Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud Computing.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, Azure's growing popularity in the market makes it a strategic choice for those looking to enter the world of data engineering. Azure currently stands as the second-largest vendor of cloud services, solidifying its position as a platform worth investing in for aspiring Azure data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 3, 2023

Microsoft Azure stands out as a prominent contender in the field of cloud computing. In 2022, Azure had a market share of 23 percent, making it the market’s second most popular cloud infrastructure merchant. money spent by end users on cloud services is estimated to grow from $490.3 As per Gartner, Inc., billion in 2023.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Snowflake

AUGUST 8, 2023

In 2022, the company realized that in order to monitor, analyze, counter, and prevent security threats, it needed both a modern data lake as well as a security information and event management (SIEM) solution. Today, about 90% of SIEM solutions deliver capabilities exclusively in the cloud—up from 20% just three years ago.

Data Lake 52

Data Lake Programming IT Building 52

Cloudera

MAY 7, 2024

These offerings are also significant industry “firsts,” helping bring the power of open-source technology to the enterprise. Staying true to our commitment to deliver complete capabilities for streaming data across hybrid environments, this release represents a significant milestone for Cloudera and our enterprise customers.

Kafka 70

Kafka Data Lake Cloud Computing Cloud 70

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions. What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76

ThoughtSpot

SEPTEMBER 6, 2023

You can browse the full library of templates in the Data Workspace , or try them on your own data through ThoughtSpot’s 30-day free trial. To deploy a SpotApp, it is essential to have your data available in a cloud data platform. uptime and full data security compliance. And that’s all with 99.9%

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. Starting from the CDW Public Cloud DWX-1.6.1 release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Metadata 88

Metadata Data Warehouse BI AWS 88

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Deploying modern data architectures. Forrester ).

Data Architecture 76

Data Architecture Architecture Data Lake NoSQL 76

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. The term modern data stack refers to the multiple modular SaaS solutions that comprise the data platform and pipeline (more on those later).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Data Engineering Weekly

DECEMBER 4, 2022

I agree with #3 (central data platform team remains) and #6 (data warehouse and data lake difference blur); it will be amazing if #4 ( > 51% ML application in production) becomes true. On #5, I have a vested interest in Data Contract with Schemata , So hell yeah.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 25, 2023

Cloud computing has become a widely adopted technology in recent years. From startup to multinational companies, organizations are increasingly migrating their applications to the cloud to leverage its numerous benefits. To learn more about AWS cloud, you can enroll in our meticulously crafted course Cloud Engineer training.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Cloudera

SEPTEMBER 8, 2021

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade.

Cloud Computing 75

Cloud Computing Government Data Lake Cloud 75

Rockset

JANUARY 28, 2022

Wealth of Data, Little Observability Those metrics included the data generated by existing and new Seesaw users as they interacted with the service. Storing all of that data was not a problem. Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Cloudera

APRIL 3, 2023

CDW basics Cloudera Data Warehouse (CDW) Data Service is a Kubernetes-based application for creating highly performant, independent, self-service data warehouses in the cloud that can be scaled dynamically and upgraded independently. Read why the future of data lakehouses is open.

Data Warehouse 79

Data Warehouse Metadata Java Data 79

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. Why Cloudera DataFlow?

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

AltexSoft

NOVEMBER 7, 2022

So you can quickly link to many popular databases, cloud services, and other tools — such as MySQL, PostgreSQL, HDFS ( Hadoop distributed file system), Oracle, AWS, Google Cloud, Microsoft Azure, Snowflake, Slack, Tableau , and so on. The most common applications of the platform are. Look through the full list of available hooks here.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Data Engineering Weekly

SEPTEMBER 3, 2023

link] Kyle Weller: Delta, Hudi, Iceberg — A Benchmark Compilation The LakeHouse architecture brings the best of the database and the data lake into the data infrastructure. link] Cloud Native Geo: Performance Explorations of GeoParquet (and DuckDB) GeoParquet is a second data format I came across this week.

Data Engineering 73

Data Engineering Data Engineer Engineering Data 73

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No. Hybrid matters!

Kafka 80

Kafka SQL ETL Tools Data Lake 80