AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 95

Cost-Benefit Visualization Modeling Machine Learning 95

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

datapine

SEPTEMBER 29, 2022

There are a lot of strategies that you can use to improve the quality of your information. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

APRIL 13, 2023

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

Modeling 85

Modeling Statistics Machine Learning Testing 85

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs? a call to action for all taxonomists.

Enterprise 59

Enterprise Management Metadata Modeling 59

Alation

APRIL 18, 2023

This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors. In summary, data profiling is a critical component of a comprehensive data governance strategy.

IT 52

IT Metadata Data Quality Data Governance 52

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 362

Marketing Experimentation Metrics Testing 362

AWS Big Data

FEBRUARY 24, 2023

Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. When the testing is correct, choose Send data. For this post, we create a Data Catalog database named icebergdemodb containing the metadata information of a table named customer , which will be queried through Athena.

Data Lake 85

Data Lake Metadata Testing Data Warehouse 85

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. You can test this solution yourself using the AWS Samples GitHub repository. 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

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. For instance, a dataset designated for testing might mistakenly be used for financial forecasting, resulting in poor predictions.

Metadata 91

Metadata Metrics Data-driven Modeling 91

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. In the next section, we dive into the optimal approach for deserialization.

Cost-Benefit 88

Cost-Benefit Metadata Structured Data Management 88

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity.

Cost-Benefit 95

Cost-Benefit Metadata Data Governance Reporting 95

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET).

Metadata 99

Metadata Modeling Data Processing Unstructured Data 99

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. Automatic sampling to test transformation. AI/ML models pose a problem with versioning results and testing using unique testing and algorithms.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

NOVEMBER 15, 2023

To compare the performance of the enrichment patterns, we ran performance testing based on synthetic data. The result of this test is useful as a general reference. Apache Flink is a distributed computation framework that allows for stateful real-time data processing. Only synchronous implementation as of Flink 1.17

Testing 92

Testing Optimization Management Metadata 92

AWS Big Data

JUNE 13, 2023

Organizations are working toward centralizing their identity and access strategy across all their applications, including on-premises and third-party. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. You don’t have to declare how much compute or storage is needed or monitor the system to make sure it’s running well.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

MARCH 11, 2024

Create a user-facing table in the Redshift cluster and use dot notation to unnest the JSON document from the streaming materialized view into data columns of the table. ORDERTOPIC" WHERE CAN_JSON_PARSE(kafka_value); The metadata column kafka_value that arrives from Amazon MSK is stored in VARBYTE format in Amazon Redshift.

Analytics 66

Analytics Data Warehouse Optimization Metrics 66

AWS Big Data

NOVEMBER 15, 2023

To compare the performance of the enrichment patterns, we ran performance testing based on synthetic data. The result of this test is useful as a general reference. Apache Flink is a distributed computation framework that allows for stateful real-time data processing. Only synchronous implementation as of Flink 1.17

Testing 52

Testing Optimization Management Metadata 52

CIO Business Intelligence

APRIL 7, 2022

With back-testing and cross-validation, we found that we’ve consistently been able to predict two-thirds of people about to resign, and save 10% to 20% of the ones we identified,” he says. Prior to the pandemic, new hires would read documentation, watch videos, and then sit in a classroom. Onboarding new hires faster with AI.

Consulting 145

Consulting Management Interactive Metadata 145

AWS Big Data

JUNE 9, 2023

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Refer to Working with other AWS services in the Lake Formation documentation for an overview of table format support when using Lake Formation with other AWS services.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

IBM Big Data Hub

APRIL 11, 2024

These include national strategies, agendas and plans; AI coordination or monitoring bodies; public consultations of stakeholders or experts; and initiatives for the use of AI in the public sector. For example, New York City published its own AI Action plan in October 2023, and formalized its AI principles in March 2024.

Risk 76

Risk Consulting Modeling Data Processing 76

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Cloudera and Cisco have tested together with dense storage nodes to make this a reality. . Collects and aggregates metadata from components and present cluster state.

Data Lake 98

Data Lake Cost-Benefit Testing Metadata 98

Cloudera

NOVEMBER 13, 2020

The commonly-accepted best practice in database system design for years is to use an exhaustive search strategy to consider all the possible variations of specific database operations in a query plan. Unlike most traditional SQL databases, Impala eschews these exhaustive search query optimization strategies to simplify query planning.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

OCTOBER 12, 2022

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Test hypotheses in order to draw conclusions about populations (for example, the relationship between Lifetime Value and Annual Revenue).

Statistics 52

Statistics Sales Testing Marketing 52

IBM Big Data Hub

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Cloudera

MAY 24, 2021

These include workload reviews, testing and validation, managing service-level agreements (SLAs), and minimizing workload unavailability during the move. . The age and hardware refresh cycle for legacy clusters is another important consideration when deciding on the in-place upgrade strategy. But, Spark 1.6

Metadata 79

Metadata Testing Snapshot Strategy 79

Domino Data Lab

AUGUST 8, 2019

The second rule of Foo Camp concerns a practice called “FrieNDA” where people speak candidly and others respect that without either (1) “Oh gosh I must live tweet stream this amazing insight” or (2) anybody having to sign legal documents. The gist is, leveraging metadata about research datasets, projects, publications, etc.,

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

JANUARY 17, 2023

Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. You can also create documentation or video tutorials. An example of a data science tool is Dataiku. 2) Get a data ingestion tool and connect your data sources.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Grooper

OCTOBER 23, 2019

Our business strategy is entirely depending on information management, and we view data as one of our most important products. A practical way to get started is to pick a business mission that clearly benefits from information governance and build out a strategy from there. Articulating strategy in terms of business outcome is key.

Metrics 59

Metrics Measurement Strategy Optimization 59

AWS Big Data

NOVEMBER 29, 2023

dbt lets data engineers quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, continuous integration and continuous delivery (CI/CD), and documentation. Materializations – Materializations are strategies for persisting dbt models in a warehouse.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106