Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake 83

Data Lake Big Data OLAP Testing 83

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. There just aren’t enough AI and data science practitioners to go around to tackle this lofty goal. Apply that metric to any other business-critical function.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

Data Quality 74

Data Quality Metrics Visualization Dashboards 74

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

Alation

FEBRUARY 20, 2020

When it was no longer a hard requirement that a physical data model be created upon the ingestion of data, there was a resulting drop in richness of the description and consistency of the data stored in Hadoop. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The gold model joins the technical logs with billing data and organizes the metrics per business unit.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 118

Data Lake Data-driven Dashboards Risk 118

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

Snapshot 114

Snapshot Data Lake Metadata Recreation/Entertainment 114

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This makes gathering information for decision making a challenge.

Management 78

Management Metrics Data Processing Data Lake 78

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Quality test suites will enforce “equity,” like any other performance metric. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools?

Software 130

Software Marketing Data Lake Testing 130

AWS Big Data

MARCH 6, 2024

For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR. The following graph depicts the Invocations metric, with the statistic SUM in orange and RUNNING SUM in blue. AWS Glue, and Athena.

Metrics 96

Metrics Statistics Testing Data Lake 96

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 93

Data Quality Data Governance Data Lake Testing 93

AWS Big Data

JUNE 8, 2023

Configure OpenSearch Service alerts to send notifications to PagerDuty We can monitor OpenSearch cluster health in two different ways: Using the OpenSearch Dashboard alerting plugin by setting up a per cluster metrics monitor. This provides a query to retrieve metrics related to the cluster health. Choose Preview query.

Data Lake 82

Data Lake Dashboards Metrics Testing 82

AWS Big Data

MAY 23, 2024

Now, you can define dynamic rules and not worry about updating static rules on a regular basis to adapt to varying data trends. This feature enables you to author dynamic rules to compare current metrics produced by your rules with your historical values. We also show how to take action based on the data quality results.

Data Quality 88

Data Quality Metrics Data Lake Sales 88

DataKitchen

NOVEMBER 10, 2023

The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team. Identifying Anomalies: Use advanced algorithms to detect anomalies in data patterns.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics. Most organizations don’t end up with data lakes, says Orlandini.

Data Lake 126

Data Lake Data-driven Finance Data Architecture 126

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

AUGUST 12, 2022

For its order-entry automation module, Northstar leans on AI and RPA to optimize data recognition and verification, and to reduce errors and accelerate order cycle times. The team also built a centralized data lake on AWS, Databricks, and Power BI. Catalyzing change.

IT 104

IT Data Lake Sales Interactive 104

Smart Data Collective

FEBRUARY 23, 2022

Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. That is when data lake products started gaining popularity, and since then, more companies introduced lake solutions as part of their data infrastructure. How to improve indexing.

Data Lake 97

Data Lake Cost-Benefit Optimization Big Data 97

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 105

Management Metrics Cost-Benefit Data Lake 105

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

JULY 25, 2023

In the Metric filters section, expand Additional filtering options. In the Metric filters section, expand Additional filtering options. Method 2: Monitor metrics in CloudWatch Redshift Serverless publishes serverless endpoint performance metrics to CloudWatch. Choose Workgroup to view workgroup-related metrics.

Metrics 83

Metrics Data Warehouse Dashboards Snapshot 83

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” ” Watsonx.ai

Management 81

Management IT Machine Learning Metrics 81

David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

AWS Big Data

FEBRUARY 12, 2024

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Overall architecture and implementation details with Redshift Materialized views Gupshup uses a CDC mechanism to extract data from their source systems and persist it in S3 in order to meet these needs.

Data Warehouse 102

Data Warehouse Analytics Snapshot Cost-Benefit 102

AWS Big Data

FEBRUARY 29, 2024

To provide a response that includes the enterprise context, each user prompt needs to be augmented with a combination of insights from structured data from the data warehouse and unstructured data from the enterprise data lake. It also monitors bias drift in your model’s predictions and feature attribution.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

CIO Business Intelligence

MARCH 2, 2023

In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. This engine will be deeply integrated into our data lake to enable truly individualized student support at the right time, through the best channel,” he adds.

Data Lake 141

Data Lake Forecasting B2B Optimization 141

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

CIO Business Intelligence

JANUARY 10, 2024

Optimizing cloud investments requires close collaboration with the rest of the business to understand current and future needs, building effective FinOps teams, partnering with providers, and ongoing monitoring of key performance metrics. We need hard metrics because we’re running 800 instances of cloud computers.

Cost-Benefit 111

Cost-Benefit Measurement Optimization Metrics 111

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 89

OLAP Data Lake Data-driven Snapshot 89

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52