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 97

Data Lake Analytics Snapshot Data Quality 97

AWS Big Data

AUGUST 9, 2024

This trend is no exception for Dafiti , an ecommerce company that recognizes the importance of using data to drive strategic decision-making processes. Amazon Redshift is widely used for Dafiti’s data analytics, supporting approximately 100,000 daily queries from over 400 users across three countries. TB of data.

Data Lake 110

Data Lake Analytics Data Warehouse Data-driven 110

Cloudera

AUGUST 3, 2022

However, it not only increases costs but requires duplication of policies and yet another external tool to manage. The introduction of “Secure Access” mode to HWC avoids these drawbacks by relying on Hive to obtain a secure snapshot of the data that is then operated upon by Spark. df.show(). Setting up secure access mode.

Snapshot 90

Snapshot Cost-Benefit Machine Learning Data Science 90

AWS Big Data

JULY 26, 2023

More specifically, you also need to fix bugs, resolve customer issues, and manage software changes. In addition, you need to monitor the overall system performance, security, and user experience to identify new ways to improve the existing data integration pipeline. It is the dictionary generated from default-config.yaml.

Data Integration 86

Data Integration Snapshot Testing Visualization 86

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. The following are some highlighted steps: Run a snapshot query. %%sql Make sure you are in the us-east-1 Region.

Data Lake 112

Data Lake Snapshot Big Data Data-driven 112

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities.

Data Warehouse 106

Data Warehouse KPI Optimization Cost-Benefit 106

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Together with price-performance , Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

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 95

Data Lake Dashboards Metrics Metadata 95

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 120

Data Lake Management Metrics Data Warehouse 120

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. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. Apache Hudi also has its own catalog management.

Data Lake 72

Data Lake Metadata Business Analysis Data-driven 72

AWS Big Data

FEBRUARY 18, 2025

Apache Iceberg combines enterprise reliability with SQL simplicity when working with security data stored in Amazon Simple Storage Service (Amazon S3), enabling organizations to focus on security insights rather than infrastructure management. It is fully managed and requires no infrastructure management or custom code development.

Snapshot 77

Snapshot Optimization Data Lake Metadata 77

AWS Big Data

NOVEMBER 6, 2024

As businesses generate more data from a variety of sources, they need systems to effectively manage that data and use it for business outcomes—such as providing better customer experiences or reducing costs. Second, it allows customers to read and write data concurrently using different frameworks.

Metadata 113

Metadata Data Lake Management Internet of Things 113

DataKitchen

JANUARY 23, 2023

Data lineage and a data catalog are better together because they provide a more complete and accurate view of the data. Data lineage provides information about the origin, history, and movement of data, while runtime operations provide information about the actions performed on data while it is being processed.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

NOVEMBER 7, 2023

Add in the de facto requirement to combine all your reporting data and it presents quite a challenge. As more companies move their data into the cloud, methods for storing and managing that data also adapt and grow. This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52