AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. Of those tables, some are larger (such as in terms of record volume) than others, and some are updated more frequently than others.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

AWS Big Data

JANUARY 8, 2024

It can receive the events from an input Kinesis data stream and route the resulting stream to an output data stream. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking. You can create a stateful functions cluster with Apache Flink based on your application business logic.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Domino Data Lab

JANUARY 11, 2021

Data Science works best with a high degree of data granularity when the data offers the closest possible representation of what happened during actual events – as in financial transactions, medical consultations or marketing campaign results. About Domino Data Lab. Integration Features.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

Data Warehouse 80

Data Warehouse Snapshot Metadata Cost-Benefit 80

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. Jupyter Enterprise Gateway 2.6.0, availability. This example is demonstrated on an EMR version emr-6.10.0

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

AWS Big Data

FEBRUARY 12, 2024

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. This solution only replicates metadata in the Data Catalog, not the actual underlying data.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift offers backups and snapshots of the data.

Snapshot 79

Snapshot Metadata Measurement Data Warehouse 79

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. About the Authors Satesh Sonti is a Sr.

Metrics 76

Metrics Data Warehouse Dashboards Snapshot 76

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Read why the future of data lakehouses is open. ORC open file format support.

Metadata 77

Metadata Data Warehouse Snapshot Data Quality 77

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. Enter the software development layers.

IT 346

IT Testing Experimentation Software 346

Cloudera

SEPTEMBER 12, 2022

For many organizations, a data fabric is a first step to becoming more data driven. A data fabric answers perhaps the biggest question of all: what data do we have to work with? The tremendous overhead placed on IT hampers the speed with which organizations can bring together ever more data to deploy new use cases.

Unstructured Data 73

Unstructured Data Data Architecture Data Lake Snapshot 73

Corinium

APRIL 25, 2019

Why should Chief Data & Analytics Officers care about data security? Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade.

Software 52

Software Data Lake Testing Cost-Benefit 52

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 99

Data Lake Management Metrics Data Warehouse 99

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP 91

OLAP Data Lake Data-driven Snapshot 91

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 64

Data Lake Data Governance Data Warehouse Modeling 64