies.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Domino Data Lab

JULY 22, 2019

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. I definitely want to provide some shout-outs. In data science, definitely, there are other people who’ve talked more about that and we’ll point to them. There’s nothing common.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

SEPTEMBER 13, 2023

The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. We use the following terminology when discussing File Processor: Refresh cadence – This represents the data ingestion frequency (for example, 10 minutes). Create an AWS DMS task.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

AUGUST 31, 2023

Iceberg stores the metadata pointer for all the metadata files. When a SELECT query is reading an Iceberg table, the query engine first goes to the Iceberg catalog, then retrieves the entry of the location of the latest metadata file, as shown in the following diagram. The following example demonstrates this.

Data Lake 95

Data Lake Data Warehouse Metadata Data Architecture 95

AWS Big Data

JUNE 22, 2023

By partitioning your data, you can restrict the amount of data scanned by downstream analytics engines, thereby improving performance and reducing the cost for queries. Partitions are data organized hierarchically, defining the location where the data for a particular partition resides.

Metadata 82

Metadata Management Recreation/Entertainment Optimization 82

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Note that the materialized view definition contains the ‘stored by iceberg’ clause. Such a query pattern is quite common in BI queries.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

IBM Big Data Hub

OCTOBER 4, 2023

Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data. And AI, both supervised and unsupervised machine learning, is often the best or sometimes only way to unlock these new big data insights at scale.

Data Lake 84

Data Lake Metadata Cost-Benefit Data Warehouse 84