Team Data Science
SEPTEMBER 2, 2020
"Where can I start if I want to become a Data Engineer?" This is a question I have heard many times before. My answer to it is actually always the same: Start doing a Data Engineering project! Choose a tool Your first step here should be to select a tool. Then start with that tool and then build the whole thing up. So you get some data and then start with a tool.
Confluent
SEPTEMBER 1, 2020
If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths […].
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Data Engineering Podcast
AUGUST 31, 2020
Summary Data warehouse technology has been around for decades and has gone through several generational shifts in that time. The current trends in data warehousing are oriented around cloud native architectures that take advantage of dynamic scaling and the separation of compute and storage. Firebolt is taking that a step further with a core focus on speed and interactivity.
Cloudera
AUGUST 31, 2020
From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. And Cloudera is at the heart of enabling these real-time data driven transformations. .
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
Team Data Science
SEPTEMBER 1, 2020
"Since I started exploring Data Engineering, it has been overwhelming. In the end I have the feeling of giving up." This is a message that reached me from a viewer on YouTube. And that's exactly how I feel sometimes! Sometimes I feel a bit overwhelmed by the whole thing. Because there is so much going on. All the technology and Data Science hype. There is always something new on the horizon.
Teradata
SEPTEMBER 3, 2020
Taking the definition of physical gravity & extending it to data analytics, we explore the opportunities to combine data gravity with analytic processing, at scale with Vantage.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
SEPTEMBER 3, 2020
I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.
Team Data Science
SEPTEMBER 1, 2020
In which regions or countries is there a boom in the field of Data Sciences and thus a large number of jobs? This is a very interesting question, which newcomers or graduates often ask themselves. Maybe you have already asked yourself this question? The USA as an advanced country Companies in the USA are obviously very, very advanced with Data Science.
Netflix Tech
SEPTEMBER 4, 2020
HDMI?—?Scaling Netflix Certification Scott Bolter , Matthew Lehman , Akshay Garg ¹ At Netflix, we take the task of preserving the creative vision of our content all the way to a subscriber TV screen very seriously. This significantly increases the scope of our application integration and certification processes for streaming devices like set-top-boxes (STBs) and TVs.
Confluent
AUGUST 31, 2020
As a South African, who grew up during the era of apartheid, I’ve witnessed firsthand the negative and long-lasting impact of discrimination, bias, and inequity, and I have a strong […].
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Cloudera
SEPTEMBER 1, 2020
From a-z in 10 minutes! It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Imagine how many times IT has lost valuable time spending hours trying to understand Apache Solr application requirements and map them into how to best size and deploy the Solr service.
Team Data Science
AUGUST 30, 2020
Data Science , Artificial Intelligence and Machine Learning. These topics are currently the hype in the field of Data Science. Everyone wants to become a Data Scientist. But isn't the work being done in the field of Data Engineereing the real MVP? Isn't it important to have Data Scientists AND Data Engineers on board to make a project successful? Yes, it is!
DareData
SEPTEMBER 2, 2020
The world of data science and information technology is a constantly evolving landscape, where dozens of new tools and methodologies are created and updated daily, and many others quickly become obsolete. Every organization has their own ecosystem of applications, but even the most advanced organizations sometimes fall behind in certain areas when compared to the bleeding edge of technological advances.
Teradata
SEPTEMBER 1, 2020
With Teradata Vantage on Azure, customers have access to the same dynamic resource optimization tools that they have come to love with the added agility that Azure brings to the table.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Cloudera
SEPTEMBER 2, 2020
Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. There’s nothing comparable to it in the industry. CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in an on-premise environment. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX).
Team Data Science
AUGUST 30, 2020
You want to become a data engineer, but don't know how to set up a data engineering project? I will show you! Do not make this mistake! First of all you should not make the mistake that unfortunately many people make! Often people want to build the whole thing from the beginning. They say: "Okay I need to do a project. I need to make a big thing. I don't even know what data and what tools I want to use.
Confluent
SEPTEMBER 3, 2020
ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®.
Teradata
AUGUST 31, 2020
In part 2 of this 3 part series on reducing conflict between business & IT to accelerate innovation, we focus on enabling simplicity for compute, storage and connectivity.
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.
Preset
SEPTEMBER 1, 2020
Preset and Superset User Documentation is available for everyone that want to become a superset expert
Netflix Tech
SEPTEMBER 2, 2020
Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. by Elizabeth Carretto Everyone loves Unsolved Mysteries. There’s always someone who seems like the surefire culprit. There’s a clear motive, the perfect opportunity, and an incriminating footprint left behind.
Confluent
SEPTEMBER 3, 2020
ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka.
Teradata
SEPTEMBER 2, 2020
CEOs of banks know all about change. But the existential challenge posed by Big Tech requires a totally new set of skills. What do they need to learn to survive?
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Cloudera
SEPTEMBER 4, 2020
Article 3. The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. In the final installment in the series, Vijay Raja, Director of Industry & Solutions Marketing at Cloudera shares his views on how the telecom sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution?
Netflix Tech
SEPTEMBER 1, 2020
Kamer Toker-Yildiz , Colin McFarland , Julia Glick At Netflix, when we can’t run A/B experiments we run quasi experiments ! We run quasi experiments with various objectives such as non-member experiments focusing on acquisition, member experiments focusing on member engagement, or video streaming experiments focusing on content delivery. Consolidating on one methodology could be a challenge, as we may face different design or data constraints or optimization goals.
Rockset
SEPTEMBER 3, 2020
MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. However, these aggregation queries are frequently CPU-intensive and can block or delay the execution of other queries. For example, Online Transactional Processing (OLTP) queries are usually short read operations that have direct impacts on the user experience.
Teradata
SEPTEMBER 1, 2020
The Utah Jazz create winning customer experiences using Teradata Vantage on AWS with consumption pricing for flexible and elastic modern cloud analytics.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Cloudera
AUGUST 31, 2020
Service Management Group ( SMG ) offers an easy-to-use experience management (XM) platform that combines end-to-end customer and employee experience management software with hands-on professional services to deliver actionable insights and help brands get smarter about their customers. The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. .
Cloudera
SEPTEMBER 1, 2020
Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how streaming data might impact the financial services sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s Data-in-Motion Business Unit.
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