Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022.

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

FEBRUARY 4, 2024

The solution centered around Notebook opens a Flink Session for the Kafka stream and continues the exploration. It opens some old memory; try to solve this problem first with Presto-Kafka connector and then using OLAP engines like Druid & Apache Pinot. It also reminds me there is no modern alternative to Secor.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Christophe Blefari

MARCH 17, 2023

We are organising next week with the Paris Apache Airflow Meetup group an online event to discuss about Airflow alternatives. In the article Grab team explain how to migrated from roles to attributes autorisation on Kafka. Other few articles but with no comment: Introducing multi-modal index for the Lakehouse in Apache Hudi.

Data 130

Data SQL Deep Learning Kafka 130

Data Engineering Weekly

MARCH 24, 2024

al6z: 16 Changes to the Way Enterprises Are Building and Buying Generative AI This report has a lot of interesting insight into the enterprise adoption of Gen AI. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Cloudera

JUNE 7, 2021

The report states that richness of analytics, development tool options and near-effortless scalability are what streaming analytics customers should look for in a provider. . In this report, Forrester states – “ What happened yesterday happened yesterday. It’s too late.

Kafka 103

Kafka Data Ingestion Architecture Cloud 103

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Kafka 81

Kafka Data Cloud Big Data 81

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Kafka 111

Kafka Transportation Metadata Consulting 111

Data Engineering Weekly

APRIL 28, 2023

Here are the top 5 key learnings from the report. LinkedIn writes about its experience adopting Apache Beam’s approach, where Apache Beam follows unified pipeline abstraction that can run in any target data processing runtime such as Samza, Spark & Flink.

Consulting 52

Consulting Kafka Lambda Architecture Engineering 52

Cloudera

JANUARY 20, 2021

Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). These insights will deliver dashboards, reports and predictive analytics that drive high value manufacturing use cases. STEP 4: Capture data from Apache Kafka streams.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Data Engineering Podcast

AUGUST 3, 2021

Then it becomes a critical report that they need updated every week or every day. Your host is Tobias Macey and today I’m interviewing Vinoth Chandar about Apache Hudi, a data lake management layer for supporting fast and incremental updates to your tables. Sign up free at dataengineeringpodcast.com/rudder today.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Cloudera

OCTOBER 13, 2020

At the heart of CDP is SDX , a unified context layer for governance and security, that makes it easy to create a secure data lake and run workloads that address all stages of your data lifecycle (collect, enrich, report, serve and predict). Enrich – Data Engineering (Apache Spark and Apache Hive). This is Now.

Cloud 97

Cloud Data Warehouse AWS Machine Learning 97

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JULY 3, 2023

Analytics and Reporting: In this stage, Real-time data ingestion infrastructure includes real-time analytics engines, machine learning models, visualization tools, and dashboards that provide real-time insights, and based on those insights’ organizations can make decisions. It provides low-latency and fault-tolerant stream processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Data Engineering Podcast

SEPTEMBER 28, 2020

Summary Kafka has become a de facto standard interface for building decoupled systems and working with streaming data. To make the benefits of the Kafka ecosystem more accessible and reduce the operational burden, Alexander Gallego and his team at Vectorized created the Red Panda engine.

Kafka 100

Kafka BI Big Data Data Engineering 100

Knowledge Hut

JUNE 26, 2023

Stock and Twitter Data Extraction Using Python, Kafka, and Spark Project Overview: The rising and falling of GameStop's stock price and the proliferation of cryptocurrency exchanges have made stocks a topic of widespread attention. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Data Engineering Podcast

JULY 27, 2021

Then it becomes a critical report that they need updated every week or every day. Your host is Tobias Macey and today I’m interviewing Prabhat Jha and Jonathan Ellis about Astra Streaming, a cloud-native streaming platform built on Apache Pulsar Interview Introduction How did you get involved in the area of data management?

Building 100

Building Management Kafka Data Warehouse 100

Cloudera

APRIL 29, 2021

Cloudera released a lot of things around Apache NiFi recently! that provides Apache NiFi on top of Cloudera Data Platform (CDP) 7.1.6. This major release provides the latest and greatest of Apache NiFi as it includes Apache NiFi 1.13.2 We just released Cloudera Flow Management (CFM) 2.1.1 Cloudera also released CDP 7.2.9

Cloud 75

Cloud Amazon Web Services Google Cloud Data Lake 75

Knowledge Hut

APRIL 24, 2024

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. It provides real-time weather data updates, severe weather alerts, customizable user interface, and analytics and reporting features.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Data Engineering Podcast

JULY 8, 2018

The Apache NiFi project models this problem as a collection of data flows that are created through a self-service graphical interface. Your host is Tobias Macey and today I’m interviewing Kevin Doran and Andy LoPresto about Apache NiFi Interview Introduction How did you get involved in the area of data management?

Building 100

Building Transportation Kafka Java 100

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Data integration: Data engineers should be able to integrate data from various sources like databases, APIs, or file systems, using tools like Apache NiFi, Fivetran, or Talend.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Database 92

Database Cloud Data Warehouse Data Lake 92

Knowledge Hut

OCTOBER 27, 2023

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. It provides real-time weather data updates, severe weather alerts, customizable user interface, and analytics and reporting features.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Cloudera

APRIL 20, 2021

Transportation: Monitor truck health and performance from smartphones and tablets, prioritize needed reports, and quickly identify the nearest dealer service locations. Streamings Messaging , powered by Apache Kafka, buffers and scales massive volumes of data streams for streaming analytics.

Hospitality 96

Hospitality Kafka Retail Data Ingestion 96

ProjectPro

DECEMBER 7, 2021

Building Pipelines : The next step involves synchronizing pipelines’ output for desired applications like reporting, data science, automation, and more. In that case, you will be required to build numerous pipelines for reporting, business intelligence, sentiment analysis , and recommendation systems.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

SEPTEMBER 7, 2021

Our early users report that Rollups has boosted their analytics performance 30-100 times, while reducing their storage needs between 5 to a whopping 150 times. And unlike other real-time analytic systems such as Apache Druid, Rockset’s Rollups can ingest data from databases, in addition to event streams, and be specified using familiar SQL.

Kafka 52

Kafka SQL Education Data 52

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. The lack of a state data store , detailed reporting, integration with other tools, and orchestration capabilities also imposed significant manual overhead.

Big Data 92

Big Data Hadoop Metadata Data 92

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Apache Spark, Microsoft Azure, Amazon Web services, etc. The top five tools are mentioned below: Apache Spark: An open-source data analytics engine that notable firms like Apple, Microsoft, and IBM use.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

OCTOBER 12, 2020

Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? Equalum also leverages open source data frameworks by orchestrating Apache Spark, Kafka and others under the hood. What are the features of Power BI that make it stand out?

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

Snowflake

AUGUST 16, 2023

Snowpipe Streaming enables low-latency streaming data pipelines to support writing data rows directly into Snowflake from business applications, IoT devices or event sources such as Apache Kafka, including topics coming from managed services such as Confluent Cloud or Amazon MSK. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Rockset

JULY 28, 2022

Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka. The out-of-the-box connectors make it fairly simple to set up the CDC solution, however they do require the use of a Kafka cluster.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Snowflake

MARCH 21, 2023

Streaming Data Ingestion Snowpipe Streaming, Now in Public Preview Ingest rowsets from business application and IoT devices or from Apache Kafka topics directly into Snowflake at low latency. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster.

Retail 73

Retail Healthcare Data Ingestion Consulting 73

Big Data Tools

NOVEMBER 9, 2022

Apache Doris 1.1.3 – Here’s another interesting database for you. We aren’t aware of many MPP databases, and none of them are under the motley umbrella of the Apache Software Foundation. It is built specifically for ad-hoc queries, report analysis, and other similar tasks. For example, the current 1.1.3

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

Apache Doris 1.1.3 – Here’s another interesting database for you. We aren’t aware of many MPP databases, and none of them are under the motley umbrella of the Apache Software Foundation. It is built specifically for ad-hoc queries, report analysis, and other similar tasks. For example, the current 1.1.3

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Monte Carlo

NOVEMBER 27, 2023

Data teams, on the other hand, recently reported that data downtime nearly doubled year over year and that each hour was getting more expensive. We were also proud to announce that, by the end of the year, Monte Carlo will integrate with Apache Kafka through Confluent Cloud.

Unstructured Data 59

Unstructured Data Data Pipeline Data Banking 59

Data Engineering Podcast

SEPTEMBER 21, 2020

Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance?

Data Engineering 100

Data Engineering Data Engineer Engineering AWS 100

Monte Carlo

JANUARY 5, 2024

Data consumers downstream, like data analysts and data scientists, can try new analytical approaches and run their own reports without needing to move or copy data – reducing the workload for data engineers. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data consumers downstream, like data analysts and data scientists, can try new analytical approaches and run their own reports without needing to move or copy data – reducing the workload for data engineers. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52