AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 116

Optimization Snapshot Metadata Cost-Benefit 116

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 116

Analytics IoT Data-driven Snapshot 116

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 105

Metrics Metadata Snapshot Management 105

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 70

Snapshot Unstructured Data Dashboards Interactive 70

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 105

Data Lake Sales Data Warehouse Snapshot 105

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 92

Data Lake Unstructured Data Management Modeling 92

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. MOR, on the other hand, is introduced for cases where COW may not be optimal, particularly for write- or change-heavy workloads.

Data Lake 96

Data Lake Snapshot Big Data Data-driven 96

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

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. Hudi’s advanced performance optimizations make analytical workloads faster with any of the popular query engines including Apache Spark, Presto, Trino, Hive, and so on.

Data Lake 96

Data Lake Snapshot Metadata Optimization 96

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

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 96

Snapshot Dashboards Visualization Metrics 96

Cloudera

NOVEMBER 13, 2020

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

Optimization 144

Optimization Metadata Statistics Cost-Benefit 144

AWS Big Data

JULY 3, 2023

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error.

Snapshot 87

Snapshot Data Lake Testing Strategy 87

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. This property is set to true by default. AIMD is supported for Amazon EMR releases 6.4.0 cluster with installed applications Hadoop 3.3.3,

Data Lake 87

Data Lake Snapshot Metadata Optimization 87

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 69

Data Architecture Metadata Data Lake Snapshot 69

Cloudera

APRIL 3, 2023

Every table change creates an Iceberg snapshot, this helps to resolve concurrency issues and allows readers to scan a stable table state every time. The table metadata is stored next to the data files under a metadata directory, which allows multiple engines to use the same table simultaneously.

Data Warehouse 83

Data Warehouse Snapshot Metadata Cost-Benefit 83

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 116

Data Lake Metadata Optimization Statistics 116

AWS Big Data

SEPTEMBER 13, 2023

Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables. Operational data processing framework The operational data processing (ODP) framework contains three components: File Manager, File Processor, and Configuration Manager.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

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

Cloudera

MARCH 23, 2022

Users should be able to choose their tool of choice and take advantage of its workload specific optimizations. However, up to now a piece was still missing – the table schema and storage optimizations were tightly coupled, including to the engines, and therefore riddled with caveats. . 4: Enterprise grade. Financial regulation.

Metadata 93

Metadata Data Architecture Machine Learning Cost-Benefit 93

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 90

Data Lake Analytics Snapshot Optimization 90

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. In the following sections, we simulate and validate various scenarios to demonstrate Iceberg capabilities, including DML operations, time travel, and optimizations.

Data Lake 74

Data Lake Metadata Testing Snapshot 74

IBM Big Data Hub

JUNE 7, 2023

A management platform like IBM Storage Defender with a single pane of glass optimized for personas based on their specific roles (e.g., It takes collective intelligence and collaboration—usually between teams fostered by alignment, standards and a shared understanding.

Snapshot 78

Snapshot Metadata Enterprise Testing 78

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 69

Snapshot Data Warehouse Testing Analytics 69

AWS Big Data

JUNE 12, 2023

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed Apache Kafka service that offers a seamless way to ingest and process streaming data. The AWS Glue Schema Registry addresses this complexity by providing a centralized platform for discovering, managing, and evolving schemas from diverse streaming data sources.

Management 82

Management Metadata Testing Internet of Things 82

Cloudera

MARCH 15, 2023

An event-driven architecture enables minimal coupling, which makes it an optimal choice for modern, large-scale distributed systems. The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing.

Snapshot 92

Snapshot Data-driven Publishing Optimization 92

Cloudera

MAY 24, 2021

These include workload reviews, testing and validation, managing service-level agreements (SLAs), and minimizing workload unavailability during the move. . Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. But, Spark 1.6 When to use.

Metadata 83

Metadata Testing Snapshot Strategy 83

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 86

Data Lake Dashboards Metrics Metadata 86

AWS Big Data

NOVEMBER 29, 2023

The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). 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.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

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

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64