AWS Big Data

APRIL 25, 2024

By partitioning data, downstream analytical queries can skip irrelevant partitions, reducing the amount of data that needs to be scanned and processed. Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

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 74

Data Lake Snapshot Optimization Data Transformation 74

DataKitchen

OCTOBER 5, 2022

Jason is the CDO for Company X, responsible for six teams of data professionals across several locations. The breadth of his teams’ work and the technologies they use present a significant challenge to his main goal: to deliver new and useful analytics solutions to the business. to monitor your data operations. Sound familiar?

Testing 176

Testing Risk Data Processing Statistics 176

AWS Big Data

APRIL 12, 2023

We have been continually improving the Spark performance in each Amazon EMR release to further shorten job runtime and optimize users’ spending on their Amazon EMR big data workloads. release in January 2022, the optimized Spark runtime was 3.5 times faster than our first release of 2022, Amazon EMR 6.5. As of the Amazon EMR 6.5

Testing 76

Testing Big Data Metadata Optimization 76

DataKitchen

OCTOBER 5, 2022

Jason is the CDO for Company X, responsible for six teams of data professionals across several locations. The breadth of his teams’ work and the technologies they use present a significant challenge to his main goal: to deliver new and useful analytics solutions to the business. to monitor your data operations. Sound familiar?

Testing 130

Testing Risk Data Processing Statistics 130

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 87

Data Lake Data Architecture Metadata Data Warehouse 87

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas. Tools became stacks. Why are they so popular?

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Alation

JULY 18, 2022

That was the message — delivered a little more elegantly than that — at Databricks’ Data+AI Summit 2022. As a proud Databricks partner , Alation joined the data and analytics community for three days of keynotes, leadership remarks, and breakout sessions during the last week of June in San Francisco.

ROI 52

ROI Metadata Data Lake Digital Transformation 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 106

Data Lake Management Metrics Data Warehouse 106

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

CIO Business Intelligence

JANUARY 24, 2024

Shi , and “Swarm Robotics” (2022) by H. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. AI, ML, Analytics Policy and Security Laye r Establishes and enforces security protocols and compliance with policies across all layers.

IoT 118

IoT Machine Learning Optimization Internet of Things 118

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The platform also provides analytics and insights to support successful information sharing and fuel continuous improvement.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52