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 117

Optimization Snapshot Metadata Cost-Benefit 117

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. The Data Discovery and Exploration template contains the most commonly used services in search analytics applications. See the snapshot below. Coordinates distribution of data and metadata, also known as shards.

Snapshot 66

Snapshot Unstructured Data Dashboards Interactive 66

AWS Big Data

MARCH 10, 2023

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. AWS provides flexibility and a wide breadth of features to ingest data, build AI and ML applications, and run analytics workloads without having to focus on the undifferentiated heavy lifting.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

AWS Big Data

NOVEMBER 6, 2023

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. Airflow will cache variables and connections locally so that they can be accessed faster during DAG parsing, without having to fetch them from the secrets backend, environments variables, or metadata database.

Metrics 107

Metrics Metadata Snapshot Management 107

AWS Big Data

JANUARY 17, 2024

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. By identifying these changes, the query engine can optimize the query to process only the relevant data, significantly reducing the processing time and resource requirements.

Data Lake 97

Data Lake Snapshot Big Data Data-driven 97

AWS Big Data

MARCH 25, 2024

The result is made available to the application by querying the latest snapshot. The snapshot constantly updates through stream processing; therefore, the up-to-date data is provided in the context of a user prompt to the model. This use case fits very well in the streaming analytics domain.

Data Lake 94

Data Lake Unstructured Data Management Modeling 94

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

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. Furthermore, it is partitioned on the d_year column.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

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

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Snapshot 104

Snapshot Metadata Cost-Benefit Data Architecture 104

AWS Big Data

AUGUST 23, 2023

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. OpenSearch Serverless optimizes resource use depending on the type you set. Security analytics with OpenSearch OpenSearch 2.5

Snapshot 95

Snapshot Dashboards Visualization Metrics 95

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 86

Data Lake Snapshot Metadata Optimization 86

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access. Metadata access permissions allow users to create, read, update, and delete metadata databases and tables in the Data Catalog.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

Cloudera

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself.

Metadata 70

Metadata Snapshot Data Warehouse Statistics 70

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

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

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

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

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. To assess the nodes and find an optimal RA3 cluster configuration, we collaborated with AllCloud , the AWS premier consulting partner. Take snapshot from 6 x RA3.4xlarge.

Snapshot 68

Snapshot Data Warehouse Testing Analytics 68

Cloudera

MARCH 23, 2022

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: 1: Multi-function analytics . Although this allows for schema evolution, it poses a problem if the table has too many changes.

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

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

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Key ways to optimize insights for sales. Daily snapshot of opportunities – a summary.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. The items stored in checkpoint locations are mainly the metadata for application configurations and the state of processed offsets.

Management 81

Management Metadata Testing Internet of Things 81

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 87

Snapshot Data-driven Publishing Optimization 87

AWS Big Data

MARCH 3, 2023

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. EMR Serverless includes the Amazon EMR performance-optimized runtime for Apache Spark and Hive.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

DataKitchen

AUGUST 8, 2023

It alerts data and analytics leaders to issues with their data before they multiply. 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.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Again, metadata is key. What Is Data Intelligence? These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64