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 72

Data Warehouse Data Processing Optimization Modeling 72

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 101

Statistics Data Lake Optimization Data-driven 101

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

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

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 133

Business Intelligence Dashboards Visualization Big Data 133

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 69

Digital Transformation Machine Learning Optimization Data Lake 69

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 89

Testing Interactive Metrics Management 89

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. String-optimized compression The Data Vault 2.0

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

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

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. Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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

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 102

Data Lake Sales Data Warehouse Snapshot 102

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. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The target accounts read data from the source account S3 buckets.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

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 104

Data Warehouse Reporting Risk Cost-Benefit 104

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 339

Management Machine Learning Experimentation Metrics 339

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. The Data Discovery and Exploration template contains the most commonly used services in search analytics applications. With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences.

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

AWS Big Data

MAY 21, 2024

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. The LINQ team exposes access to the OpenSearch Service index through a search API hosted on Amazon EC2.

Manufacturing 96

Manufacturing Sales Optimization Data Processing 96

AWS Big Data

JUNE 12, 2024

OpenSearch Service is a fully managed, open source search and analytics engine that helps you with ingesting, searching, and analyzing large datasets quickly and efficiently. Amazon SQS receives an Amazon S3 event notification as a JSON file with metadata such as the S3 bucket name, object key, and timestamp.

Dashboards 92

Dashboards Visualization Sales IoT 92

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The hardware certification includes high density nodes with close to 500 TB per node optimized for performance and TCO.

Management 70

Management Metadata Metrics Optimization 70

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . 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.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. Swisscom is a leading telecommunications provider in Switzerland. cluster = aws_redshift_alpha.Cluster( scope, cluster_identifier, #.

Data Architecture 91

Data Architecture Cost-Benefit Experimentation Management 91

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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 76

Metrics Visualization Measurement Optimization 76

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

As illustrated in the preceding figure, some domains are loosely coupled to other domains’ operational or analytical endpoints, with a different ownership. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

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 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

MARCH 26, 2024

We structure it in five pillars that power C360: data collection, unification, analytics, activation, and data governance, along with a solution architecture that you can use for your implementation. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record.

Slice and Dice 81

Slice and Dice Data Warehouse Metrics Metadata 81

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 86

Metadata Data Lake Strategy Optimization 86

Cloudera

APRIL 21, 2022

Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect. The centerpiece of MHS Genesis is Cerner’s Millennium services management platform, which provides hosted software-as-a-service functionality in the cloud. These are constants in the massive system.

Metadata 87

Metadata Informatics Insurance Data Processing 87

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

OpenSearch Service is a fully managed and scalable log analytics framework that is used by customers to ingest, store, and visualize data. The documents are gathered and then sent to your OpenSearch Service domain, where index templates map the structure into a schema optimized for Security Lake logs in OCSF format.

Publishing 85

Publishing Dashboards Visualization Management 85

Cloudera

MAY 6, 2021

However, while many organizations have established relationships with multiple cloud vendors to achieve a multi-cloud model, they are using advanced analytics solutions that introduce cloud and data silos that diminish the value of that model. Infrastructure Cost Optimization. Infrastructure Optimization . APAC (Singapore) .

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

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. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. . Machine learning-based process optimization .

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

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. Saiteja Pudi is a Solutions Architect at AWS, based in Dallas, Tx.

Reporting 87

Reporting Data Lake Management Optimization 87