Knowledge Hut

MARCH 7, 2024

With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1. The Need for More Trained Professionals Research shows that since 2018, 2.5 Two, it creates a commonality of data definitions, concepts, metadata and the like.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Towards Data Science

FEBRUARY 15, 2023

Before going into further details on Delta Lake, we need to remember the concept of Data Lake, so let’s travel through some history. The main player in the context of the first data lakes was Hadoop, a distributed file system, with MapReduce, a processing paradigm built over the idea of minimal data movement and high parallelism.

Data Lake 98

Data Lake Data Warehouse Hadoop Architecture 98

Cloudera

JULY 11, 2022

Their most recent evaluation, Forrester Wave : Enterprise Data Fabric, Q2 2022, came out on June 23, 2022 and ranked Cloudera as a strong performer. Forrester ranked Cloudera at the same level in their two previous Wave reports on this topic (2020 and 2018). .

Data Architecture 107

Data Architecture Architecture Data Government 107

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

Data Engineering Podcast

JUNE 1, 2020

Your host is Tobias Macey and today I’m interviewing Ori Rafael and Yoni Iny about building a data lake for the DBA at Upsolver Interview Introduction How did you get involved in the area of data management? Can you start by sharing your definition of what a data lake is and what it is comprised of?

Data Lake 100

Data Lake Database Building Lambda Architecture 100

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. Only three years later, that number more than tripled to 59% in 2018.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Cloudera

OCTOBER 3, 2018

The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We are both convinced that a scale-out, shared-nothing architecture — the foundation of Hadoop — is essential for IoT, data warehousing and ML. We have each innovated separately in those areas.

Hadoop 75

Hadoop Cloud Data Storage Machine Learning 75

dbt Developer Hub

JULY 12, 2022

Most, if not all, modern cloud data warehouses support some type of the DATE_TRUNC function. There may be some minor differences between the argument order for DATE_TRUNC across data warehouses, but the functionality very much remains the same.

SQL 52

SQL IT Data Warehouse BI 52

Cloudera

AUGUST 2, 2018

In each of the cases outlined above, the technology enabler is a new generation of data warehouses. We call it ‘Modern Data Warehousing’. Simply put, modern data warehousing enables our customers to confidently share petabytes of verified data across thousands of users while surpassing demands of SLAs and limited budgets.

Data Warehouse 51

Data Warehouse Insurance Banking Cloud 51

AltexSoft

NOVEMBER 23, 2021

Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation. Data virtualization vs data consolidation. The example of a typical two-tier architecture with a data lake and data warehouses and several ETL processes.

Process 69

Process Data Lake Metadata Data Warehouse 69

dbt Developer Hub

MAY 14, 2022

extract(<date_part > from <date/time field > ) Depending on the data warehouse you use, the value returned from an EXTRACT function is often a numeric value or the same date type as the input <date/time field> Read the documentation for your data warehouse to better understand EXTRACT outputs.

SQL 40

SQL IT Bytes Data Warehouse 40

Cloudera

DECEMBER 2, 2020

After experiencing negative growth in 2018, Telkomsel made the strategic decision to focus solely on becoming a trusted provider of mobile, digital lifestyle, services, and solutions. With access to vast amounts of data from its customer base, the company knew its ability to mine this data would be a key driver of positive transformation.

Telecommunication 67

Telecommunication Data Science Business Intelligence Data Warehouse 67

Sync Computing

JANUARY 27, 2025

The global data landscape is experiencing remarkable growth, with unprecedented increases in data generation and substantial investments in analytics and infrastructure. As the volume of data continues to grow, so does the need for specialized skills to effectively manage it.

AWS 52

AWS Data Lake Machine Learning Big Data 52

DataKitchen

NOVEMBER 20, 2021

Chip Bloche is a Data Engineering Director at DataKitchen. Chip joined DataKitchen as a DataOps chef in 2018 leading a team of DataOps Engineers. The post How To Succeed As a DataOps Engineer first appeared on DataKitchen.

Engineering 98

Engineering Data Engineering Data Engineer Machine Learning 98

Knowledge Hut

JUNE 30, 2023

Spark: The Definitive Guide: Big Data Processing Made Simple Spark: The Definitive Guide: Big Data Processing Made Simple is a must-have reference for individuals wishing to get started with Apache Spark. Investigate the difficulties and solutions in developing distributed systems and ensuring data consistency.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Edureka

JUNE 1, 2023

AWS provides services for data transfer, data storage, data lakes, big data analytics, machine learning, and everything in between that are specifically designed to deliver the greatest price-performance. is a next-generation pharmacy organization that delivers meaningful solutions to the people it serves.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Grouparoo

SEPTEMBER 7, 2021

The Modern Data Stack is a recent development in the data engineering space. The core enabler of the Modern Data Stack is that data warehouse technologies such as Snowflake, BigQuery, and Redshift have gotten fast enough and cheap enough to be considered the source of truth for many businesses.

ETL Tools 52

ETL Tools Data Warehouse Business Intelligence Datasets 52

Cloudera

FEBRUARY 11, 2019

In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives. To achieve their goals of digital transformation and becoming data-driven, companies need more than just a better data warehouse or BI tool.

Government 57

Government Data Governance Data Science Machine Learning 57

ProjectPro

SEPTEMBER 11, 2015

By 2018, the Big Data market will be about $46.34 Demand for Big Data Analytics talent will by far surpass the supply of talent by 2018. According to a McKinsey Global Institute study, it is estimated that in the United States alone, there will be a shortage of Big Data and Hadoop talent by 1.9k

Hadoop 52

Hadoop Java BI Big Data 52

Towards Data Science

MARCH 6, 2023

Google Big Query (GBQ) is Google’s cloud data warehouse solution. An OLAP-focused database with a serverless SQL query execution capable of processing large amounts of data. Data used —  Microdados do Censo da Educação Superior , [CC BY-ND 3.0], INEP-Brazilian Gov. [1] Read them later using their “path”. Google Cloud.

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

dbt Developer Hub

JULY 26, 2022

dbt Cloud proxy server: this component enables dbt Cloud to dynamically rewrite requests to a data warehouse and compile dbt-SQL into raw SQL that the database understands. It’s a thin interface that is primarily responsible for performance and reliability in production environments. select * from {{ metrics.

Metadata 52

Metadata BI Datasets SQL 52

Monte Carlo

APRIL 24, 2023

By accommodating various data types, reducing preprocessing overhead, and offering scalability, data lakes have become an essential component of modern data platforms , particularly those serving streaming or machine learning use cases. See our post: Data Lakes vs. Data Warehouses.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Datakin

MARCH 22, 2022

Astronomer, founded in 2018, offers products and services that help customers get the most out of Airflow. But most of them are designed primarily to collect it from the query logs of data warehouses. Once a company has reached a certain size or complexity, chances are good they’re using Airflow.

Electronics 52

Electronics Datasets Metadata Government 52

Cloudera

JUNE 16, 2022

Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. By 2018, we saw the majority of our customers adopt Apache Kafka as a key part of their streaming ingestion, application integration, and microservice architecture. Better yet, it works in any cloud environment.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Cloudera

FEBRUARY 16, 2018

W e look forward to continuing our mission to help our customers unlock the power of data in 2018. PS – The 2018 awards are already coming in and one of note is our inclusion in the Best Places to Work for LGBTQ Equality list from the Human Rights Campaign’s 2018 Corporate Equality Index.

Manufacturing 45

Manufacturing Cloud Computing Healthcare Machine Learning 45

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. We are excited to kick off the 2018 Data Impact Awards ! Since 2012, the Data Impact Awards have showcased how organizations are using Cloudera and the power of data to transform themselves and achieve dramatic results. Deadline to submit is July 20, 2018.

Healthcare 41

Healthcare Machine Learning Media Data Science 41

Knowledge Hut

DECEMBER 26, 2023

Database-centric In bigger organizations, Data engineers mainly focus on data analytics since the data flow in such organizations is huge. Data engineers who focus on databases work with data warehouses and develop different table schemas. Let us now understand the basic responsibilities of a Data engineer.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

Snowflake

JANUARY 30, 2023

That all changed when Ramp switched to a scalable, simple data cloud with Snowflake. Since 2018, Ramp has helped finance teams at organizations to better manage resources, make more informed decisions, and automate revenue and user forecasting. How do you scale seamlessly, without worrying about keeping the lights on?

Data Architecture 52

Data Architecture Architecture Management Datasets 52

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. for the Oracle Big Data Appliance). To see the new capabilities in action, join our webinar on 13 June 2018.

Data Science 41

Data Science Machine Learning Big Data Metadata 41

Monte Carlo

MAY 14, 2024

Iceberg provides advanced features such as schema evolution, which allows modifications to a table’s schema without downtime, and snapshot isolation, which ensures data consistency. And that matters — because these new table formats are also introducing complexity in other ways.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

JUNE 29, 2018

Starting July 30, 2018, Cloudera University will post a monthly session of blended learning. Registration is now open for the first blended learning course, Developer for Spark and Hadoop Training , scheduled to begin July 30, 2018. How Will Blended Learning Work? Want to Get Started with Blended Learning?

Hadoop 43

Hadoop Datasets Big Data Accessible 43

Picnic Engineering

OCTOBER 17, 2023

This data is consumed by almost all our software systems such as our app, our purchase order management system, warehouse management systems, fintech, data warehouse and data science systems.

Data Management 52

Data Management Management Food Data 52

Knowledge Hut

JULY 5, 2024

Data engineers like myself play a pivotal role in assessing infrastructure and taking relevant actions. Looking ahead, the future of data engineering appears promising. With the increasing computing power of various cloud data warehouses, data engineers will be capable of efficiently handling large-scale tasks.

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

Airbnb Tech

SEPTEMBER 28, 2021

Back in 2018, Airbnb’s Airflow cluster had several thousand DAGs and more than 30 thousand tasks running at the same time. A typical Airflow cluster supports thousands of workflows, called DAGs (directed acyclic graphs), and there could be tens of thousands of concurrently running tasks at peak hours.

Utilities 52

Utilities Database Data Warehouse Data Pipeline 52

Cloudera

SEPTEMBER 12, 2018

. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Pharmaceutical 45

Pharmaceutical Banking Machine Learning Amazon Web Services 45

Cloudera

JUNE 14, 2018

Gartner’s recently released report “Master Data Management Forms the Basis of a Trusted 360-Degree View of the Customer,” shares the results of an executive survey highlighting several key points, including that customer initiatives, are among CEOs’ top five priorities in 2018. You can download the free report here.

Machine Learning 44

Machine Learning Big Data Data Management Management 44

AltexSoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two.

Architecture 52

Architecture Data Lake Medical Datasets 52