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 88

Testing Interactive Metrics Management 88

AWS Big Data

NOVEMBER 22, 2023

These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings. The data lake performance optimization is especially important for queries with multiple joins and that is where cost-based optimizers helps the most.

Statistics 102

Statistics Data Lake Optimization Data-driven 102

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data. Organizations often need to manage a high volume of data that is growing at an extraordinary rate.

Data Lake 114

Data Lake Analytics Dashboards Metrics 114

Smart Data Collective

APRIL 14, 2021

Tableau is the right tool for creating rich, in-depth analytics or dashboards that can be optimized for tablets, phones, and desktops. it offers data connectors, visualization layers, and hosting all in one package, making it ideal for teams that are data-driven with limited resources.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

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. Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

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. All connections allow for Alation Data Catalog to automatically inventory & catalog queries and these engines may be hosted and operated on-premise or in the cloud.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Ontotext

NOVEMBER 22, 2020

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. Content Enrichment and Metadata Management. The value of metadata for content providers is well-established.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status.

Slice and Dice 79

Slice and Dice Dashboards Analytics Interactive 79

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

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. This is essential to measure and optimize this time, as it has many repercussions on the success of a business. Metadata management: Good data quality control starts with metadata management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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 96

Analytics IoT Metadata Internet of Things 96

Cloudera

NOVEMBER 12, 2020

Burst to Cloud not only relieves pressure on your data center, but it also protects your VIP applications and users by giving them optimal performance without breaking your bank. Today, it is nearly impossible for IT departments to know if a particular workload is optimal to move from on-premises to the cloud.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

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. The transformed zone is an enterprise-wide zone to host cleaned and transformed data in order to serve multiple teams and use cases. Data can be organized into three different zones, as shown in the following figure.

Data Lake 104

Data Lake Sales Data Warehouse Snapshot 104

Laminar Security

NOVEMBER 16, 2023

You can then use CSPM to check if your cloud resources that host or access this data are securely configured and comply with the relevant regulations or standards. While SIEM helps you collect and analyze security data from various sources, DSPM’s byproduct (metadata) helps you to further analyze security info from your cloud data.

Risk 59

Risk Cost-Benefit Dashboards Management 59

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.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

SEPTEMBER 1, 2020

With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences. Coordinates distribution of data and metadata, also known as shards. Files that support Solr, such as Lucene index files and write-ahead logs, are also stored in HDFS. Includes a drag-n-drop style, GUI-based Search Dashboard Designer.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

Cloudera

JANUARY 15, 2021

Pushing down column predicate filters to Kudu allows for optimized execution by skipping reading column values for filtered out rows and reducing network IO between a client, like the distributed query engine Apache Impala, and Kudu. One of the ways Apache Kudu achieves this is by supporting column predicates with scanners. Before 7.1.5,

Optimization 68

Optimization Broadcasting Testing Metadata 68

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. The hardware certification includes high density nodes with close to 500 TB per node optimized for performance and TCO. Optimize the Ozone Client to Ozone Manager protocols for reduced network round trips.

Management 69

Management Metadata Metrics Optimization 69

IBM Big Data Hub

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context. Logs help monitor the overall health of an application ecosystem.

Metrics 85

Metrics Visualization Measurement Optimization 85

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. On deck this time ’round the Moon: program synthesis. SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. For orchestration, they use the AWS Cloud Development Kit (AWS CDK) for infrastructure as code (IaC) and AWS Glue Data Catalogs for metadata management.

Data-driven 86

Data-driven Advertising Metadata Data Architecture 86

Cloudera

JANUARY 21, 2021

By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model. CDW implements a true win-win architecture, for all stakeholders’ and all data involved.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service. These are constants in the massive system.

Metadata 84

Metadata Informatics Insurance Data Processing 84

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

MARCH 9, 2023

However, declaring them will help the optimizer arrive at optimal query plans, provided that the data loading processes enforce their integrity. SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record. In the case of Amazon Redshift, uniqueness, primary key, and foreign key constraints are not enforced.

Slice and Dice 80

Slice and Dice Data Warehouse Metrics Metadata 80

AWS Big Data

JULY 20, 2023

This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK). Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

Cloudera

AUGUST 16, 2021

Users access the CDF-PC service through the hosted CDP Control Plane. The CDP control plane hosts critical components of CDF-PC like the Catalog , the Dashboard and the ReadyFlow Gallery. This will create a JSON file containing the flow metadata. and later). Figure 3: Export a NiFi process group from an existing cluster.

Dashboards 118

Dashboards Metrics KPI Data-driven 118

Cloudera

MAY 6, 2021

Infrastructure Cost Optimization. Infrastructure Optimization . Infrastructure Optimization. Replication Manager: A mechanism that helps migrating workloads between clouds and form factors (CDP Private and Public Cloud) and metadata with minimal effort. Germany (Primary Market) . North America (US East Region).

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

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 can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

AUGUST 28, 2023

By converting logs and events using Open Cybersecurity Schema Framework , an open standard for storing security events in a common and shareable format, Security Lake optimizes and normalizes your security data for analysis using your preferred analytics tool. For sts_role_arn , enter the ARN of pipeline-role. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JUNE 19, 2023

Understanding the event data found in Security Lake Security Lake stores the normalized OCSF security events in Apache Parquet format —an optimized columnar data storage format with efficient data compression and enhanced performance to handle complex data in bulk. Steps 1–2 are managed by Security Lake; steps 3–5 are managed by the customer.

Publishing 85

Publishing Dashboards Visualization Management 85

CIO Business Intelligence

JUNE 14, 2023

When adding more storage nodes, it is important to ensure that the capacity addition is more optimal and efficient. This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

AUGUST 21, 2020

Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Machine learning-based process optimization . E.g. HDFS ACLs, metadata authorization hooks, and dependencies that may lead to risks, exposures, failures later on. Step 5: Workload Migration & Performance Optimization.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data.

Reporting 86

Reporting Data Lake Management Optimization 86