AWS Big Data

MARCH 7, 2024

Data Prepper is part of the open source OpenSearch project. With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. You configure your data producers to send data to OpenSearch Ingestion.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

AWS Big Data

JULY 14, 2023

This post provides a simple and quick way of building an extendable analytical system using Amazon QuickSight to better manage lines of business (LOBs) with a detailed list of business capabilities and APIs, deep analytical insights, and desired graphical visualizations from different dimensions.

Modeling 70

Modeling Visualization Reporting Measurement 70

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. The ML model that powers this experience is able to associate semantics and visual characteristics.

Visualization 91

Visualization Cost-Benefit Modeling Machine Learning 91

Octopai

JANUARY 31, 2021

Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. Agile Data. Another podcast we think is worth a listen is Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. 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

AWS Big Data

MARCH 13, 2024

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. Amazon S3 is used to store the leads data. Let’s take an example.

Sales 71

Sales Visualization Software Marketing 71

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

JUNE 12, 2024

Whether it’s customer information, sales records, or sensor data from Internet of Things (IoT) devices, the importance of handling and storing data at scale with ease of use is paramount. A common use case that we see amongst customers is to search and visualize data.

Dashboards 92

Dashboards Visualization Sales IoT 92

AWS Big Data

OCTOBER 11, 2023

It shows a call center streaming data source that sends the latest call center feed in every 15 seconds. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. client("s3") S3_BUCKET = ' ' kinesis_client = boto3.client("kinesis")

Management 104

Management Metadata Analytics Dashboards 104

AWS Big Data

DECEMBER 18, 2023

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. There are multiple tables related to customers and order data in the RDS database.

Metadata 120

Metadata Visualization Data Lake Data-driven 120

IBM Big Data Hub

FEBRUARY 26, 2024

We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data. Download the Gartner® Market Guide for Active Metadata Management 1. Data lineage helps you answer these questions by creating highly detailed visualizations of your data flows.

Cost-Benefit 91

Cost-Benefit Metadata Data Governance Reporting 91

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic.

Metrics 76

Metrics Visualization Measurement Optimization 76

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. Then, you transform this data into a concise format. Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

JUNE 19, 2023

When it comes to near-real-time analysis of data as it arrives in Security Lake and responding to security events your company cares about, Amazon OpenSearch Service provides the necessary tooling to help you make sense of the data found in Security Lake. This solution assumes that you’re using a domain deployed in a VPC.

Publishing 85

Publishing Dashboards Visualization Management 85

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

AUGUST 28, 2023

An example is provided below ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd} Complete the following steps to install the index templates and dashboards for your data: Download the component_templates.zip and index_templates.zip files and unzip them on your local device. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

MARCH 9, 2023

During each data load, incoming change records are matched against existing active records, comparing each attribute value to determine whether existing records have changed or were deleted or are new records coming in. 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

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

Domino Data Lab

OCTOBER 9, 2019

To lend perspective, the Pacific Marine Environmental Lab (PMEL) for NOAA in Seattle is responsible for collecting more than 50% of the world’s research data about oceanography. Monica Youngman, director of data stewardship—check out her slides for the “Data Archiving at NOAA” keynote. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

AWS Big Data

JUNE 15, 2023

Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured. Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic. Check out more QuickSight use cases and success stories on the AWS Big Data Blog.

Sales 67

Sales Dashboards Visualization Testing 67

Cloudera

NOVEMBER 22, 2021

Typically, organizations that leverage narrow-scope, single public cloud solutions for data processing face incremental costs as they scale to address more complex use cases or an increased number of users. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g.,

Data Processing 93

Data Processing Data Warehouse Enterprise Visualization 93

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Fine-grained Data Access Control. Data Visualization.

Cost-Benefit 86

Cost-Benefit Data-driven Data Warehouse Machine Learning 86

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Coding skills – SQL, Python or application familiarity – ETL & visualization?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52