AWS Big Data

APRIL 3, 2024

licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time.

Data Lake 105

Data Lake Snapshot Metadata Data Architecture 105

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 89

Data Lake Data Governance Data Architecture Machine Learning 89

CIO Business Intelligence

OCTOBER 23, 2024

Here, CIO Patrick Piccininno provides a roadmap of his journey from data with no integration to meaningful dashboards, insights, and a data literate culture. You ’re building an enterprise data platform for the first time in Sevita’s history. Once they were identified, we had to determine we had the right data.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

AWS Big Data

FEBRUARY 24, 2023

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. A data lake built on AWS uses Amazon Simple Storage Service (Amazon S3) as its primary storage environment.

Data Lake 90

Data Lake Metadata Testing Data Warehouse 90

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable). Create a table to point to the CDC data. Upload 20220922-184314489.csv

Data Lake 80

Data Lake Snapshot Optimization Data Transformation 80

Jedox

DECEMBER 28, 2021

With this forward-thinking mindset, I present the top 7 FP&A trends for 2022. Smart FP&A professionals will consider it a part of their overall 2022 strategy. This means companies will be able to modernize and innovate even more easily in 2022. The world is still in recovery mode after a debilitating pandemic.

Digital Transformation 97

Digital Transformation Finance Machine Learning Forecasting 97

Timo Elliott

MAY 27, 2022

For the longest time, in order to do any analytics, we had to take the data to the technology — rip it out of the business applications and move it to a data warehouse or a data lake, or a data lakehouse. The problem is that it’s like ripping a tree out of the forest and trying to get it to grow elsewhere.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

Timo Elliott

NOVEMBER 21, 2022

For the last 30 years, whenever you want to do analytics, the first step is to rip it out of the operational applications and try and move it to a different environment—so data warehousing, data lakes, data lakehouses and now data clouds.

Data Analytics 98

Data Analytics Analytics Recreation/Entertainment Data Lake 98

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 92

Data Lake Data Warehouse Marketing Management 92

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Machine Learning Consulting 84

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 75

Data Lake Dashboards Cost-Benefit Data Warehouse 75

AWS Big Data

OCTOBER 23, 2024

result = client.trigger_run( dag_id="any_bash_command", conf={ "command": "echo 'Hello from external trigger!'" Let’s expand the use case to run your data pipeline and perform extract, transform, and load (ETL) jobs when a new file lands in an Amazon Simple Storage Service (Amazon S3) bucket in your data lake.

Interactive 100

Interactive Testing Data-driven Data Lake 100

AWS Big Data

OCTOBER 30, 2024

The following are the recommended best practices when working with files using the auto-copy job: Use unique file names for each file in a auto-copy job (for example, 2022-10-15-batch-1.csv Do not overwrite existing files. He was the CEO and co-founder of DataRow, which was acquired by Amazon in 2020.

Data Warehouse 89

Data Warehouse Sales Data Lake Recreation/Entertainment 89

Cloudera

FEBRUARY 18, 2022

Empathy stands out as a core skill that must be alive and nurtured within our teams if we are to achieve our desired outcomes in 2022 and beyond. For example, data is helping both Cloudera and our customers to create better, healthier, and more open relationships with employees. . At Cloudera we operate according to core values.

Data Lake 87

Data Lake Uncertainty Dashboards Optimization 87

DataKitchen

DECEMBER 7, 2021

Data Mesh: Delivering Data-Driven Value at Scale , by Zhamak Dehghani. This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 87

Data Lake Data Governance Machine Learning Cost-Benefit 87

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. This is where the tagging feature in Apache Iceberg comes in handy.

Snapshot 94

Snapshot Data Lake Testing Strategy 94

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has long had the capabilities of a data lakehouse, if not the label. Get an introduction to the latest version of Cloudera’s Data Platform. and/or its affiliates in the U.S.

Management 92

Management Metadata Machine Learning Data Lake 92

CIO Business Intelligence

NOVEMBER 4, 2022

MetaBio, which received a 2022 CIO 100 Award , provides a single source for datasets in a unified format, enabling researchers to quickly extract information about various therapeutic functions without having to worry about how to prepare or find the data. Much of Regeneron’s data, of course, is confidential.

Data Lake 124

Data Lake IT Experimentation Data-driven 124

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The adoption of cloud environments for analytic workloads has been a key feature of the data platforms sector in recent years. For two-thirds (66%) of participants in ISG’s Data Lake Dynamic Insights Research, the primary data platform used for analytics is cloud based.

Data Warehouse 130

Data Warehouse Cost-Benefit Data Lake Software 130

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

CIO Business Intelligence

MAY 5, 2023

Despite the current overall economic slowdown, CarMax’s Q4 2022 revenues rose 48.8% billion compared Q4 2021, with revenues for fiscal 2022 increasing 68.3% As a Microsoft Azure shop, CarMax relies on Azure Data Lake, an essential component of the company’s AI output, the CIO notes. billion overall.

Digital Transformation 145

Digital Transformation Cost-Benefit Business Driver Machine Learning 145

AWS Big Data

MARCH 20, 2023

In the first post of this series , we described how AWS Glue for Apache Spark works with Apache Hudi, Linux Foundation Delta Lake, and Apache Iceberg datasets tables using the native support of those data lake formats. For S3 URL , enter s3://noaa-ghcn-pds/csv/by_year/2022.csv. The data source is configured.

Visualization 87

Visualization Data Lake Snapshot Big Data 87

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle’s digital business in 2022 was $3.5 Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. “I

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

AWS Big Data

OCTOBER 23, 2023

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. An Athena Spark workgroup configured for use.

Data Lake 115

Data Lake Visualization Optimization Interactive 115

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

CIO Business Intelligence

JANUARY 20, 2023

But Kevin Young, senior data and analytics consultant at consulting firm SPR, says organizations can first share data by creating a data lake like Amazon S3 or Google Cloud Storage. Members across the organization can add their data to the lake for all departments to consume,” says Young.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

CIO Business Intelligence

JULY 26, 2023

“The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. billion in 2022, resource industries $82.1 billion in 2022, and personal and consumer services at $82.6 billion in 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

CIO Business Intelligence

JUNE 12, 2024

Destination Earth (DestinE) fue alumbrado en 2022, al abrigo de la Comisión Europea y en estrecha colaboración con el Centro Europeo de Predicción Meteorológica a Medio Plazo (ECMWF), la Agencia Espacial Europea (ESA) y la Organización Europea para la Explotación de Satélites Meteorológicos (EUMETSAT).

Data Lake 111

Data Lake Big Data Technology 111

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services.

Data Lake 104

Data Lake Metadata Data Governance Statistics 104

Alation

JULY 18, 2022

Are your data users overwhelmed by silos and frustrated by untrusted data? Tell them to grab a catalog … and go jump in a lake. That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. Automatically tracking data lineage across queries executed in any language.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 87

Data Lake Data Analytics Analytics Data Processing 87

AWS Big Data

AUGUST 9, 2024

These processes retrieve data from around 90 different data sources, resulting in updating roughly 2,000 tables in the data warehouse and 3,000 external tables in Parquet format, accessed through Amazon Redshift Spectrum and a data lake on Amazon Simple Storage Service (Amazon S3). We started with 115 dc2.large

Data Lake 106

Data Lake Analytics Data Warehouse Data-driven 106

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. Let’s say that this company is located in Europe and the data product must comply with the GDPR.

Data Lake 116

Data Lake Management Metrics Data Warehouse 116

CIO Business Intelligence

OCTOBER 4, 2023

From 2016 to 2022, the company went from processing a payments volume of $354 billion to $1.36 At the lowest layer is the infrastructure, made up of databases and data lakes. This allows us greater productivity and creativity on the part of developers,” he says. trillion last year.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132