AWS Big Data

OCTOBER 3, 2023

Apache Iceberg enables transactions on data lakes and can simplify data storage, management, ingestion, and processing. This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

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 addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 114

Data Lake Data Processing Metadata Snapshot 114

Smart Data Collective

JULY 27, 2021

Customer relationship management (CRM) platforms are very reliant on big data. Complex Salesforce orgs can work just fine if they are properly managed. Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Tools like Metazoa Snapshot make it painless, however.

Big Data 132

Big Data Snapshot IT Dashboards 132

Cloudera

MARCH 2, 2023

To provide the CM host we can copy the FQDN of the node where Cloudera Manager is running. This information can be obtained from the Cloudera Management Console by first selecting the Data Hub cluster that has Hive installed and belongs to the same environment.

Snapshot 113

Snapshot Data Processing Metadata Management 113

AWS Big Data

MAY 24, 2023

To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. In that case, we have to query the table with the snapshot-id corresponding to the deleted row. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance. AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata.

Data Lake 89

Data Lake Snapshot Metadata Optimization 89

AWS Big Data

JUNE 5, 2023

Today, AWS is announcing the availability of in-place version upgrades for Amazon Managed Workflow for Apache Airflow (Amazon MWAA). If you also needed to preserve the history of DAG runs, you had to take a backup of your metadata database and then restore that backup on the newly created environment.

Snapshot 72

Snapshot Metadata Testing Data-driven 72

Sisense

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Sales data can get messy.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

AUGUST 23, 2023

With OpenSearch Service managed domains, you specify a hardware configuration and OpenSearch Service provisions the required hardware and takes care of software patching, failure recovery, backups, and monitoring. Your team should be familiar with sharding concepts and OpenSearch best practices to use the OpenSearch managed offering.

Snapshot 92

Snapshot Dashboards Visualization Metrics 92

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. The solution doesn’t create or modify AWS Identity and Access Management (IAM) roles, which are available in all Regions. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

JULY 3, 2023

Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error. With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time.

Snapshot 80

Snapshot Data Lake Testing Strategy 80

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Organizations need to establish processes to track and manage data copies effectively. Clear policies and procedures need to be established to manage data retention and deletion appropriately.

Snapshot 79

Snapshot Metadata Measurement Data Warehouse 79

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 110

Data mining Metadata Big Data ROI 110

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

JUNE 9, 2023

Across all use cases, permissions, data governance, and data protection are table stakes, and customers require a high level of control over data security, encryption, and lifecycle management.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

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. With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

DataKitchen

AUGUST 8, 2023

She sees Data Observability as an emerging technology in data engineering and management. Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Let’s start with a scenario.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

AWS Big Data

JULY 20, 2023

A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

erwin

JULY 2, 2020

a senior business process management architect at a pharma/biotech company with more than 5,000 employees, erwin Evolve was useful for enterprise architecture reference. His team also is using the software to manage roadmaps in their main transformation programs. They’re static snapshots of a diagram at some point in time.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

AWS Big Data

NOVEMBER 29, 2023

You learned the end-to-end operations and data flow for data engineers to build and manage a data stack using dbt and the dbt-glue adapter. Kinshuk Pahare is a Principal Product Manager on the AWS Glue team at Amazon Web Services. Jason Ganz is the manager of the Developer Experience (DX) team at dbt Labs

Data Lake 99

Data Lake Management Metrics Data Warehouse 99

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog. For more details, refer to Creating Apache Iceberg tables.

Data Lake 74

Data Lake Metadata Snapshot Management 74

AWS Big Data

AUGUST 16, 2023

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. It’s imperative that the source and target metadata match.

Data Lake 68

Data Lake Metadata Testing Snapshot 68

AWS Big Data

SEPTEMBER 13, 2023

Operational data processing framework The operational data processing (ODP) framework contains three components: File Manager, File Processor, and Configuration Manager. Component 1: File Manager File Manager detects files emitted by a CDC process such as AWS DMS and tracks them in an Amazon DynamoDB table.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. It’s a snapshot of data at a specific point in time, at the end of a day, week, month or year. Complete data lineage on OLAP cube.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

AWS Big Data

MAY 10, 2023

Amazon OpenSearch Service recently announced Multi-AZ with Standby , a new deployment option for managed clusters that enables 99.99% availability and consistent performance for business-critical workloads. Designing for high availability OpenSearch Service manages tens of thousands of OpenSearch clusters.

Snapshot 89

Snapshot Testing Metadata Management 89

IBM Big Data Hub

JULY 6, 2022

starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more. Moreover, mean time to repair (MTTR) is also improved as contextual metadata helps data engineers focus on the source of the problem, rather than debugging where the problem stems from.

Metadata 58

Metadata Data Quality Snapshot Cost-Benefit 58

Cloudera

OCTOBER 11, 2022

As Julian and Bret say above, a scaled AI solution needs to be fed new data as a pipeline, not just a snapshot of data and we have to figure out a way to get the right data collected and implemented in a way that is not so onerous. First you need the data analytics, data management, and data science tools.

Snapshot 91

Snapshot Data Science Digital Transformation Metadata 91

AWS Big Data

NOVEMBER 6, 2023

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure.

Metrics 99

Metrics Metadata Snapshot Management 99

Cloudera

SEPTEMBER 1, 2020

See the snapshot below. HDFS also provides snapshotting, inter-cluster replication, and disaster recovery. . Coordinates distribution of data and metadata, also known as shards. If you want to temporarily stop the DDE cluster you need to: Navigate to Management Console > Data Hub Clusters > Click on your DDE cluster.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

AWS Big Data

JANUARY 8, 2024

For security, Kinesis Data Streams provide server-side encryption so you can meet strict data management requirements by encrypting your data at rest and Amazon Virtual Private Cloud (VPC) interface endpoints to keep traffic between your Amazon VPC and Kinesis Data Streams private. The raw data can be streamed to Amazon S3 for archiving.

Analytics 109

Analytics IoT Data-driven Snapshot 109

AWS Big Data

FEBRUARY 13, 2023

This is a guest post by Miguel Chin, Data Engineering Manager at OLX Group and David Greenshtein, Specialist Solutions Architect for Analytics, AWS. Before migrating to RA3, we were using a 16 DC2.8xlarge nodes cluster with a highly tuned workload management (WLM), and performance wasn’t an issue at all. Take measurements 18 x DC2.

Snapshot 64

Snapshot Data Warehouse Testing Analytics 64

Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . Ozone Namespace Overview. Data ingestion through ‘s3’.

Data Science 110

Data Science Forecasting Metadata Machine Learning 110

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. It provides precise time and state management with fault tolerance. With unified metadata, both data processing and data consuming applications can access the tables using the same metadata.

Data Lake 60

Data Lake Metadata Business Analysis Data-driven 60

AWS Big Data

MARCH 25, 2024

We discuss the value of AWS data streaming services such as Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams , Amazon Managed Service for Apache Flink , and Amazon Kinesis Data Firehose in building generative AI applications. For more information, refer to Dynamic Tables.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

AWS Big Data

MARCH 10, 2023

Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. The Data Catalog provides a central location to govern and keep track of the schema and metadata.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 85

Data Quality Visualization Metadata Metrics 85