Confluent
AUGUST 25, 2021
To effectively use ksqlDB, the streaming database for Apache Kafka®, you should of course be familiar with its features and syntax. However, a deeper understanding of what goes on underneath […].
AltexSoft
AUGUST 25, 2021
Humans have been trying to make machines chat for decades. Alan Turing considered computers’ ability to generate natural speech a proof of their ability to think. Today, we converse with virtual companions all the time. But despite years of research and innovation, their unnatural responses remind us that no, we’re not yet at the HAL 9000-level of speech sophistication.
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Data Engineering Podcast
AUGUST 27, 2021
Summary The reason that so much time and energy is spent on data integration is because of how our applications are designed. By making the software be the owner of the data that it generates, we have to go through the trouble of extracting the information to then be used elsewhere. The team at Cinchy are working to bring about a new paradigm of software architecture that puts the data as the central element.
Cloudera
AUGUST 26, 2021
Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Confluent
AUGUST 26, 2021
When companies need help with their vehicle fleets—including transport, storage, or renewing expired registrations—they don’t want to have to deal with multiple vehicle logistics providers. For these companies, ACERTUS provides […].
DataKitchen
AUGUST 27, 2021
DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
AUGUST 22, 2021
Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space?
Confluent
AUGUST 24, 2021
Sometimes you’d like to write your own code for producing data to an Apache Kafka® topic and connecting to a Kafka cluster programmatically. Confluent provides client libraries for several different […].
Rockset
AUGUST 25, 2021
The world is moving from batch to real-time. With Confluent’s recent IPO, streaming data has officially gone mainstream, “becoming the underpinning of a modern digital customer experience, and the key to driving intelligent, efficient operations” to quote from their letter to shareholders. But while it’s easier to stream the data, analyzing it in real time still involves too much cost and complexity.
Teradata
AUGUST 22, 2021
As 5G puts data analytics at the heart of the next wave of sustainable growth, telcos must ensure their existing investments in data infrastructure can be leveraged to enable that growth.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Cloudera
AUGUST 24, 2021
Meet Barnabas Maidics. . Barnabas is a 3 year Clouderan working as a Software Engineer in Hungary. . Having started his journey at Cloudera as an intern and then making his way to the Data In Motion team, Barnabas feels his first experience in the real world of work has allowed him to grow, not only professionally but on a personal level as well. He’s always known this was the career path for him.
Monte Carlo
AUGUST 23, 2021
When it came to achieving data trust at Vimeo, Lior Solomon, VP of Engineering, Data, and his team were faced with an important choice: build or buy their data observability platform. After trying various solutions, they chose to partner with Monte Carlo, a decision that allowed them to “ literally jump into the future ” with the platform’s automatic detection and end-to-end visibility into their Looker and Snowflake pipelines in minutes — not days.
Preset
AUGUST 23, 2021
Why Apache Superset™, an open source data visualization and BI platform, is the most compelling Looker alternative, a closed-source BI platform by Google.
Teradata
AUGUST 24, 2021
Learn more about Cloud Snapshots, how they compare to traditional backups and how they can be deployed in your architecture to maximize data protection.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Cloudera
AUGUST 25, 2021
In this edition of Partner Perspective, Cloudera’s own Rachel Tuller sits down with Craig Smith, Vice President of Data, AI and IoT at Tech Data. They discuss the importance of business partnerships, the pandemic’s impact on the tech industry, and Craig’s predictions about the industry going forward. Tech Data is one of the largest technology distributors globally.
RudderStack
AUGUST 25, 2021
In this update, we cover two major feature releases related to sources and cover several new integrations.
Preset
AUGUST 24, 2021
Apache Superset™ 1.3 is out! This version adds new chart types and support for new data sources. In addition, confusing UI flows have been redesigned.
Data Engineering Podcast
AUGUST 25, 2021
Summary The technological and social ecosystem of data engineering and data management has been reaching a stage of maturity recently. As part of this stage in our collective journey the focus has been shifting toward operation and automation of the infrastructure and workflows that power our analytical workloads. It is an encouraging sign for the industry, but it is still a complex and challenging undertaking.
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Cloudera
AUGUST 25, 2021
COVID-19 vaccines were developed in record time. One of the main reasons for the accelerated development was the quick exchange of data between academia, healthcare institutions, government agencies, and nonprofit entities. “COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera.
ProjectPro
AUGUST 24, 2021
Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy. Within no time, most of them are either data scientists already or have set a clear goal to become one.
Grouparoo
AUGUST 24, 2021
The State of Customer Data The Modern Data Stack is all about making powerful marketing and sales decisions and performing impactful business analytics from a single source of truth. Customer Data Integration makes this possible. Customers expect personalized experiences, connection, and relevancy. However, the fact of the matter is that without accurate, up-to-date data in a centralized location, your marketing team is missing out on opportunities.
Cloudera
AUGUST 21, 2021
There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. As banks find their bearings in this landscape, what appear to be insurmountable odds are in fact opportunities for growth and competitive differentiation. .
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
Cloudera
AUGUST 27, 2021
With submissions for the Data Impact Awards coming in, we’re revisiting last year’s winners to find out what set them apart. . In 2020, Telkomsel took home the gold in the Industry Transformation category. . The company stood out to the judges for taking its business to the next level by disrupting the telecommunication’s industry through the application of new technologies, skills, and operational processes.
ProjectPro
AUGUST 25, 2021
This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. Table of Contents Linear Regression vs Logistic Regression - How are they related ?
ProjectPro
AUGUST 21, 2021
Consider that you are with the following data table and its associated graph: Age Daily consumption Dairy Staple Food High-CalorieFood Supplements 0- 10 50 30 10 10 11- 30 35 45 15 5 31- 50 25 55 13 7 51- 80 40 40 4 16 Even if you’ve just skipped over the figures, you’d agree that the graph is at the very least a tad bit more memorable and appealing than data tables or text.
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