Cloudera

OCTOBER 26, 2020

Lineage and chain of custody, advanced data discovery and business glossary. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. Cluster management and replication support for Kafka clusters. Relevance-based text search over unstructured data (text, pdf,jpg, …). Virtual private clusters.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Cloudera

JUNE 9, 2022

With support for more than 400 processors, CDF-PC makes it easy to collect and transform the data into the format that your lakehouse of choice requires. Addressing the hybrid data collection and distribution requirements with a data distribution service. Release : Supports the latest Apache NiFi Release 1.16

Data Collection 94

Data Collection Data Lake Unstructured Data Retail 94

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

Data Ingestion 115

Data Ingestion MySQL PostgreSQL Data Pipeline 115

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Data Engineering Weekly

DECEMBER 16, 2024

Vector Search and Unstructured Data Processing Advancements in Search Architecture In 2024, organizations redefined search technology by adopting hybrid architectures that combine traditional keyword-based methods with advanced vector-based approaches.

Data Engineering 63

Data Engineering Data Engineer Engineering Unstructured Data 63

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

Knowledge Hut

JUNE 26, 2023

If you are struggling with Data Engineering projects for beginners, then Data Engineer Bootcamp is for you. Some simple beginner Data Engineer projects that might help you go forward professionally are provided below. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Netflix Tech

MARCH 10, 2023

Amsterdam service utilizes various solutions such as Cassandra , Kafka , Zookeeper , EvCache etc. Elasticsearch Integration Elasticsearch is one of the best and widely adopted distributed, open source search and analytics engines for all types of data, including textual, numerical, geospatial, structured or unstructured data.

Management 105

Management Metadata Digital Media Kafka 105

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Cloudera

JULY 26, 2021

Lambda or Kappa architectures) and implementing reliable streaming capabilities at scale by leveraging technologies such as Apache NiFi and Apache Kafka, has made possible the ability to harness and commercialize an ever-increasing volume of real-time data such as time-series or clickstream data.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

Kafka 40

Kafka Database Process SQL 40

Knowledge Hut

MAY 3, 2024

It allows you to process real-time streams like Apache Kafka using Python with incredible simplicity. We collect hundreds of petabytes of data on this platform and use Apache Spark to analyze these enormous amounts of data. Alibaba: Alibaba Taobao operates one of the world’s largest e-commerce platforms.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

DataKitchen

APRIL 13, 2021

StreamSets — The industry’s first data operations platform for full life-cycle management of data in motion. Infoworks — Use big data automation to simplify data engineering and DataOps. Lenses — The enterprise overlay for Apache Kafka R & Kubernetes. IBM – IBM renamed several of their products as DataOps.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. 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 lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. 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

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. But the “elephant in the room” is NOT ‘Hadoop’.

Hadoop 76

Hadoop Big Data Cloud Kafka 76

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

SEPTEMBER 23, 2021

A data hub, in turn, is rather a terminal or distribution station: It collects information only to harmonize it, and sends it to the required end-point systems. Data lake vs data hub. A data lake is quite opposite of a DW, as it stores large amounts of both structured and unstructured data.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Cloudera

AUGUST 20, 2021

For example, the Cloudera Data Flow experience offers an integrated event processing capability to deliver low-latency analytics by combining Flow Management (using Apache NiFi), Streams Messaging (using Apache Kafka) and Stream Processing / Analytics (using Apache Flink / SQL Stream Builder).

Data Warehouse 98

Data Warehouse Data Cloud Architecture 98

AltexSoft

MAY 14, 2021

It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Thanks to flexible schemas and great scalability, NoSQL databases are the best fit for massive sets of raw, unstructured data and high user loads. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Database 72

AltexSoft

JUNE 7, 2021

RDD easily handles both structured and unstructured data. The module can absorb live data streams from Apache Kafka , Apache Flume , Amazon Kinesis , Twitter, and other sources and process them as micro-batches. Just for reference, Spark Streaming and Kafka combo is used by.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Rockset

AUGUST 28, 2023

As AI models become more advanced, LLMs and generative AI apps are liberating information that is typically locked up in unstructured data. Using our previous serving infrastructure, the data would have to be sent through Confluent-hosted instances of Apache Kafka and ksqlDB and then denormalized and/or rolled up.

Metadata 78

Metadata Unstructured Data SQL Database 78

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. However, it is not straightforward to create data pipelines.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

SEPTEMBER 9, 2020

Of course there are many other ways (Spark in the Data Engineering experience, Nifi in the Data Flow experience, Kafka in the Stream Management experience, and so on), but those will be covered in future blog posts. If you decide to try DDE in CDP out , please let us know how it all went!

AWS 84

AWS Data Unstructured Data Hadoop 84

Towards Data Science

FEBRUARY 9, 2024

Streaming Kafka/ Confluent is king when it comes to data streaming, but working with streaming data introduces a number of new considerations beyond topics, producers, consumers, and brokers, such as serialization, schema registries, stream processing/transformation and streaming analytics.

Building 98

Building Transportation Data Lake Metadata 98

Wayne Yaddow

MARCH 14, 2025

Testing Limitations: Both dbt Cloud and dbtCore dbt is designed for SQL-based transformations in data warehouses, meaning it is not well-suited for non-SQL, real-time, or highly complex unstructured data transformations. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Unstructured Data 52

Unstructured Data SQL Data Pipeline Data Validation 52

Rockset

MARCH 22, 2022

Analytics databases ingest data in as near real time as possible, and allow fast analytical queries to be done on this data. However, with this data being streamed in real-time, it makes sense to also process and analyze it in real-time, especially if you have a genuine use case for up-to-date analytics. Which Should I Use?

Database 52

Database Kafka Transportation Unstructured Data 52

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Concepts of IaaS, PaaS, and SaaS are the trend, and big companies expect data engineers to have the relevant knowledge.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Snowflake

MARCH 30, 2023

Use Snowflake’s native Kafka Connector to configure Kafka topics into Snowflake tables. Snowflake’s support for unstructured data also means you can annotate and process images, emails, PDFs, and more into semi-structured or structured data usable by your ML model running within Snowflake.

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Monte Carlo

FEBRUARY 25, 2025

Its essential for fraud detection, live analytics dashboards, IoT data, and recommendation engines (think Netflix or Spotify adjusting recommendations instantly). Popular tools include Apache Kafka , Apache Flink , and AWS Kinesis. Data Lakes Data lakes store raw, unstructured data.

Designing 52

Designing Data Engineering Data Engineer Engineering 52

Monte Carlo

MARCH 28, 2024

In 2021, Vimeo moved from a process involving big complicated ETL pipelines and data warehouse transformations to one focused on data consumer defined schemas and managed self-service analytics.

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 15, 2014

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop?

Hadoop 52

Hadoop Java Unstructured Data SQL 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data pipelines can be automated and maintained so that consumers of the data always have reliable data to work with.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40