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

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 56

Metadata Data Lake Machine Learning Big Data 56

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. AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, move, and integrate data from multiple sources.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

FEBRUARY 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Choose the table to view the schema and other metadata.

Metadata 77

Metadata Data Lake Machine Learning Management 77

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.

Dashboards 98

Dashboards Analytics Metadata Data Warehouse 98

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 94

Metadata Statistics Broadcasting Optimization 94

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Let’s dive into the highlights.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

AWS Big Data

APRIL 25, 2024

However, as data volumes continue to grow, optimizing data layout and organization becomes crucial for efficient querying and analysis. By partitioning data, downstream analytical queries can skip irrelevant partitions, reducing the amount of data that needs to be scanned and processed.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

Cloudera

DECEMBER 21, 2023

Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error. Optimizing any query Sometimes we are looking at a query that just seems overly complex. What a nightmare!

Optimization 66

Optimization Sales Data Warehouse Measurement 66

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. You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data.

Data Lake 117

Data Lake Analytics Dashboards Metrics 117

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 104

Data Lake Analytics Cost-Benefit Management 104

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. These are some much sought-after improvements that simplify your metadata discovery using crawlers.

Data Lake 94

Data Lake Metadata Data Governance Statistics 94

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

AWS Big Data

NOVEMBER 3, 2023

Although we don’t cover optimizing your jobs for costs in this post, you can refer to Monitor and optimize cost on AWS Glue for Apache Spark to learn how to fine-tune your AWS Glue jobs for performance, efficiency ,and cost-optimization. Let’s dive in! Now let’s dig into the technical details involved in this solution.

Metrics 91

Metrics Dashboards Metadata Visualization 91

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 89

Data Lake Analytics Snapshot Optimization 89

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 100

Metadata Metrics Testing Management 100

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

JANUARY 8, 2024

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, and dynamic pricing.

Analytics 116

Analytics IoT Data-driven Snapshot 116

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. Read optimized queries – For MoR tables, queries see the latest data compacted.

Data Lake 97

Data Lake Snapshot Metadata Optimization 97

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. This method uses GZIP compression to optimize storage consumption and query performance. For Database , choose location-analytics-glue-database. Choose Run.

Analytics 99

Analytics IoT Metadata Internet of Things 99

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. The output will give a count of the number of data and metadata files deleted.

Snapshot 105

Snapshot Data Lake Metadata Optimization 105

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Smart Data Collective

AUGUST 25, 2020

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

Data mining 109

Data mining Metadata Big Data ROI 109

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. They should also provide optimal performance with low or no tuning. The following diagram is a conceptual analytics data hub reference architecture.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

AWS Big Data

MAY 21, 2024

During implementation, the LINQ team worked with OpenSearch Service specialists to optimize the OpenSearch Service cluster configuration to maximize performance and optimize cost of the solution. This results in an optimized record for each product for quick and efficient search in OpenSearch Service.

Manufacturing 100

Manufacturing Sales Optimization Data Processing 100

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Just-in-Time” manufacturing increases production while optimizing resources. Did everything check out?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

AWS Big Data

AUGUST 16, 2023

Apache Iceberg is an open table format for very large analytic datasets. Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 73

Data Lake Metadata Testing Snapshot 73

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. Starting with Amazon EMR version 6.5.0,

Data Lake 121

Data Lake Data Processing Metadata Snapshot 121

AWS Big Data

JUNE 22, 2023

Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven business decisions using distributed analytics engines such as Amazon Athena. Partitioning is a common technique to lay out your data optimally for distributed analytics engines.

Metadata 83

Metadata Management Recreation/Entertainment Optimization 83

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. The most optimal and streamlined way to achieve this is by using a data catalog, which can provide a first stop for users ahead of working in BI platforms.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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. Raj focuses on helping customers develop sample dashboards, embed analytics and adopt BI design patterns and best practices.

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 103

Strategy Metadata Metrics Dashboards 103

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144