CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 98

IoT Internet of Things Data Warehouse Machine Learning 98

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

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. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

AWS Big Data

MARCH 2, 2023

Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. At the top of the hierarchy is the metadata file, which stores information about the table’s schema, partition information, and snapshots. all_reviews ): data and metadata.

Data Lake 128

Data Lake Data Processing Metadata Snapshot 128

Sisense

JANUARY 6, 2020

So, partnering with analysts to model Salesforce data will give sales teams more confidence to predict the revenue that teams are going to close at the end of any given period, and identify behaviors and strategies that will be most effective. To achieve this, first requires getting the data into a form that delivers insights.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

MAY 24, 2023

You can adjust your retry strategy by increasing the maximum retry limit for the default exponential backoff retry strategy or enabling and configuring the additive-increase/multiplicative-decrease (AIMD) retry strategy. In that case, we have to query the table with the snapshot-id corresponding to the deleted row.

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

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 117

Data Lake Management Metrics Data Warehouse 117

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more.

Data Warehouse 101

Data Warehouse Metrics Statistics Optimization 101

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. ETL pipelines can be expensive to build and complex to manage. Choose Create preview workgroup.

Data Warehouse 96

Data Warehouse Analytics Metrics Dashboards 96

AWS Big Data

FEBRUARY 13, 2023

We live in a data-producing world, and as companies want to become data driven, there is the need to analyze more and more data. These analyses are often done using data warehouses. Status quo before migration Here at OLX Group, Amazon Redshift has been our choice for data warehouse for over 5 years.

Snapshot 73

Snapshot Data Warehouse Analytics Testing 73

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. Tags provide metadata about resources at a glance.

Snapshot 91

Snapshot Metadata Measurement Data Warehouse 91

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Snapshot 70

Snapshot Data Warehouse Metadata Testing 70

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in. Choose Create workgroup.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure.

Data Warehouse 95

Data Warehouse Visualization Snapshot Data-driven 95

AWS Big Data

JANUARY 24, 2023

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. Also consider the trade-offs. To get started, checkout the github repo.

Data Architecture 73

Data Architecture Metadata Data Lake Snapshot 73

Occam's Razor

APRIL 5, 2010

There is a better way to analyze your acquisition strategy than simply using Conversion Rates or Cost Per Acquisition (CPA). Take a snapshot of your customer database for the past 2 years and it may look like this: That is an average. One strategy might be to spend an extravagant $1.00 That's a $19.00 Look 'em up.

Analytics 136

Analytics Marketing Measurement Metrics 136

AWS Big Data

JANUARY 8, 2024

The destination can be an event-driven application for real-time dashboards, automatic decisions based on processed streaming data, real-time altering, and more. It can receive the events from an input Kinesis data stream and route the resulting stream to an output data stream.

Analytics 124

Analytics IoT Data-driven Snapshot 124

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Iceberg offers a Merge On Read strategy to enable fast writes.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

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 70

Metadata Snapshot Data Warehouse Statistics 70

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. Table data storage mode – There are two options: Historical – This table in the data lake stores historical updates to records (always append).

Data Lake 104

Data Lake Data Processing Metadata Snapshot 104

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 76

Modeling Sales Data Warehouse Snapshot 76

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. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 87

Data Warehouse Data-driven Snapshot Testing 87

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JANUARY 17, 2024

By preserving historical versions, data lake time travel provides benefits such as auditing and compliance, data recovery and rollback, reproducible analysis, and data exploration at different points in time. Another popular transaction data lake use case is incremental query. You can now follow the steps in the notebook.

Data Lake 107

Data Lake Snapshot Big Data Data-driven 107

Jet Global

JULY 30, 2021

Whether it is a sales performance dashboard, a snapshot of A/R collections, a trends analysis dashboard, a marketing performance app, or a variance-to-Year 12-month view report, EPM reporting can be a powerful tool in helping your organization meet its objectives. Step 6: Drill into the Data. Step 2: Choose Reporting Templates.

Reporting 52

Reporting Metrics Dashboards Sales 52

Wayne Yaddow

MARCH 14, 2025

Snapshot testing augments debugging capabilities by recording past table states, facilitating the identification of unforeseen spikes, declines, or abnormalities before their effect on production systems. Workaround: Use Git branches, tagging, and commit messages to trackchanges.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

FineReport

MAY 31, 2023

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis.

Data Lake 81

Data Lake Testing Snapshot Sales 81

AWS Big Data

MARCH 3, 2023

During the Build Lab, the customer will construct a prototype in their environment, using their data, with guidance on real-world architectural patterns and anti-patterns, as well as strategies for building effective solutions, from AWS service experts. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 3, 2023

We use an example use case where the EMR Serverless job runs every hour, and the input data folder is partitioned on an hourly basis from AWS DMS. You can choose an appropriate partitioning strategy on the S3 raw bucket for your use case. For more information, refer to Creating external tables for data managed in Delta Lake.

Data Lake 91

Data Lake Dashboards Metrics Metadata 91

AWS Big Data

DECEMBER 9, 2024

Each branch has its own lifecycle, allowing for flexible and efficient data management strategies. This post explores robust strategies for maintaining data quality when ingesting data into Apache Iceberg tables using AWS Glue Data Quality and Iceberg branches.

Data Quality 109

Data Quality Publishing Snapshot Data Lake 109

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 103

Data Warehouse Snapshot Testing Management 103

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. Then when there is a breach, it comes as a shock, “wow, I didn’t even know that application had access to so much sensitive data”. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Data-driven 150

AWS Big Data

AUGUST 16, 2023

Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time. Version travel queries in Athena query Amazon S3 for historical data as of a specified snapshot ID. Karthikeyan Ramachandran is a Data Architect with AWS Professional Services.

Data Lake 79

Data Lake Metadata Testing Snapshot 79

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 96

Machine Learning Metrics Big Data Management 96