Octopai

MARCH 31, 2021

Look for the Metadata. In order to perform accurate data lineage mapping, every process in the system that transforms or touches the data must be recorded. This metadata (read: data about your data) is key to tracking your data. Data Lineage by Tagging or Self-Contained Data Lineage.

Metadata 130

Metadata Data Transformation Business Intelligence Reporting 130

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

APRIL 2, 2024

You can see the decompressed data has metadata information such as logGroup , logStream , and subscriptionFilters , and the actual data is included within the message field under logEvents (the following example shows an example of CloudTrail events in the CloudWatch Logs). You can connect with Ranjit on LinkedIn.

Metadata 82

Metadata Marketing Analytics Data Transformation 82

Alation

MARCH 22, 2022

In fact, DataOps (and its underlying foundation, Data Fabric ), has ranked as a top area of inquiry and interest with analysts over the past twelve months. DataOps requires an array of technology to automate the design, development, deployment, and management of data delivery, with governance sprinkled on for good measure.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

erwin

APRIL 29, 2020

An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners? What are the transformation rules? Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Alation

JUNE 28, 2022

The real challenge lies in getting people to access, manage, and search for it appropriately. This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? This information is metadata.

Metadata 52

Metadata Management Data Governance Machine Learning 52

erwin

SEPTEMBER 17, 2020

Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data. Business terms and data policies should be implemented through standardized and documented business rules. Some data needs to be backed up daily while some types of data demand weekly or monthly backups.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

AWS Big Data

MARCH 13, 2024

This post shows how you can use Amazon Location, EventBridge, Lambda, Amazon Data Firehose , and Amazon S3 to build a location-aware data pipeline, and use this data to drive meaningful insights using AWS Glue and Athena. Overview of solution This is a fully serverless solution for location-based asset management.

Analytics 90

Analytics IoT Metadata Internet of Things 90

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 101

Management Metadata Analytics Dashboards 101

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. The QuickSight SDK v2.0

Slice and Dice 76

Slice and Dice Dashboards Analytics Interactive 76

Cloudera

DECEMBER 9, 2022

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. What if there was a way to not require developers to manage their own Apache NiFi installation without putting that burden on platform administrators?

Testing 97

Testing Cost-Benefit Interactive Visualization 97

Octopai

DECEMBER 11, 2022

It’s for that reason that even as the first BCBS-239 implementation deadline came into effect a few years ago, McKinsey reported that one-third of Global Systemically Important Banks had focused on “documenting data lineage up to the level of provisioning data elements and including data transformation.”.

Insurance 52

Insurance Risk Metadata Reporting 52

AWS Big Data

APRIL 19, 2023

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. A modern data architecture is critical in order to become a data-driven organization.

Technology 78

Technology Data-driven Machine Learning Sales 78

Cloudera

MARCH 14, 2023

You can think of drafts as data flows that are in development and may end up getting published into the Catalog for production deployments but may also get discarded and never make it to the Catalog. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 82

Testing Publishing Metadata Interactive 82

AWS Big Data

APRIL 25, 2023

In this post, we show how to share your data across SaaS platforms in a cross-account structure using fully managed, low-code AWS services such as Amazon AppFlow , Amazon EventBridge , AWS Step Functions , and AWS Glue. Solution overview Considering our example of AnyCompany, let’s look at the data flow.

Sales 68

Sales Visualization Software Marketing 68

AWS Big Data

APRIL 25, 2024

Partitioning is a technique that divides a large dataset into smaller, more manageable parts based on specific criteria, such as date, region, or product category. By partitioning data, downstream analytical queries can skip irrelevant partitions, reducing the amount of data that needs to be scanned and processed.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

JANUARY 17, 2024

Additionally, with version 6.15, Amazon EMR introduces access control protection for its application web interface such as on-cluster Spark History Server, Yarn Timeline Server, and Yarn Resource Manager UI. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. Make sure you are in the us-east-1 Region.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 91

Dashboards Analytics Metadata Data Warehouse 91

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 85

Cost-Benefit Metadata Optimization Management 85

Cloudera

OCTOBER 7, 2022

We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloudera Data Engineering. The Open Data Lakehouse . Cloudera builds dbt adaptors for all engines in the open data lakehouse.

Data Warehouse 81

Data Warehouse Data Transformation Testing Data Lake 81

Alation

JANUARY 17, 2023

Extract, load, Transform (ELT) tools. 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? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

IBM Big Data Hub

JANUARY 18, 2023

Data lakehouse: A mostly new platform. They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

APRIL 12, 2023

EMR on EKS simplifies your infrastructure management, maximizes resource utilization, and reduces your cost. We have been continually improving the Spark performance in each Amazon EMR release to further shorten job runtime and optimize users’ spending on their Amazon EMR big data workloads. test: EMR release – EMR 6.10.0

Testing 72

Testing Big Data Metadata Optimization 72

erwin

MARCH 4, 2021

However, while digital transformation and other data-driven initiatives are desired outcomes, few organizations know what data they have or where it is, and they struggle to integrate known data in various formats and numerous systems – especially if they don’t have a way to automate those processes.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Octopai

NOVEMBER 23, 2020

Naturally, this will produce a massive growth in data management needs. Particularly in financial services, each company’s data team will have significant work to do to keep up with these developments and this is on top of the regulatory challenges that they already face on a daily basis.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The architecture uses AWS Lambda , a serverless, event-driven compute service that lets you run code without provisioning or managing servers. On the Datasets page, choose New data set.

Visualization 92

Visualization Dashboards Data-driven Gap analysis 92

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 85

Data Lake Data Architecture Metadata Data Warehouse 85

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 81

Enterprise Data Warehouse Data Lake Optimization 81

Octopai

JANUARY 19, 2021

This is done by visualizing the Azure Data Factory pipelines’ full column-level with source-to-target traceability through different data transformations at the most detailed level. Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes.

Metadata 52

Metadata ROI Optimization Data Quality 52

AWS Big Data

JULY 20, 2023

Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. This ensures that the data is suitable for training purposes.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

AWS Big Data

FEBRUARY 6, 2023

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. format(S3_BUCKET_NAME), 's3://{}/data/aggregated/green'.format(S3_BUCKET_NAME),

Management 81

Management Interactive Metadata Publishing 81

AWS Big Data

OCTOBER 18, 2023

To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. InstanceId[]' Go to the Amazon EC2 console and connect to the master node through the Session Manager. or later installed. Instances[].InstanceId[]'

Big Data 77

Big Data Data Processing Interactive Testing 77

IBM Big Data Hub

JULY 17, 2023

Additional capabilities of our ML and data science toolkit include: MLOps pipelines: Offers a collaborative studio for data scientists to build, train and deploy machine learning models with advanced features like automated machine learning and model monitoring. Later this year, it will leverage watsonx.ai

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79