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

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 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems.

Data Lake 84

Data Lake Metadata Cost-Benefit Management 84

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance. Under Administration , choose Data catalog settings.

Data Lake 89

Data Lake Snapshot Metadata Optimization 89

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 114

Data Integration Data Lake Metadata Data Warehouse 114

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 99

Data Lake Management Metrics Data Warehouse 99

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 95

Data Lake Data Warehouse Management Risk 95

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 87

Data Quality Data Governance Data Lake Testing 87

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. If this is the first time accessing the Lake Formation console, add yourself as the data lake administrator. Now you can set up Lake Formation permissions.

Data Lake 74

Data Lake Metadata Snapshot Management 74

DataKitchen

JANUARY 25, 2022

For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake. It definitely means redeploying internal and outsourcing budgets to higher value-add activities.

Consulting 244

Consulting Testing Data Lake Data Quality 244

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. Even without prior experience using Hudi, Delta Lake or Iceberg, you can easily achieve typical use cases.

Visualization 76

Visualization Data Lake Snapshot Big Data 76

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. About the authors Sivaprasad Mahamkali is a Senior Streaming Data Engineer at AWS Professional Services. Shovan works with customers to design data and machine learning solutions on AWS.

Metadata 84

Metadata Data Lake Visualization Data Transformation 84

Cloudera

MARCH 17, 2023

The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse. Some of the popular table formats are Apache Iceberg, Delta Lake, Hudi, and Hive ACID.

Unstructured Data 61

Unstructured Data Data Lake Data Warehouse Machine Learning 61

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 85

Data Lake Data Warehouse B2B Data-driven 85

Cloudera

OCTOBER 6, 2022

Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions. . In reflecting on these definitions, I particularly like how Gartner highlights legacy modernization as a common component of such initiatives, noting that digital transformation can be more about digitization than transformation.

Digital Transformation 86

Digital Transformation Cost-Benefit Data Lake Machine Learning 86

AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. The following is a visual representation of an example job where the number of workers is 10. On the Graphed metrics tab, configure your preferred statistic, period, and so on.

Metrics 92

Metrics Data Lake Cost-Benefit Dashboards 92

CIO Business Intelligence

OCTOBER 25, 2022

The variables seem endless: data— security , science , storage , mining , management , definition , deletion , integration , accessibility , architecture , collection , governance , and the ever-elusive, data culture. So, they built a data-lake. The data lake, too, took on new purpose.

Data Strategy 143

Data Strategy Strategy Data Lake Data-driven 143

AWS Big Data

JUNE 21, 2023

When setting out to build a data warehouse, it’s a common pattern to have a data lake as the source of the data warehouse. The data lake in this context serves a number of important functions: It acts as a central source for multiple applications, not just exclusively for data warehousing purposes.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

ScienceSoft

SEPTEMBER 24, 2020

What is a data warehouse? Definition and purpose| DWH vs big data warehouse vs a data lake | DWH trends to consider for your business | DWH pricing

Data Warehouse 45

Data Warehouse Data Lake Big Data 45

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 80

Data Lake Data Architecture Data-driven Data Warehouse 80

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it.

Data Analytics 123

Data Analytics Analytics Recreation/Entertainment Data Lake 123

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 64

Data Architecture Metadata Data Lake Snapshot 64

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. When can you declare it done?

Testing 157

Testing Metadata Dashboards Statistics 157

AWS Big Data

OCTOBER 4, 2023

Business-driven domains – A DataZone domain represents the distinct boundary of a line of business (LOB) or a business area within an organization that can manage its own data, including its own data assets, its own definition of data or business terminology, and may have its own governing standards.

Metadata 96

Metadata Data Lake Publishing Data Governance 96

Cloudera

APRIL 29, 2021

Import flow definition : by dragging and dropping a process group on the canvas, you can now easily import a flow definition that you exported in another environment. Cloudera commits to provide you with the best options to move data from any system to any other system.

Metrics 73

Metrics Data Lake Dashboards Reporting 73

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Each job also has an associated user-defined cost allocation tag that we use to create a data quality cost report in AWS Cost Explorer later on.

Data Quality 85

Data Quality Measurement Testing Visualization 85

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. You can then augment recommendations with out-of-the-box data quality rules.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

Cloudera

AUGUST 18, 2021

Data processed at the edge or in the cloud, for instance, is not effective if it follows the traditional lifecycle of “ingest, process, land, and analyze.” If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

CIO Business Intelligence

MAY 10, 2023

Yet if we come across an ERP that’s not necessarily mainstream, they’ll have challenges getting into the back end, and integrating and understanding the relational data to connect it to our central data lake. That’s going to be an ongoing technical risk that we’ll have and we need to overcome that. It’s a work in progress.

Data-driven 107

Data-driven IT Digital Transformation Data Governance 107

Jet Global

JANUARY 15, 2021

There are definite steps you can take to increase customer value, win loyalty, and improve your chances of retaining those customers for the long haul. The required investment to develop reports on Power BI and Azure Data Lakes is considerable, and there are substantial liabilities to consider before making a costly long-term commitment.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

Metadata 80

Metadata Data Lake Optimization Modeling 80

Jen Stirrup

MARCH 9, 2019

I tried to connect my Azure Data Lake gen 2 storage to Power BI, and I ran into this error message: ”Your Azure storage account must be in the same Azure Active Directory tenant as your Power BI tenant.’ ’ I checked, and my Azure storage account was definitely in the same Azure Active Directory tenant as Power BI. .’

Data Lake 49

Data Lake IT Business Intelligence 49

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. The state to redrive from the workflow definition and the previous input are immutable.

Metadata 117

Metadata Visualization Data Lake Data-driven 117

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. Outside of work she enjoys traveling and trying new cuisines.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

Cloudera

JUNE 24, 2021

From the Cloudera Management Console, click Data Hub Clusters. Click Create Data Hub. In the Selected Environment with running Data Lake drop-down list, select the same environment used by your COD instance. Select the Cluster Definition. For example, select the 7.2.10 COD Edge Node for AWS cluster template.

Data Lake 55

Data Lake Interactive Management IT 55

CIO Business Intelligence

MARCH 14, 2024

In his business continuity project, Deligia’s team of about 20 internal resources and the outsourced IT team is responsible for merging technical data, such as digital service operation logs, and business and sales data into a data lake.

Digital Transformation 90

Digital Transformation Sales Forecasting Data Lake 90