AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

Octopai

OCTOBER 18, 2021

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! I will, of course, end up with a very amateurish finished product, because I used sub-optimal tools to do the job. That takes active metadata management.

Metadata 98

Metadata Management IT Data Quality 98

AWS Big Data

AUGUST 8, 2024

AppsFlyer empowers digital marketers to precisely identify and allocate credit to the various consumer interactions that lead up to an app installation, utilizing in-depth analytics. Partition projection in Athena allows you to improve query efficiency by projecting the metadata of your partitions.

Interactive 124

Interactive Metadata Optimization Testing 124

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata.

Optimization 129

Optimization Statistics Metadata Data Lake 129

AWS Big Data

NOVEMBER 19, 2024

Install and configure the AWS CLI The AWS Command Line Interface (AWS CLI) is an open source tool that enables you to interact with AWS services using commands in your command line shell. When you’re logged in, you can start interacting with the application. Make sure the function is already deployed and working in your account.

Data Processing 98

Data Processing Metadata Publishing Testing 98

AWS Big Data

DECEMBER 5, 2024

As the use of Hydro grows within REA, it’s crucial to perform capacity planning to meet user demands while maintaining optimal performance and cost-efficiency. Capacity monitoring dashboards As part of our platform management process, we conduct monthly operational reviews to maintain optimal performance.

Metrics 97

Metrics Dashboards Testing Optimization 97

AWS Big Data

MARCH 22, 2024

Trino is an open source distributed SQL query engine designed for interactive analytic workloads. When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and later, S3 file metadata-based join optimizations are turned on by default.

Metadata 118

Metadata Statistics Broadcasting Optimization 118

AWS Big Data

FEBRUARY 26, 2025

S3 Tables are specifically optimized for analytics workloads, resulting in up to 3 times faster query throughput and up to 10 times higher transactions per second compared to self-managed tables. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

NOVEMBER 3, 2023

You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard. The solution was developed with cost-optimization as a priority, but some resources in the stack will incur costs once deployed.

Metrics 114

Metrics Dashboards Metadata Visualization 114

Alation

MARCH 2, 2023

Well, we got jetpacks, too, but we rarely interact with them during the workday. With lots of data comes yet more calls for automation, optimization, and productivity initiatives to put that data to good use. Analysis, however, requires enterprises to find and collect metadata. What Is Active Metadata Management?

Metadata 52

Metadata Marketing IT Data Quality 52

O'Reilly on Data

MAY 21, 2019

Metadata and artifacts needed for audits. Machine learning often interacts and impacts users, so companies not only need to put in place processes that will let them deploy ML responsibly, they need to build foundational technologies that will allow them to retain oversight, particularly when things go wrong.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

FineReport

FEBRUARY 5, 2020

They prefer self-service development, interactive dashboards, and self-service data exploration. Good BI tools can achieve platform security, manage platform users, monitor access and usage, optimize performance, support operation in different operating systems, and ensure system’s high availability and disaster recovery.

Metadata 98

Metadata Dashboards Informatics Visualization 98

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. Software writes Software?

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Cloudera

FEBRUARY 22, 2022

By optimizing the various CDP Data Services, including CDW, CDE, and Cloudera Machine Learning (CML) with Iceberg, Cloudera customers can define and manipulate datasets with SQL commands, build complex data pipelines using features like Time Travel operations, and deploy machine learning models built from Iceberg tables.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Analytics 110

Analytics Dashboards Metadata Data Warehouse 110

Cloudera

OCTOBER 7, 2021

Data and Metadata: Data inputs and data outputs produced based on the application logic. Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. As mentioned above, one of the great benefits of business intelligence and analytics is the ability to make informed data-based decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

MAY 11, 2023

AI apps can gather data by analyzing user behavior and interaction. App analytics provide valuable insights that help identify bottlenecks, improve user experience, and optimize marketing campaigns. By optimizing your mobile app for voice search, you can provide a more convenient shopping experience for your customers.

Cost-Benefit 116

Cost-Benefit Data-driven Optimization Machine Learning 116

erwin

SEPTEMBER 3, 2020

Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data. We have to document how our systems interact, including the logical and physical data assets that flow into, out of and between them.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

AUGUST 3, 2021

Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk. Open source solutions reduce risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Smart Data Collective

APRIL 5, 2022

Companies working on AI technology can use it to improve scalability and optimize the decision-making process. It allows data scientists to log, store, share, compare and search important metadata that is used to build models for data science applications. It is highly popular among companies developing artificial intelligence tools.

Machine Learning 145

Machine Learning Cost-Benefit Data Science Unstructured Data 145

AWS Big Data

NOVEMBER 15, 2023

In this post, we demonstrate the following: Extracting non-transactional metadata from the top rows of a file and merging it with transactional data Combining multi-line rows into single-line rows Extracting unique identifiers from within strings or text Solution overview For this use case, imagine you’re a data analyst working at your organization.

Metadata 114

Metadata Sales Data Lake Big Data 114

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. from the business interactions), but if not available, then through confirmation techniques of an independent nature. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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 98

Metadata Data Lake Testing Consulting 98

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 128

Metrics Visualization Dashboards Publishing 128

Cloudera

SEPTEMBER 29, 2020

This benchmark is run on the Interactive Query HDInsight cluster using the latest version. Running on highly optimized Kubernetes engines, CDW can quickly and automatically scale up and down based on actual query workload, providing optimum utilization of cloud (public as well as private) resources and budget.

Data Warehouse 120

Data Warehouse Metadata Data-driven Machine Learning 120

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. But it is not routine. So, how do we fix this problem? This is the one metric that matters to your business right now.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

DECEMBER 10, 2024

billion data records in real-time every day, based on player interactions with its games. KAWAII KAWAII stands for Knowledge Assistant for Wiki with Artificial Intelligence and Interaction. The text, the vectors and the metadata of the chunks are stored in a database that can process vectors and calculate distances.

Data-driven 98

Data-driven Metadata Interactive KPI 98

AWS Big Data

NOVEMBER 27, 2023

Amazon Redshift already provides the capability of automatic table optimization (ATO), which automatically optimizes the design of tables by applying sort and distribution keys without the need for administrator intervention. Refer to Working with automatic table optimization for more details on ATO.

Data Warehouse 130

Data Warehouse Cost-Benefit Optimization Testing 130

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. 2) By workload type.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Smart Data Collective

JANUARY 5, 2021

Any data you obtain when someone interacts with your profile or content on LinkedIn, Facebook, Instagram, Twitter, or any other social media channel counts as social data. Click metadata can tell you what kinds of things they would like to see more. Specific metrics can vary from platform to platform. Lead Segmentation.

B2B 144

B2B Sales Big Data Marketing 144

AWS Big Data

MAY 31, 2024

This encompasses tasks such as integrating diverse data from various sources with distinct formats and structures, optimizing the user experience for performance and security, providing multilingual support, and optimizing for cost, operations, and reliability. Based on metadata, content is returned from Amazon S3 to the user.

Metadata 135

Metadata Data-driven Management Testing 135

Cloudera

JANUARY 15, 2021

Impala has a longstanding reputation for high performance and concurrency, low latency for interactive queries, and the CPU efficiency of it’s C++ backend with dynamic code generation based on LLVM. Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). Benchmark Description.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. The global catalog is also periodically fully refreshed to resolve issues during metadata sync processes to maintain resiliency.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

AWS Big Data

MAY 24, 2024

Its in-memory computing makes it great for iterative algorithms and interactive queries. The connector is built using the latest Spark Data Sources API V2, which uses Spark optimizations. Apache Spark is a powerful big data engine used for large-scale data analytics. Starting with Amazon EMR 7.1,

Metadata 118

Metadata Interactive Business Objectives Management 118

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Previously, P2 logs were ingested into the SIEM.

Insurance 129

Insurance Management Cost-Benefit Optimization 129