AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. He is devoted to designing and building end-to-end solutions to address customers’ data analytic and processing needs with cloud-based, data-intensive technologies.

Data Integration 108

Data Integration Data Lake Data Warehouse Software 108

AWS Big Data

APRIL 26, 2024

Set up EMR Studio In this step, we demonstrate the actions needed from the data lake administrator to set up EMR Studio enabled for trusted identity propagation and with IAM Identity Center integration. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane.

Analytics 100

Analytics Data Lake Management Enterprise 100

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 107

Data Lake Visualization Optimization Interactive 107

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. His core area of expertise include Technology Strategy, Data Analytics, and Data Science.

Metadata 121

Metadata Visualization Data Lake Data-driven 121

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Data lakes or data lake houses alone cannot solve the efficiency problem.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

JANUARY 22, 2024

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

Data-driven 91

Data-driven Advertising Metadata Data Architecture 91

Alation

JULY 7, 2022

In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Data governance, for the win! Or something. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. As you mentioned, Qlik is in there.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42