AWS Big Data

MARCH 10, 2023

You can simplify your data strategy by running multiple workloads and applications on the same data in the same location. Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

AWS Big Data

JANUARY 17, 2024

Incremental query refers to a query strategy that focuses on processing and analyzing only the new or updated data within a data lake since the last query. 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.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

AWS Big Data

FEBRUARY 1, 2023

Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. 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.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. 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.

Snapshot 84

Snapshot Data Lake Testing Strategy 84

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 142

Optimization Metadata Statistics Cost-Benefit 142

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 103

Snapshot Metadata Cost-Benefit Data Architecture 103

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. You still need to set appropriate EMRFS retries to provide additional resiliency.

Data Lake 84

Data Lake Snapshot Metadata Optimization 84

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 66

Data Architecture Metadata Data Lake Snapshot 66

Cloudera

JULY 13, 2023

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. The data files and metadata files in Iceberg format are immutable.

Metadata 69

Metadata Snapshot Data Warehouse Statistics 69

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

SEPTEMBER 13, 2023

Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

AWS Big Data

JULY 20, 2023

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

AWS Big Data

AUGUST 16, 2023

The Iceberg specification allows seamless table evolution such as schema and partition evolution, and its design is optimized for usage on Amazon Simple Storage Service (Amazon S3). We fetch the metadata of the users_xxxxxx table from Athena. It’s imperative that the source and target metadata match.

Data Lake 71

Data Lake Metadata Testing Snapshot 71

AWS Big Data

FEBRUARY 13, 2023

To assess the nodes and find an optimal RA3 cluster configuration, we collaborated with AllCloud , the AWS premier consulting partner. This strategy aims to replicate a realistic workload in different RA3 cluster configurations and compare them with our DC2 configuration. Take snapshot from 6 x RA3.4xlarge.

Snapshot 67

Snapshot Data Warehouse Testing Analytics 67

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

Cloudera

MAY 24, 2021

The age and hardware refresh cycle for legacy clusters is another important consideration when deciding on the in-place upgrade strategy. Second, configure a replication process to provide periodic and consistent snapshots of data, metadata, and accompanying governance policies. Once moved, disable them on the legacy cluster.

Testing 78

Testing Metadata Snapshot Strategy 78

AWS Big Data

MARCH 3, 2023

Cost optimization – When you run Spark or Hive applications using EMR Serverless, you pay for the amount of vCPU, memory, and storage resources consumed by your applications, leading to optimal utilization of resources. EMR Serverless includes the Amazon EMR performance-optimized runtime for Apache Spark and Hive.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

AWS Big Data

NOVEMBER 29, 2023

The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). Materializations – Materializations are strategies for persisting dbt models in a warehouse. There are three strategies for incremental materialization. The merge strategy requires hudi , delta , or iceberg.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

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 Governance and Data Strategy. Source: “What’s Your Data Strategy?”

Metadata 64

Metadata Data Governance Dashboards Software 64