AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. Generate Spark SQL metadata Our batch job consists of Hive steps scheduled to run sequentially.

Metadata 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current. Today, AWS Glue crawler support has been expanded to automatically add partition indexes for newly discovered tables to optimize query processing on the partitioned dataset.

Data Lake 89

Data Lake Metadata Cost-Benefit Management 89

CIO Business Intelligence

FEBRUARY 14, 2024

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. This ITSM, ITIL style of discipline and portfolio management is going to come back because you definitely need that level of discipline for this new workload.”

IT 143

IT Metadata Data-driven Management 143

Octopai

FEBRUARY 8, 2020

Although it was only one of many Mars mission failures in the history of space travel, it was one that easily could have been prevented by achieving the optimal set of equipment and communication to power space travel. . The solution is a comprehensive automated metadata platform. And the bottom line? Essential to compliance for GDPR.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Cloudera

MARCH 14, 2023

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog. Any flow definition in the Catalog can be executed as a deployment or a function.

Testing 81

Testing Publishing Metadata Interactive 81

Alation

SEPTEMBER 21, 2021

Compare this story to what we have today: smartphones with traffic navigation apps that provide us with turn-by-turn directions that continuously try to find the optimal path based on traffic conditions on the route being traveled. It is people, process, technology, and data — more importantly, metadata. Data Intelligence Benefits.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

erwin

AUGUST 6, 2020

Data Literacy Definition. It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Cloudera

AUGUST 3, 2021

The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. . Those on their digital transformation journey are very aware of additional risk factors when optimizing their supply chain. Digital Transformation is not without Risk.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. This way, you make sure there is a common understanding of data definitions that are being used across the organization. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

JULY 27, 2021

Metazoa CEO Jennifer Mercer doesn’t think that either of those definitions is very helpful, especially when it comes to Salesforce. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer. Visualize the problem. Unused assets.

Big Data 131

Big Data Snapshot IT Dashboards 131

Smart Data Collective

APRIL 14, 2021

It also allows you to create your data and creating consistent dataset definitions using LookML. Tableau is the right tool for creating rich, in-depth analytics or dashboards that can be optimized for tablets, phones, and desktops. It is made for use by analysts and offers an optimized SQL editing experience to facilitate fast coding.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

Cloudera

JANUARY 19, 2024

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This will expand the SQL AI toolbar with buttons to generate, edit, explain, optimize and fix SQL statements. After using edit, optimize, or fix, a preview shows the original query and the modified query differences.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

Ontotext

MARCH 29, 2021

Vassil Momtchev: RDF-star (formerly known as RDF*) helps in every case, where the user needs to express a complex relationship with metadata associated for a triple like: 1. << Technically speaking, RDF-star is the syntactic sugar, which makes it easier to attach metadata to edges in the graph. source :TheNationalEnquirer ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

Ontotext

JANUARY 6, 2021

Once that is done, data can be transformed and enriched with metadata to facilitate analysis. You can apply graph optimizations or operations such as traversals and transformations. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

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. After careful consideration, you’ve decided that employing an Ingress Controller — specifically an ALB — is the optimal choice to serve as the API gateway for your team’s requirements.

Data Processing 76

Data Processing Metadata Management Testing 76

Octopai

OCTOBER 11, 2021

Data needs to be accompanied by the metadata that explains and gives it context. Without metadata, data is just a bunch of meaningless, unspecified numbers or words that are about as useful as a bunch of rocks (or shells). And without effective metadata discovery capabilities, metadata isn’t all that useful either.

Metadata 90

Metadata Data Collection Optimization IT 90

Cloudera

AUGUST 31, 2021

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 Schema Optimizer helps in migrating and creating schemas on CDW by leveraging Hive Metastore. Consideration of both data & metadata in the migration.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. 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. An AWS Glue job (metadata exporter) runs daily on the source account.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. 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

Jet Global

JULY 2, 2019

With the Microsoft HDInsight platform, open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, HBase, Microsoft ML Server & more can be applied to your data lakes via preconfigured clusters optimized for different big data scenarios. Future-Proofing your Data. Data lakes represent a new frontier for businesses.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

DataRobot Blog

MAY 10, 2022

With this definition of model risk, how do we ensure the models we build are technically correct? Through DataRobot’s AI Catalog , the modeler is able to register datasets that will subsequently be used to build a model and annotate it with the appropriate metadata that describes the datasets’ function, origin, as well as intended use.

Risk 64

Risk Modeling Machine Learning Data Quality 64

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. The Challenges of Getting NLQ Up and Running. For new vendors in the analytics market, one of the most obvious challenges is the absence of historical data.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Alation

OCTOBER 5, 2021

For organizations to succeed in monitoring, managing, and optimizing their data resources, they must always keep the importance of their data-driven initiatives at the top of all strategic planning agendas. For more information on developing an optimized data governance strategy, contact Alation today. [1] Data governance and AI.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

NOVEMBER 22, 2023

Hudi provides tables , transactions , efficient upserts and deletes , advanced indexes , streaming ingestion services , data clustering and compaction optimizations, and concurrency control , all while keeping your data in open source file formats. One typical use case is to register Hudi tables, which does not have catalog table definition.

Data Lake 95

Data Lake Snapshot Metadata Optimization 95

Cloudera

AUGUST 30, 2018

How can I optimize my rate of return and continue to drive innovation? You know by now that Cloudera Enterprise is the modern platform for machine learning and analytics optimized for the cloud. We’re excited to see how CIO’s and CDO’s optimize existing and create new usage models with Cloudera Enterprise 6. Tough decisions.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Cloudera

SEPTEMBER 1, 2020

Coordinates distribution of data and metadata, also known as shards. The advantage of CDP and its separated, yet integrated, architecture is of course that you can scale and maintain every part of the data lifecycle and pipeline with the best-optimized resources and capacity for the task in the workflow at hand.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

Cloudera

NOVEMBER 13, 2020

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142

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

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. For many organizations, however, the question remains, “Is it the right solution for us?” million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Alation

JANUARY 26, 2023

Do they have a system to manage the metadata for given assets? Bear the following points in mind when doing so: Consider critical data based on function You’ll have data that is essential for optimizing your customer support. Offer the right tools Data stewardship is greatly simplified when the right tools are on hand.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Ontotext

SEPTEMBER 7, 2023

Doug : Definitely. I could see a ton of use cases in the digital world where you are trying to do things like understand buyer behavior or even website optimization – what are people clicking on, or are there patterns that people click on and then abandon? Would you agree? Have you heard of it? Malcolm : Okay.

Technology 59

Technology Visualization Digital Transformation Management 59

Cloudera

FEBRUARY 8, 2024

Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. Note that the materialized view definition contains the ‘stored by iceberg’ clause. Materialized views can be partitioned on one or more columns.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

AWS Big Data

JUNE 22, 2023

If you simply run queries without considering the optimal data layout on Amazon S3, it results in a high volume of data scanned, long-running queries, and increased cost. Partitioning is a common technique to lay out your data optimally for distributed analytics engines. We also can see the partition metadata on the AWS Glue console.

Metadata 82

Metadata Management Recreation/Entertainment Optimization 82

Octopai

FEBRUARY 21, 2022

An important stage of this local-level planning is constructing a map of your current data environment and data flow – and then optimizing it. An automated data catalog will not only self-create but will also self-update, routinely reviewing all metadata within your data landscape and updating your data catalog accordingly.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

Cloudera

OCTOBER 28, 2020

Cons: Harder to implement with schema definition. These variables that are extracted will be attached as metadata to the outgoing flowfile, so only extract what is needed. Logs are ingested and converted to records, These records are then searched upon using SQL. Benefits: Preferred method for high performances.

Cost-Benefit 64

Cost-Benefit Metadata Consulting Testing 64

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. And with this new definition, over 80% of the early adopters were using the application regularly. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

erwin

DECEMBER 17, 2020

By having a single definition of something, complex ETL doesn’t have to be performed repeatedly. Once something is defined, then then everyone can map to the standard definition of what the data means. Cloud migration and other data platform modernization efforts: definition is missing here.

Modeling 90

Modeling Metadata Data-driven Data Lake 90